feat: sensor-engineer skill package v0.1.0

2026-08-14 16:58:58 +02:00
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--- a/PROVENANCE.md
+++ b/PROVENANCE.md
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+# Data provenance — sensor-engineer
+
+Where the content of this skill package comes from, counted by
+content items (tasks, competences, tools, evidence entries, curated
+knowledge). Rendered live by Gitea:
+
+```mermaid
+%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
+pie showData
+    title Content sources — sensor-engineer
+    "ESCO (occupation & competences)" : 109
+    "O*NET (tasks & tools)" : 94
+    "Job boards (market evidence)" : 88
+    "Anthropic official Claude skills" : 5
+    "External AI skill packs (mapped)" : 162
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 109 | 23.8 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 94 | 20.5 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 88 | 19.2 % | references/market.md (full report) + "Market evidence" headline sections |
+| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
+| Anthropic official Claude skills | 5 | 1.1 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 162 | 35.4 % | references/ai-skills.md (per-source attribution inside) |
+| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
+
+Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
+job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
+paraphrased with source URLs — never copied · external AI skills are
+linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
--- a/SKILL.md
+++ b/SKILL.md
@@ -0,0 +1,76 @@
+---
+name: sensor-engineer
+description: "Occupational skill for the role 'sensor engineer' (also: sensor technology engineering specialist, electronic sensor engineer, sensor engineering expert, sensor design engineer, sensors engineer, sensor designer). Use when the user asks for typical sensor engineer work such as: Verify compliance of developed applications with architectural standards and established practices.; Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies.; Provide technical support for radio frequency identification device (RFID) technology."
+---
+
+# Sensor Engineer
+
+Sensor engineers design and develop sensors, sensor systems and products that are equipped with sensors. They plan and monitor the manufacture of these products.
+
+## Core workflow
+
+1. Verify compliance of developed applications with architectural standards and established practices.
+2. Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies.
+3. Provide technical support for radio frequency identification device (RFID) technology.
+4. Perform systems analysis or programming of radio frequency identification device (RFID) technology.
+5. Document equipment or process details of radio frequency identification device (RFID) technology.
+6. Train users in details of system operation.
+7. Analyze radio frequency identification device (RFID)-related supply chain data.
+8. Test tags or labels to ensure readability.
+
+## How to use this skill
+
+- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
+- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
+- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
+- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
+- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
+
+## Key competences (essential)
+
+- abide by regulations on banned materials
+- adjust engineering designs
+- analyse test data
+- approve engineering design
+- computer simulation
+- conduct literature research
+- conduct quality control analysis
+- control engineering
+- demonstrate disciplinary expertise
+- design drawings
+- design prototypes
+- design sensors
+- develop electronic test procedures
+- digital twin technology
+- electricity
+
+## Hot technologies
+
+- The MathWorks MATLAB
+- Dassault Systemes SolidWorks
+- Microsoft SQL Server
+- Structured query language SQL
+- C
+- Microsoft Visual Basic
+- Microsoft Visual Studio
+- Ruby
+- Extensible markup language XML
+- SAP software
+
+
+<!-- hot-tech -->
+
+## Hot technologies
+
+Top tools from 45 gated job ads (see references/market.md, as of 2026-07-19):
+
+- MATLAB — 33 %
+- Python — 24 %
+- C++ — 9 %
+- DOORS — 9 %
+- SolidWorks — 7 %
+
+<!-- hot-tech -->
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/4f4d33a1-0b41-4dd9-8a42-aeba5a3974ab), O*NET 30.3 (17-2072.01). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,244 @@
+{
+  "name": "sensor-engineer",
+  "title": "sensor engineer",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/4f4d33a1-0b41-4dd9-8a42-aeba5a3974ab",
+    "esco_code": "2152.1.15",
+    "isco_group": "2152",
+    "onet_soc": "17-2072.01",
+    "crosswalk_match": "closeMatch"
+  },
+  "sources": [
+    {
+      "name": "ESCO",
+      "version": "1.2.1",
+      "url": "https://esco.ec.europa.eu/"
+    },
+    {
+      "name": "O*NET",
+      "version": "30.3",
+      "url": "https://www.onetcenter.org/",
+      "license": "CC BY 4.0"
+    }
+  ],
+  "attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
+  "counts": {
+    "tasks": 21,
+    "dwas": 20,
+    "skills_essential": 42,
+    "skills_optional": 66,
+    "software": 52
+  },
+  "enrichment_ai_skills": {
+    "generated": "2026-07-14",
+    "method": "deterministic mapping (ISCO prefix + title/competence keywords)",
+    "sources": {
+      "anthropics/skills": {
+        "repo": "https://github.com/anthropics/skills",
+        "commit": "f6656c1",
+        "license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
+        "skills": 2
+      },
+      "K-Dense-AI/claude-scientific-skills": {
+        "repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 6
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 6
+      },
+      "nWave-ai/nWave": {
+        "repo": "https://github.com/nWave-ai/nWave",
+        "commit": "1d0f13c",
+        "license": "MIT",
+        "skills": 2
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 12
+      },
+      "rampstackco/claude-skills": {
+        "repo": "https://github.com/rampstackco/claude-skills",
+        "commit": "bc6d961",
+        "license": "MIT",
+        "skills": 3
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 7
+      },
+      "AgriciDaniel/claude-ads": {
+        "repo": "https://github.com/AgriciDaniel/claude-ads",
+        "commit": "669c760",
+        "license": "MIT",
+        "skills": 1
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 1
+      },
+      "ferdinandobons/startup-skill": {
+        "repo": "https://github.com/ferdinandobons/startup-skill",
+        "commit": "a5f97c3",
+        "license": "MIT",
+        "skills": 1
+      },
+      "brycewang-stanford/Auto-Empirical-Research-Skills": {
+        "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
+        "commit": "85bf545",
+        "license": "CC-BY-4.0",
+        "skills": 12
+      },
+      "vibeeval/vibecosystem": {
+        "repo": "https://github.com/vibeeval/vibecosystem",
+        "commit": "cea9462",
+        "license": "MIT",
+        "skills": 2
+      },
+      "indranilbanerjee/digital-marketing-pro": {
+        "repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
+        "commit": "a3d119c",
+        "license": "MIT",
+        "skills": 1
+      },
+      "infrasity-labs/dev-gtm-claude-skills": {
+        "repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
+        "commit": "02cfefb",
+        "license": "MIT",
+        "skills": 3
+      },
+      "AgriciDaniel/claude-blog": {
+        "repo": "https://github.com/AgriciDaniel/claude-blog",
+        "commit": "49842ea",
+        "license": "MIT",
+        "skills": 1
+      },
+      "foryourhealth111-pixel/Vibe-Skills": {
+        "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
+        "commit": "34429a8",
+        "license": "Apache-2.0",
+        "skills": 5
+      },
+      "HeshamFS/materials-simulation-skills": {
+        "repo": "https://github.com/HeshamFS/materials-simulation-skills",
+        "commit": "fa1ce8d",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "hypnguyen1209/offensive-claude": {
+        "repo": "https://github.com/hypnguyen1209/offensive-claude",
+        "commit": "4d62be7",
+        "license": "MIT",
+        "skills": 1
+      },
+      "basicmachines-co/basic-memory": {
+        "repo": "https://github.com/basicmachines-co/basic-memory",
+        "commit": "53da71c",
+        "license": "custom (see upstream LICENSE)",
+        "skills": 1
+      },
+      "alirezarezvani/claude-skills": {
+        "repo": "https://github.com/alirezarezvani/claude-skills",
+        "commit": "0241f43",
+        "license": "MIT",
+        "skills": 1
+      },
+      "jabrena/plinth": {
+        "repo": "https://github.com/jabrena/plinth",
+        "commit": "065eae8",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "rohitg00/skillkit": {
+        "repo": "https://github.com/rohitg00/skillkit",
+        "commit": "d2e5c34",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "JimLiu/baoyu-design": {
+        "repo": "https://github.com/JimLiu/baoyu-design",
+        "commit": "222ccbf",
+        "license": "MIT",
+        "skills": 1
+      },
+      "zebbern/claude-code-guide": {
+        "repo": "https://github.com/zebbern/claude-code-guide",
+        "commit": "d2c5280",
+        "license": "MIT",
+        "skills": 2
+      },
+      "nexscope-ai/eCommerce-Skills": {
+        "repo": "https://github.com/nexscope-ai/eCommerce-Skills",
+        "commit": "56f3288",
+        "license": "MIT",
+        "skills": 1
+      },
+      "sanjay3290/ai-skills": {
+        "repo": "https://github.com/sanjay3290/ai-skills",
+        "commit": "3619692",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "dotnet/skills": {
+        "repo": "https://github.com/dotnet/skills",
+        "commit": "79a2ada",
+        "license": "MIT",
+        "skills": 2
+      },
+      "secondsky/claude-skills": {
+        "repo": "https://github.com/secondsky/claude-skills",
+        "commit": "c4889f6",
+        "license": "MIT",
+        "skills": 1
+      },
+      "mukul975/Anthropic-Cybersecurity-Skills": {
+        "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
+        "commit": "673da1f",
+        "license": "Apache-2.0",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 78,
+      "adjacent": 2
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 109,
+      "onet": 94,
+      "jobads": 88,
+      "wiki_ai": 0,
+      "anthropic": 5,
+      "ai_skills": 162,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 23.8,
+      "onet": 20.5,
+      "jobads": 19.2,
+      "wiki_ai": 0.0,
+      "anthropic": 1.1,
+      "ai_skills": 35.4,
+      "stackx": 0.0
+    },
+    "method": "content items per source category"
+  },
+  "collar": "white",
+  "computer_work": true
+}
--- a/references/ai-skills.md
+++ b/references/ai-skills.md
@@ -0,0 +1,330 @@
+# External AI agent skills — sensor-engineer
+
+Proven, publicly available AI agent skills mapped to this occupation.
+Nothing is copied from the sources: every entry is a name, a one-line
+summary and a link to the upstream skill package. Each section names
+its source repository, commit, license and retrieval date.
+
+**Tiers:** `core` = the skill directly exercises a top market hard
+skill, tool or method (from gated job-ad evidence) or an essential
+ESCO competence of this occupation; `adjacent` =
+plausibly useful, secondary. Entries are capped at 12 per source
+and 80 in total per occupation (core first,
+strongest matches survive); everything beyond the caps is excluded
+and logged in the pipeline audit trail, not in this package.
+
+_Matched deterministically (ISCO group + title/competence keywords,
+tiered against market evidence + ESCO essentials) by
+`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
+
+## Source: anthropics/skills
+
+- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
+- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
+| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
+
+## Source: a5c-ai/babysitter
+
+- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
+| `quantitative-methods` | core | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
+| `simulation-experiment-designer` | core | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
+| `doe-designer` | core | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
+| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
+| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
+| `translation-management` | core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
+
+## Source: AgriciDaniel/claude-ads
+
+- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ads-test` | core | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
+
+## Source: AgriciDaniel/claude-blog
+
+- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
+
+## Source: alirezarezvani/claude-skills
+
+- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `senior-data-scientist` | core | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/skills/senior-data-scientist) |
+
+## Source: basicmachines-co/basic-memory
+
+- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
+- License: custom (see upstream LICENSE)
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
+
+## Source: brycewang-stanford/Auto-Empirical-Research-Skills
+
+- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
+- License: CC-BY-4.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `deep-research-skills` | core | 13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/deep-research) |
+| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
+| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
+| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
+| `action-research-guide` | core | Design and conduct action research and participatory studies | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/action-research-guide) |
+| `aer-statspai` | core | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
+| `qualitative-research-guide` | core | Design and conduct qualitative research using grounded theory and case studies | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/qualitative-research-guide) |
+| `universal-ma-codebook` | core | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
+| `metadata-skills` | core | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
+| `physics-skills` | core | 5 physics & astrophysics skills. Trigger: physics simulations, astronomical data, computational physics. Design: domain databases (NASA ADS, arXiv) and simulation tool guides. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/physics) |
+| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
+| `game-theory-paper-writer` | core | Generate, continue, revise, polish, and stress-test game theory research papers. Use when the user provides a game theory topic, phenomenon, draft, outline, model idea, literature anchor, reviewer comments, or asks for 博弈论论文生成, 选题建模, 文献迁移, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/65-game-theory-paper-writer) |
+
+## Source: davila7/claude-code-templates
+
+- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
+| `pymoo` | core | Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pymoo) |
+| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
+| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/latex-posters) |
+| `pufferlib` | core | This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pufferlib) |
+| `cirq` | core | Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cirq) |
+| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statistical-analysis) |
+| `Ethical Hacking Methodology` | core | This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/security/ethical-hacking-methodology) |
+| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/denario) |
+| `dnanexus-integration` | core | DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/dnanexus-integration) |
+| `omero-integration` | core | Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/omero-integration) |
+| `qutip` | core | Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/qutip) |
+
+## Source: dotnet/skills
+
+- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-analysis) |
+| `mcp-csharp-test` | core | Test C# MCP servers at multiple levels: unit tests for individual tools and integration tests using the MCP client SDK. USE FOR: unit testing MCP tool methods, integration testing with in-memory MCP client/server, end-to-end testing via … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-ai/skills/mcp-csharp-test) |
+
+## Source: ferdinandobons/startup-skill
+
+- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `startup-design` | core | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
+
+## Source: foryourhealth111-pixel/Vibe-Skills
+
+- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
+| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
+| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statistical-analysis) |
+| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/denario) |
+| `property-based-testing` | core | Property-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/property-based-testing) |
+
+## Source: HeshamFS/materials-simulation-skills
+
+- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `parameter-optimization` | core | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
+
+## Source: hypnguyen1209/offensive-claude
+
+- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
+
+## Source: indranilbanerjee/digital-marketing-pro
+
+- Repository: [https://github.com/indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro) (commit `a3d119c`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ab-test-plan` | core | Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/ab-test-plan) |
+
+## Source: infrasity-labs/dev-gtm-claude-skills
+
+- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ab-testing` | core | When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/ab-testing) |
+| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
+| `presentation-deck` | core | Structure compelling design presentations for stakeholders, reviews, and showcases. | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/presentation-deck) |
+
+## Source: jabrena/plinth
+
+- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `057-design-feature-toggles` | core | Use when designing, implementing, reviewing, testing, or cleaning up feature toggles, feature flags, kill switches, runtime configuration gates, canary controls, staged rollouts, experiments, or temporary compatibility switches in Java … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/057-design-feature-toggles) |
+
+## Source: jeremylongshore/claude-code-plugins-plus-skills
+
+- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `running-chaos-tests` | core | Execute chaos engineering experiments to test system resilience. Use when performing specialized testing. Trigger with phrases like "run chaos tests", "test resilience", or "inject failures".  | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/testing/chaos-engineering-toolkit/skills/running-chaos-tests) |
+
+## Source: JimLiu/baoyu-design
+
+- Repository: [https://github.com/JimLiu/baoyu-design](https://github.com/JimLiu/baoyu-design) (commit `222ccbf`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `baoyu-design` | core | Create polished design artifacts as self-contained HTML: UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, slide decks (a.k.a. PPT / PowerPoint presentations), and visual explorations. Use … | [source](https://github.com/JimLiu/baoyu-design/tree/222ccbf/skills/baoyu-design) |
+
+## Source: K-Dense-AI/claude-scientific-skills
+
+- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
+| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
+| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/latex-posters) |
+| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/cirq) |
+| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/statistical-analysis) |
+| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/adaptyv) |
+
+## Source: K-Dense-AI/scientific-agent-skills
+
+- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
+| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
+| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/latex-posters) |
+| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/cirq) |
+| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/statistical-analysis) |
+| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/adaptyv) |
+
+## Source: mukul975/Anthropic-Cybersecurity-Skills
+
+- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `performing-web-application-penetration-test` | core | Performs systematic security testing of web applications following the OWASP Web Security Testing Guide (WSTG) methodology to identify vulnerabilities in authentication, authorization, input validation, session management, and business … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-web-application-penetration-test) |
+
+## Source: nexscope-ai/eCommerce-Skills
+
+- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `price-optimization-tool` | core | Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/price-optimization-tool) |
+
+## Source: nWave-ai/nWave
+
+- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
+| `nw-tdd-methodology` | core | Deep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policy | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-tdd-methodology) |
+
+## Source: rampstackco/claude-skills
+
+- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
+| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
+| `ads-creative-development` | core | How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/ads-creative-development) |
+
+## Source: rohitg00/skillkit
+
+- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `hypothesis-testing` | core | Applies the scientific method to debugging by helping users form specific, testable hypotheses, design targeted experiments, and systematically confirm or reject theories to find root causes. Use when a user says their code isn't working, … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/hypothesis-testing) |
+
+## Source: sanjay3290/ai-skills
+
+- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
+
+## Source: secondsky/claude-skills
+
+- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `recommendation-system` | core | Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/recommendation-system/skills/recommendation-system) |
+
+## Source: vibeeval/vibecosystem
+
+- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `experiment-loop` | core | Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable … | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/experiment-loop) |
+| `chaos-engineering` | core | Failure injection patterns, blast radius control, steady state hypothesis, and gameday planning for resilience testing. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/chaos-engineering) |
+
+## Source: zebbern/claude-code-guide
+
+- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ethical-hacking-methodology` | core | This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/ethical-hacking-methodology) |
+| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
--- a/references/berufsbild-de.md
+++ b/references/berufsbild-de.md
@@ -0,0 +1,71 @@
+# Berufsbild (Deutschland) — Ingenieur/in - Sensortechnik
+
+> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 100529,
+> KldB 2010: B 26324 · via öffentliche BERUFENET-API,
+> abgerufen 2026-07-12. Automatisches Label-Matching
+> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
+> Original: https://web.arbeitsagentur.de/berufenet/beruf/100529
+
+## Aufgaben und Tätigkeiten kompakt
+
+Ingenieure und Ingenieurinnen für Sensortechnik planen, konstruieren und implementieren Sensorsysteme. Sie programmieren die Software, die die Ergebnisse der Messungen interpretiert und testen sie im Labor oder direkt bei der Kundschaft. Für die Qualitätssicherung und -prüfung erarbeiten sie Test- und Prüfverfahren und kontrollieren die Ergebnisse mittels Simulation. Im Kundenservice führen sie Anwenderschulungen durch oder beraten Unternehmen, z.B. über Möglichkeiten, bestehende Sensorsysteme anzupassen. Arbeiten sie im Vertrieb, erstellen sie Angebote und unterbreiten sie der Kundschaft.
+
+## Tätigkeitsbezeichnungen
+
+Ingenieur/in - Sensortechnik
+
+Auch übliche Berufsbezeichnung/SynonymEntwickler/in - Sensortechnik
+
+Berufsbezeichnung in englischer SpracheSensor systems and applications engineer (m/f)
+
+## Die Tätigkeit im Überblick
+
+Ingenieure und Ingenieurinnen für Sensortechnik entwickeln Sensoren und Sensorsysteme und konstruieren Baugruppen bzw. Produkte, die mit Sensortechnik ausgestattet sind. Zudem steuern sie die Fertigung sensortechnischer Produkte und übernehmen Ingenieuraufgaben wie Qualitätssicherung und Vertrieb.
+
+## Trends
+
+Smarte HandprothesenMittlerweile sind Handprothesen am Markt, die Anwender und Anwenderinnen intuitiv in Echtzeit steuern können: Ausgerüstet sind die smarten Prothesen mit Elektroden, die feinste Muskelsignale des Unterarms aufnehmen und messen. Selbstlernende Algorithmen erkennen Muster, die charakteristisch für einzelne Handbewegungen sind, und wandeln sie in Bewegungsabläufe um. Zukünftig werden Prothesen natürliche Tasteindrücke durch elektrische Impulse ermöglichen. Fach- und Führungskräfte aus Orthopädie, Medizintechnik und Rehabilitation werden sich mit entsprechender Weiterbildung auf diese neue Technologie vorbereiten.
+Intelligente Werkstoffe (Smart Materials) mittels 4-D-DruckIntelligente Werkstoffe - zukünftig hergestellt mittels 4-D-Druckverfahren - sollen auf ihre Umgebung (Licht, Temperatur oder magnetische Felder) reagieren und so ihre Form ändern können. Flüssigkeiten werden z.B. in einem Magnetfeld fest, Kunststoffe falten sich durch Kontakt mit Feuchtigkeit zusammen, geformte Werkstücke aus Formgedächtnismetall nehmen bei einer bestimmten Temperatur wieder ihre ursprüngliche Form an. Mögliche Anwendungsgebiete sind u.a. die Automobilentwicklung, Medizin- und Textiltechnik, Architektur sowie Luft- und Raumfahrt. Fach- und Führungskräfte in den entsprechenden Bereichen werden sich mit diesen Entwicklungen vertraut machen.
+Künstliche Intelligenz (KI) in der NanotechnologieIn der Forschung werden mithilfe der Interdisziplinäre Wissenschaft, die sich grundlegend mit der Nutzung neuer Funktionen von belebter und unbelebter Materie beschäftigt; basiert auf der geometrischen Größe sowie auf den materialspezifischen Eigenheiten von Nanostrukturen; mittels Nanotechnologie können z.B. Atome und Moleküle manipuliert werden
+" name="Nanotechnologie">Nanotechnologie Materialeigenschaften von Stoffen auf molekularer Ebene verändert. englisch: Artificial Intelligence (AI)
+ Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
+" name="Künstliche Intelligenz (KI)">Künstliche Intelligenz (KI) erweitert zunehmend die Anwendungsmöglichkeiten: In der Medizin überwachen KI-Nanobots Körperzustände, in der Oberflächenbearbeitung beeinflussen KI-gesteuerte Mikroskope Moleküle gezielt auf kleinster Ebene. Führungskräfte in der Nanotechnologie erforschen aktiv, wie sie KI einsetzen, um bestehende Verfahren zu verbessern und neue Anwendunge
+
+## Aufgaben und Tätigkeiten (Beschreibung)
+
+Worum geht es?Ingenieure und Ingenieurinnen für Sensortechnik entwickeln Sensoren und Sensorsysteme und konstruieren Baugruppen bzw. Produkte, die mit Sensortechnik ausgestattet sind. Außerdem planen und überwachen sie die Fertigung von Erzeugnissen der Sensortechnik und übernehmen Ingenieuraufgaben in Bereichen wie Qualitätssicherung und Vertrieb.
+Entwicklung und KonstruktionIn der Industrie gibt es einen steigenden Bedarf an Sensoren. Ingenieure und Ingenieurinnen für Sensortechnik entwickeln Konzepte und Architekturen für komplexe Elektroniken beispielsweise von Mess- und Regelungsvorrichtungen. Sie integrieren Sensortechnik in Industrieroboter und Fahrzeugsicherungssysteme, in klimatechnische Anlagen, medizin- und labortechnische Geräte oder in biometrische Personenerkennungs- oder Qualitätssicherungssysteme. Sie erstellen und bewerten Schaltungskonzepte und entwerfen Bedieneroberflächen im Bereich Sensor- und Messtechnik. Sie übernehmen die hardwarenahe Programmierung und entwickeln Algorithmen für Bewegungssteuerungen im Bereich der Bewegungstechnik. Beispielsweise programmieren sie auch: Speicherprogrammierte Steuerung
+ Elektronische Einrichtung, über die automatische Anlagen und Maschinen programmiert und gesteuert werden können
+" name="Speicherprogrammierbare Steuerung (SPS)">SPS-Systeme. Mit Simulationen und Tests verifizieren und verfeinern sie die Konzepte.
+Die Ingenieure und Ingenieurinnen arbeiten sowohl mit internen Abteilungen als auch mit Kunden zusammen. Sie analysieren Kundenanforderungen genau und halten sie in Liste von Anforderungen an ein Produkt oder Projekt
+ Informationstechnik (IT): Darstellung der Aufgaben, Ziele, Kosten und Inhalte eines Entwicklungsprojekts
+" name="Pflichtenheft">Pflichtenheften fest. Darüber hinaus ermitteln sie auch Anforderungen an künftige Sensorelektroniken. 
+Weitere Einsatzmöglichkeiten Die Verantwortlichkeit von Ingenieuren und Ingenieurinnen für Sensortechnik kann von der Mitwirkung bei Projekten bis zur selbstständigen Planung und Durchführung umfassender Aufgaben in der Konstruktion und Produktion reichen. Bei ihrer Arbeit berücksichtigen sie die wirtschaftlichen Rahmenbedingungen wie Kosten und Zeitaufwand sowie absehbare Auswirkungen der Technik. Sie planen, organisieren und optimieren Arbeitsabläufe und Mitarbeitereinsatz, überwachen die Fertigung von Produkten der Sensortechnik, erstellen Fertigungspläne und achten darauf, dass alle Qualitätsrichtlinien eingehalten werden. Wenn sie Aufgaben in der
+
+## Aufgaben und Tätigkeiten im Einzelnen
+
+Entwicklung und KonstruktionAnforderungen an zu entwickelnde Sensorelektroniken ermitteln
+
+Konzepte und Architekturen für komplexe Elektroniken entwickeln
+
+Schaltungskonzepte erstellen und bewerten
+
+Konzepte mit Simulationen und Tests verifizieren und verfeinern
+
+ Baugruppen bzw. Produkte, die mit Sensortechnik ausgestattet sind, konstruieren
+
+BetriebsprozesseArbeitsabläufe planen, organisieren und optimieren
+
+Fertigung von Produkten der Sensortechnik überwachen
+
+Qualitätssicherungssysteme aufbauen
+
+Anwenderschulungen durchführen
+
+Kundenangebote erstellen, beraten
+
+Wissenschaftliche Forschung und Lehrean Forschungsvorhaben mitwirken
+
+Vorlesungen und Seminare vorbereiten bzw. abhalten, Unterricht nachbereiten, ggf. Prüfungen abnehmen
+
+Forschungsberichte verfassen
--- a/references/market.md
+++ b/references/market.md
@@ -0,0 +1,140 @@
+# Market evidence report — sensor-engineer
+
+Source: **45 real job ads** (JSearch API, countries: us 45), extracted into the MSSQL evidence store; as of 2026-07-19.
+This report contains extracted, aggregated facts only — no ad text is
+reproduced (copyright / platform terms).
+
+## Seniority distribution
+
+| Seniority | Ads | Share |
+|---|---|---|
+| mid | 31 | 69 % |
+| senior | 9 | 20 % |
+| junior | 2 | 4 % |
+| lead | 2 | 4 % |
+| n/a | 1 | 2 % |
+
+## Tools — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | MATLAB | 15 | 33 % |
+| 2 | Python | 11 | 24 % |
+| 3 | C++ | 4 | 9 % |
+| 4 | DOORS | 4 | 9 % |
+| 5 | SolidWorks | 3 | 7 % |
+
+## Hard skills — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | signal processing | 11 | 24 % |
+| 2 | systems engineering | 10 | 22 % |
+| 3 | data analysis | 8 | 18 % |
+| 4 | algorithm development | 7 | 16 % |
+| 5 | system integration | 6 | 13 % |
+| 6 | requirements development | 5 | 11 % |
+| 7 | calibration | 4 | 9 % |
+| 8 | data fusion | 4 | 9 % |
+| 9 | risk assessment | 4 | 9 % |
+| 10 | testing | 4 | 9 % |
+| 11 | performance modeling | 3 | 7 % |
+| 12 | sensor design | 3 | 7 % |
+| 13 | sensor integration | 3 | 7 % |
+| 14 | system testing | 3 | 7 % |
+| 15 | systems integration | 3 | 7 % |
+
+## Methods — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | digital engineering | 3 | 7 % |
+| 2 | model-based systems engineering (MBSE) | 3 | 7 % |
+
+## Responsibilities — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | proposal development | 4 | 9 % |
+| 2 | data collection | 3 | 7 % |
+| 3 | risk identification | 3 | 7 % |
+| 4 | system integration | 3 | 7 % |
+| 5 | system testing | 3 | 7 % |
+| 6 | technical leadership | 3 | 7 % |
+
+## Regional breakdown
+
+> **Corpus note:** 45 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
+
+### US (us)
+
+45 ads.
+
+**Top hard skills:**
+
+- signal processing — 24 % (11 ads)
+- systems engineering — 22 % (10 ads)
+- data analysis — 18 % (8 ads)
+- algorithm development — 16 % (7 ads)
+- system integration — 13 % (6 ads)
+- requirements development — 11 % (5 ads)
+- calibration — 9 % (4 ads)
+- data fusion — 9 % (4 ads)
+- risk assessment — 9 % (4 ads)
+- testing — 9 % (4 ads)
+
+**Top tools:**
+
+- MATLAB — 33 % (15 ads)
+- Python — 24 % (11 ads)
+- C++ — 9 % (4 ads)
+- DOORS — 9 % (4 ads)
+- SolidWorks — 7 % (3 ads)
+- Cameo/MagicDraw — 4 % (2 ads)
+- Confluence — 4 % (2 ads)
+- Jira — 4 % (2 ads)
+- LabView — 4 % (2 ads)
+- Microsoft Office — 4 % (2 ads)
+
+**Seniority:** mid 69 % · senior 20 % · junior 4 % · lead 4 % · n/a 2 %
+
+### UK (gb)
+
+**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
+
+### EU/DACH (de, at, ch, nl)
+
+**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
+
+
+## Job title variants in the market
+
+| Title | Ads |
+|---|---|
+| High Band Sensor Support Engineer (Onsite) | 2 |
+| Journeyman Engineer (Acoustics & Sensor) | 2 |
+| Acoustics & Sensor Mission Systems Engineer | 1 |
+| Autonomy Sensor Fusion Engineer | 1 |
+| Electrical Engineer II: ISR Sensor Systems & UAV Integration | 1 |
+| Engineer, Sensors | 1 |
+| Gas Sensor Engineer at EPA (Part-time) | 1 |
+| Hardware Engineer I - Sensors | 1 |
+| Image Processing / Sensor Engineer | 1 |
+| Infrared Sensor & Detector Design Engineer for Spaceflight | 1 |
+| Infrared Sensor Design Engineer for Spaceflight Instruments | 1 |
+| Intermediate Sensor Engineer | 1 |
+| Lead Radar & RF Sensor Systems Engineer, Autonomy | 1 |
+| Lead Underwater Sensor Engineer | 1 |
+| Motion Sensing Inertial Sensors Engineer - MEMS Sensor Architect | 1 |
+| On-Site Sensor Systems Engineer & Technical Support | 1 |
+| Optical Sensors Researcher | 1 |
+| Principal Radar and Radio Frequency Sensors Engineer | 1 |
+| R&D Electrical Engineer - Instrument Transformers & Sensors | 1 |
+| R&D Electrical Engineer – Instrument Transformers & Sensors | 1 |
+| Radar Systems Engineer Field Next-Gen Naval Sensors | 1 |
+| Radar, EW and Sensors Engineering Opportunities | 1 |
+| RF Sensor Systems Engineer: Signal Processing | 1 |
+| Senior Electronics Design Engineer-High-Temp Sensors | 1 |
+| Senior Sensor Electronics Engineer | 1 |
+
+Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.
--- a/references/profile.md
+++ b/references/profile.md
@@ -0,0 +1,42 @@
+# Occupation profile — sensor engineer
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/4f4d33a1-0b41-4dd9-8a42-aeba5a3974ab
+- **ESCO code:** 2152.1.15
+- **ISCO-08 group:** 2152 — Electronics engineers
+- **O*NET-SOC:** 17-2072.01 — Radio Frequency Identification Device Specialists (match: closeMatch)
+
+## Description (ESCO)
+
+Sensor engineers design and develop sensors, sensor systems and products that are equipped with sensors. They plan and monitor the manufacture of these products.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- sensor technology engineering specialist
+- electronic sensor engineer
+- sensor engineering expert
+- sensor design engineer
+- sensors engineer
+- sensor designer
+- sensor technology engineer
+- sensor engineering specialist
+- engineer in sensor technology
+- sensor engineering consultant
+- sensor technology engineering expert
+- sensor systems engineer
+- engineer of sensors
+- sensor and actuator engineer
+- sensor engineers
+- sensor engineering adviser
+- sensor developer
+- sensor development engineer
+- actuator and sensor engineer
+- specialist sensor engineer
+- electronics sensor engineer
+- sensor technology engineering adviser
+- engineer of sensors and actuators
+- sensor technology engineering consultant
+- engineer specialised in sensor technology
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,130 @@
+# Competences — sensor engineer
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/4f4d33a1-0b41-4dd9-8a42-aeba5a3974ab).
+
+## Essential
+
+- **abide by regulations on banned materials** (skill/competence)
+- **adjust engineering designs** (skill/competence)
+- **analyse test data** (skill/competence)
+- **approve engineering design** (skill/competence)
+- **computer simulation** (knowledge)
+- **conduct literature research** (skill/competence)
+- **conduct quality control analysis** (skill/competence)
+- **control engineering** (knowledge)
+- **demonstrate disciplinary expertise** (skill/competence)
+- **design drawings** (knowledge)
+- **design prototypes** (skill/competence)
+- **design sensors** (skill/competence)
+- **develop electronic test procedures** (skill/competence)
+- **digital twin technology** (knowledge)
+- **electricity** (knowledge)
+- **electricity principles** (knowledge)
+- **electronic equipment standards** (knowledge)
+- **electronic test procedures** (knowledge)
+- **electronics** (knowledge)
+- **engineering principles** (knowledge)
+- **environmental legislation** (knowledge)
+- **environmental threats** (knowledge)
+- **interact professionally in research and professional environments** (skill/competence)
+- **manage personal professional development** (skill/competence)
+- **manage research data** (skill/competence)
+- **mathematics** (knowledge)
+- **microsensors** (knowledge)
+- **model sensor** (skill/competence)
+- **operate open source software** (skill/competence)
+- **operate scientific measuring equipment** (skill/competence)
+- **perform data analysis** (skill/competence)
+- **perform project management** (skill/competence)
+- **physics** (knowledge)
+- **prepare production prototypes** (skill/competence)
+- **read engineering drawings** (skill/competence)
+- **record test data** (skill/competence)
+- **report analysis results** (skill/competence)
+- **sensors** (knowledge)
+- **synthesise information** (skill/competence)
+- **test sensors** (skill/competence)
+- **think abstractly** (skill/competence)
+- **use technical drawing software** (skill/competence)
+
+## Optional
+
+- apply blended learning (skill/competence)
+- apply for research funding (skill/competence)
+- apply research ethics and scientific integrity principles in research activities (skill/competence)
+- apply technical communication skills (skill/competence)
+- automation technology (knowledge)
+- automotive engineering (skill/competence)
+- biomedical engineering (knowledge)
+- biotechnology (knowledge)
+- build business relationships (skill/competence)
+- building automation (knowledge)
+- CAE software (knowledge)
+- communicate with a non-scientific audience (skill/competence)
+- communicate with customers (skill/competence)
+- computer engineering (knowledge)
+- conduct research across disciplines (skill/competence)
+- consumer electronics (knowledge)
+- coordinate engineering teams (skill/competence)
+- create technical plans (skill/competence)
+- define manufacturing quality criteria (skill/competence)
+- design firmware (skill/competence)
+- develop product design (skill/competence)
+- develop professional network with researchers and scientists (skill/competence)
+- digital camera sensors (knowledge)
+- disseminate results to the scientific community (skill/competence)
+- draft bill of materials (skill/competence)
+- draft scientific or academic papers and technical documentation (skill/competence)
+- electrical engineering (knowledge)
+- environmental engineering (knowledge)
+- evaluate research activities (skill/competence)
+- firmware (knowledge)
+- holography (knowledge)
+- hybrid control systems (knowledge)
+- increase the impact of science on policy and society (skill/competence)
+- industrial research and development (knowledge)
+- integrate gender dimension in research (skill/competence)
+- maintain safe engineering watches (skill/competence)
+- manage findable accessible interoperable and reusable data (skill/competence)
+- manage intellectual property rights (skill/competence)
+- manage open publications (skill/competence)
+- mathematical modelling (knowledge)
+- mechanical engineering (knowledge)
+- mentor individuals (skill/competence)
+- microelectromechanical systems (knowledge)
+- microelectronics (knowledge)
+- microprocessors (knowledge)
+- MOEM (knowledge)
+- optics (knowledge)
+- optoelectronics (knowledge)
+- perform resource planning (skill/competence)
+- perform scientific research (skill/competence)
+- perform test run (skill/competence)
+- precision mechanics (knowledge)
+- prepare assembly drawings (skill/competence)
+- promote open innovation in research (skill/competence)
+- promote the participation of citizens in scientific and research activities (skill/competence)
+- promote the transfer of knowledge (skill/competence)
+- publish academic research (skill/competence)
+- quantum computing (knowledge)
+- safety engineering (knowledge)
+- speak different languages (skill/competence)
+- teach in academic or vocational contexts (skill/competence)
+- train employees (skill/competence)
+- use CAD software (skill/competence)
+- use CAM software (skill/competence)
+- use precision tools (skill/competence)
+- write scientific publications (skill/competence)
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 45 ads, as of 2026-07-19)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Hard skills
+
+- signal processing — **24 %**
+- systems engineering — **22 %**
+
+<!-- market-evidence -->
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,50 @@
+# Tasks & work activities — sensor engineer
+
+Source: O*NET 30.3, occupation 17-2072.01 (Radio Frequency Identification Device Specialists).
+
+## Task statements
+
+- **[Core]** Verify compliance of developed applications with architectural standards and established practices.
+- **[Core]** Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies.
+- **[Core]** Provide technical support for radio frequency identification device (RFID) technology.
+- **[Core]** Perform systems analysis or programming of radio frequency identification device (RFID) technology.
+- **[Core]** Document equipment or process details of radio frequency identification device (RFID) technology.
+- **[Core]** Train users in details of system operation.
+- **[Core]** Analyze radio frequency identification device (RFID)-related supply chain data.
+- **[Core]** Test tags or labels to ensure readability.
+- **[Core]** Test radio frequency identification device (RFID) software to ensure proper functioning.
+- **[Core]** Select appropriate radio frequency identification device (RFID) tags and determine placement locations.
+- **[Core]** Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation.
+- **[Core]** Perform acceptance testing on newly installed or updated systems.
+- **[Core]** Identify operational requirements for new systems to inform selection of technological solutions.
+- **[Core]** Determine usefulness of new radio frequency identification device (RFID) technologies.
+- **[Core]** Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems.
+- **[Core]** Determine means of integrating radio frequency identification device (RFID) into other applications.
+- **[Core]** Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects.
+- **[Core]** Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration.
+- **[Core]** Install, test, or maintain radio frequency identification device (RFID) systems.
+- **[Core]** Integrate tags, readers, or software in radio frequency identification device (RFID) designs.
+- **[Core]** Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology.
+
+## Detailed work activities
+
+- Advise customers on the use of products or services.
+- Analyze design requirements for computer or electronics systems.
+- Analyze operational data to evaluate operations, processes or products.
+- Assess product or process usefulness.
+- Collect data about project sites.
+- Conduct validation tests of equipment or processes.
+- Create schematic drawings for electronics.
+- Design electronic or computer equipment or instrumentation.
+- Determine operational methods.
+- Develop software or computer applications.
+- Develop technical methods or processes.
+- Document technical design details.
+- Estimate technical or resource requirements for development or production projects.
+- Inspect equipment or systems.
+- Install instrumentation or electronic equipment or systems.
+- Maintain electronic equipment.
+- Select project materials.
+- Test performance of electrical, electronic, mechanical, or integrated systems or equipment.
+- Train personnel on proper operational procedures.
+- Update technical knowledge.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,71 @@
+# Tools & technology — sensor engineer
+
+Source: O*NET 30.3 'Software Skills' for 17-2072.01.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| The MathWorks MATLAB | Analytical or scientific software | yes |
+| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
+| Microsoft SQL Server | Data base user interface and query software | yes |
+| Structured query language SQL | Data base user interface and query software | yes |
+| C | Development environment software | yes |
+| Microsoft Visual Basic | Development environment software | yes |
+| Microsoft Visual Studio | Development environment software | yes |
+| Ruby | Development environment software | yes |
+| Extensible markup language XML | Enterprise application integration software | yes |
+| SAP software | Enterprise resource planning ERP software | yes |
+| ESRI ArcGIS software | Geographic information system | yes |
+| C# | Object or component oriented development software | yes |
+| C++ | Object or component oriented development software | yes |
+| Oracle Java | Object or component oriented development software | yes |
+| Perl | Object or component oriented development software | yes |
+| Python | Object or component oriented development software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Linux | Operating system software | yes |
+| UNIX | Operating system software | yes |
+| Microsoft PowerPoint | Presentation software | yes |
+| Microsoft Visio | Process mapping and design software | yes |
+| JUnit | Program testing software | yes |
+| Selenium | Program testing software | yes |
+| Microsoft Project | Project management software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| Dynamic host configuration protocol DHCP | Administration software |  |
+| Simple network management protocol SNMP software | Administration software |  |
+| ANSYS simulation software | Analytical or scientific software |  |
+| Field programmable gate array FPGA design software | Computer aided design CAD software |  |
+| Microsoft SQL Server Compact | Data base management system software |  |
+| Microsoft Visual Basic Scripting Edition VBScript | Development environment software |  |
+| National Instruments LabVIEW | Development environment software |  |
+| Verilog | Development environment software |  |
+| Device driver software | Device drivers or system software |  |
+| IBM Notes | Electronic mail software |  |
+| Web browser software | Internet browser software |  |
+| MapInfo Professional | Map creation software |  |
+| Forsk Atoll | Network monitoring software |  |
+| Microsoft Visual Basic.NET | Object or component oriented development software |  |
+| Microsoft Visual Basic.NET Compact Framework CF | Object or component oriented development software |  |
+| Cygwin | Operating system software |  |
+| Magellan Firmware | Operating system software |  |
+| Microsoft Windows Mobile | Operating system software |  |
+| Abbott | Program testing software |  |
+| CppUnit | Program testing software |  |
+| FitNesse | Program testing software |  |
+| Framework for integrated test FIT | Program testing software |  |
+| NUnit | Program testing software |  |
+| Robot Framework | Program testing software |  |
+| Watir | Program testing software |  |
+| Unified modeling language UML | Requirements analysis and system architecture software |  |
+| Wide area network WAN software | WAN switching software and firmware |  |
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 45 ads, as of 2026-07-19)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Tools
+
+- MATLAB — **33 %**
+- Python — **24 %**
+
+<!-- market-evidence -->