feat: predictive-maintenance-expert skill package v0.1.0

2026-08-14 16:59:29 +02:00
commit c01243abd1
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--- a/PROVENANCE.md
+++ b/PROVENANCE.md
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+# Data provenance — predictive-maintenance-expert
+
+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 — predictive-maintenance-expert
+    "ESCO (occupation & competences)" : 26
+    "O*NET (tasks & tools)" : 96
+    "Job boards (market evidence)" : 95
+    "Anthropic official Claude skills" : 5
+    "External AI skill packs (mapped)" : 153
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 26 | 6.9 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 96 | 25.6 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 95 | 25.3 % | 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 | 1.3 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 153 | 40.8 % | 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 +1,71 @@
+---
+name: predictive-maintenance-expert
+description: "Occupational skill for the role 'predictive maintenance expert' (also: predictive maintenance engineer, machineries predictive maintenance expert, factories predictive maintenance expert, railroads predictive maintenance expert, cars predictive maintenance expert, expert in predictive maintenance). Use when the user asks for typical predictive maintenance expert work such as: typical predictive maintenance expert responsibilities"
+---
+
+# Predictive Maintenance Expert
+
+Predictive maintenance experts analyse data collected from sensors located in factories, machineries, cars, railroads and others to monitor their conditions in order to keep users informed and eventually notify the need to perform maintenance.
+
+## Core workflow
+
+
+## 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)
+
+- advise on equipment maintenance
+- analyse big data
+- apply information security policies
+- apply statistical analysis techniques
+- computer programming
+- design sensors
+- develop data processing applications
+- electrical engineering
+- electricity
+- electronics
+- ensure equipment maintenance
+- gather data
+- ICT networking hardware
+- manage data
+- mathematics
+
+## Hot technologies
+
+- Apache Subversion SVN
+- Autodesk AutoCAD
+- C
+- C++
+- Dassault Systemes SolidWorks
+- ESRI ArcGIS software
+- Extensible markup language XML
+- Linux
+- Microsoft Excel
+- Microsoft Office software
+
+
+<!-- hot-tech -->
+
+## Hot technologies
+
+Top tools from 39 gated job ads (see references/market.md, as of 2026-07-18):
+
+- diagnostic hardware — 13 %
+- diagnostic software — 13 %
+- oil analysis — 13 %
+- thermography — 13 %
+- ultrasound — 13 %
+- CMMS — 8 %
+- Microsoft Office — 8 %
+- Python — 8 %
+
+<!-- hot-tech -->
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/8edd8bff-cb59-4c9c-ab0f-59e77d18be48), O*NET 30.3 (17-2072.00, manual nearest match). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,226 @@
+{
+  "name": "predictive-maintenance-expert",
+  "title": "predictive maintenance expert",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/8edd8bff-cb59-4c9c-ab0f-59e77d18be48",
+    "esco_code": "2152.1.13",
+    "isco_group": "2152",
+    "onet_soc": "17-2072.00",
+    "crosswalk_match": "manual nearest via ISCO 2152 (Electronics Engineers, Except Computer)"
+  },
+  "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": 0,
+    "dwas": 0,
+    "skills_essential": 20,
+    "skills_optional": 5,
+    "software": 0
+  },
+  "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
+      },
+      "mukul975/Anthropic-Cybersecurity-Skills": {
+        "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
+        "commit": "673da1f",
+        "license": "Apache-2.0",
+        "skills": 4
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 3
+      },
+      "rohitg00/skillkit": {
+        "repo": "https://github.com/rohitg00/skillkit",
+        "commit": "d2e5c34",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 11
+      },
+      "AgriciDaniel/claude-ads": {
+        "repo": "https://github.com/AgriciDaniel/claude-ads",
+        "commit": "669c760",
+        "license": "MIT",
+        "skills": 1
+      },
+      "rampstackco/claude-skills": {
+        "repo": "https://github.com/rampstackco/claude-skills",
+        "commit": "bc6d961",
+        "license": "MIT",
+        "skills": 3
+      },
+      "foryourhealth111-pixel/Vibe-Skills": {
+        "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
+        "commit": "34429a8",
+        "license": "Apache-2.0",
+        "skills": 6
+      },
+      "hypnguyen1209/offensive-claude": {
+        "repo": "https://github.com/hypnguyen1209/offensive-claude",
+        "commit": "4d62be7",
+        "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-seo": {
+        "repo": "https://github.com/AgriciDaniel/claude-seo",
+        "commit": "6cf1ea9",
+        "license": "MIT",
+        "skills": 1
+      },
+      "AgriciDaniel/claude-blog": {
+        "repo": "https://github.com/AgriciDaniel/claude-blog",
+        "commit": "49842ea",
+        "license": "MIT",
+        "skills": 2
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 12
+      },
+      "brycewang-stanford/Auto-Empirical-Research-Skills": {
+        "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
+        "commit": "85bf545",
+        "license": "CC-BY-4.0",
+        "skills": 6
+      },
+      "nWave-ai/nWave": {
+        "repo": "https://github.com/nWave-ai/nWave",
+        "commit": "1d0f13c",
+        "license": "MIT",
+        "skills": 1
+      },
+      "glittercowboy/taches-cc-resources": {
+        "repo": "https://github.com/glittercowboy/taches-cc-resources",
+        "commit": "1757615",
+        "license": "MIT",
+        "skills": 1
+      },
+      "K-Dense-AI/claude-scientific-skills": {
+        "repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 4
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 3
+      },
+      "basicmachines-co/basic-memory": {
+        "repo": "https://github.com/basicmachines-co/basic-memory",
+        "commit": "53da71c",
+        "license": "custom (see upstream LICENSE)",
+        "skills": 1
+      },
+      "HeshamFS/materials-simulation-skills": {
+        "repo": "https://github.com/HeshamFS/materials-simulation-skills",
+        "commit": "fa1ce8d",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "nexscope-ai/eCommerce-Skills": {
+        "repo": "https://github.com/nexscope-ai/eCommerce-Skills",
+        "commit": "56f3288",
+        "license": "MIT",
+        "skills": 1
+      },
+      "ferdinandobons/startup-skill": {
+        "repo": "https://github.com/ferdinandobons/startup-skill",
+        "commit": "a5f97c3",
+        "license": "MIT",
+        "skills": 1
+      },
+      "OpenSenseNova/SenseNova-Skills": {
+        "repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
+        "commit": "d8bb438",
+        "license": "MIT",
+        "skills": 8
+      },
+      "ahacker-1/cre-agent-skills": {
+        "repo": "https://github.com/ahacker-1/cre-agent-skills",
+        "commit": "618734e",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "ljagiello/ctf-skills": {
+        "repo": "https://github.com/ljagiello/ctf-skills",
+        "commit": "d19f35f",
+        "license": "MIT",
+        "skills": 1
+      },
+      "dotnet/skills": {
+        "repo": "https://github.com/dotnet/skills",
+        "commit": "79a2ada",
+        "license": "MIT",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 78,
+      "adjacent": 2
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 26,
+      "onet": 96,
+      "jobads": 95,
+      "wiki_ai": 0,
+      "anthropic": 5,
+      "ai_skills": 153,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 6.9,
+      "onet": 25.6,
+      "jobads": 25.3,
+      "wiki_ai": 0.0,
+      "anthropic": 1.3,
+      "ai_skills": 40.8,
+      "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 +1,306 @@
+# External AI agent skills — predictive-maintenance-expert
+
+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 |
+|---|---|---|---|
+| `root-cause-analyzer` | core | Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/root-cause-analyzer) |
+| `failure-analysis` | core | Systematic failure analysis methodology for mechanical component failures | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/mechanical-engineering/skills/failure-analysis) |
+| `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) |
+| `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) |
+| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
+| `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) |
+| `unified-memory` | core | Expert skill for CUDA Unified Memory and memory prefetching optimization. Configure managed memory allocations, implement memory prefetch strategies, handle page fault analysis, configure memory hints and advise, profile unified memory … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/unified-memory) |
+| `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) |
+| `memory-analysis` | core | Embedded memory analysis, optimization, and leak detection | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/memory-analysis) |
+| `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) |
+
+## 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-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-audit) |
+| `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: AgriciDaniel/claude-seo
+
+- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-local) |
+
+## Source: ahacker-1/cre-agent-skills
+
+- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `cre-office` | core | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `results-analysis` | core | This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/results-analysis) |
+| `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) |
+
+## 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) |
+| `pyopenms` | core | Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pyopenms) |
+| `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) |
+| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
+| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/exploratory-data-analysis) |
+| `gtars` | core | High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/gtars) |
+| `scvi-tools` | core | This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scvi-tools) |
+| `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) |
+| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statsmodels) |
+| `anndata` | core | This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/anndata) |
+| `bioservices` | core | Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/bioservices) |
+| `brenda-database` | core | Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/brenda-database) |
+
+## 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) |
+
+## 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) |
+| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
+| `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) |
+| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statsmodels) |
+| `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) |
+
+## Source: glittercowboy/taches-cc-resources
+
+- Repository: [https://github.com/glittercowboy/taches-cc-resources](https://github.com/glittercowboy/taches-cc-resources) (commit `1757615`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `debug-like-expert` | core | Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic … | [source](https://github.com/glittercowboy/taches-cc-resources/tree/1757615/skills/debug-like-expert) |
+
+## 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: 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 |
+|---|---|---|---|
+| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-local) |
+| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-audit) |
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `excel-variance-analyzer` | core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
+| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''.  | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
+| `assemblyai-core-workflow-a` | core | Execute AssemblyAI primary workflow: async transcription with audio intelligence. Use when transcribing audio/video files, enabling speaker diarization, sentiment analysis, entity detection, PII redaction, or content moderation. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/assemblyai-pack/skills/assemblyai-core-workflow-a) |
+
+## 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 |
+|---|---|---|---|
+| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
+| `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) |
+| `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) |
+| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geomaster) |
+
+## 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 |
+|---|---|---|---|
+| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
+| `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) |
+| `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) |
+
+## Source: ljagiello/ctf-skills
+
+- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
+
+## 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 |
+|---|---|---|---|
+| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
+| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
+| `performing-endpoint-forensics-investigation` | core | Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-endpoint-forensics-investigation) |
+| `analyzing-linux-kernel-rootkits` | core | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
+
+## 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) |
+
+## Source: OpenSenseNova/SenseNova-Skills
+
+- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `category-filtering-and-difficulty-analysis` | core | 对Excel数据进行自定义分类统计、交叉分析与可视化，并基于多维度指标（如文本长度、术语密度、正则匹配等）进行综合评分与分级，适用于多类别数据分布统计及文本内容难度/质量评估场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering) |
+| `dynamic-large-file-parquet-analysis` | core | 动态统计Excel总行数，当数据量过大（≥10000行）时自动转换为Parquet格式加速读取，并对指定目标列进行条件筛选、分类汇总与结果导出，适用于超大体积Excel文件的快速读取与统计分析。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling) |
+| `dynamic-percentage-and-large-file-analysis` | core | 根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-statistics/percentage-calculation) |
+| `excel-data-analysis-and-report-generation` | core | 从Excel提取多类型数据，并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
+| `excel-multi-sheet-dynamic-analysis` | core | 用于分析包含多个Sheet的Excel文件，动态判断数据量级以决定是否转换为Parquet进行大文件处理，并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化，最终生成带下载链接的汇总报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/specific-sheet-reading) |
+| `excel-multi-sheet-threshold-analysis` | core | 统计多Sheet Excel总行数并根据规模选择处理策略，提取特定维度信息进行去重统计，并生成摘要与明细报表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal) |
+| `excel-smart-analysis-and-cleaning` | core | 对多 Sheet Excel 进行智能清洗、跨表核对与可视化分析。。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/missing-value-handling) |
+| `excel-threshold-analysis-and-styling` | core | 根据 Excel 数据量级自动判断处理策略，执行数值列清洗、条件过滤，并使用 openpyxl 对符合条件的单元格进行样式标记与导出。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/threshold-filtering) |
+
+## 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) |
+| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `root-cause-analysis` | core | Performs systematic root cause analysis to identify the true source of bugs, errors, and unexpected behavior through structured investigation phases — not just treating symptoms. Use when a user reports a bug, crash, error, or broken … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/root-cause-analysis) |
--- a/references/market.md
+++ b/references/market.md
@@ -0,0 +1,144 @@
+# Market evidence report — predictive-maintenance-expert
+
+Source: **39 real job ads** (JSearch API, countries: us 39), extracted into the MSSQL evidence store; as of 2026-07-18.
+This report contains extracted, aggregated facts only — no ad text is
+reproduced (copyright / platform terms).
+
+## Seniority distribution
+
+| Seniority | Ads | Share |
+|---|---|---|
+| mid | 31 | 79 % |
+| senior | 5 | 13 % |
+| junior | 3 | 8 % |
+
+## Tools — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | diagnostic hardware | 5 | 13 % |
+| 2 | diagnostic software | 5 | 13 % |
+| 3 | oil analysis | 5 | 13 % |
+| 4 | thermography | 5 | 13 % |
+| 5 | ultrasound | 5 | 13 % |
+| 6 | CMMS | 3 | 8 % |
+| 7 | Microsoft Office | 3 | 8 % |
+| 8 | Python | 3 | 8 % |
+
+## Hard skills — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | data analysis | 21 | 54 % |
+| 2 | predictive maintenance | 17 | 44 % |
+| 3 | vibration analysis | 14 | 36 % |
+| 4 | root cause analysis | 7 | 18 % |
+| 5 | fault detection | 6 | 15 % |
+| 6 | data collection | 5 | 13 % |
+| 7 | mechanical diagnostics | 5 | 13 % |
+| 8 | preventive maintenance | 5 | 13 % |
+| 9 | reliability engineering | 4 | 10 % |
+| 10 | equipment reliability | 3 | 8 % |
+| 11 | equipment troubleshooting | 3 | 8 % |
+| 12 | prognostics | 3 | 8 % |
+| 13 | root cause failure analysis | 3 | 8 % |
+| 14 | thermography | 3 | 8 % |
+
+## Methods — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | condition monitoring | 11 | 28 % |
+| 2 | predictive maintenance | 9 | 23 % |
+| 3 | vibration data collection | 3 | 8 % |
+
+## Responsibilities — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | data analysis | 12 | 31 % |
+| 2 | equipment inspection | 5 | 13 % |
+| 3 | technical recommendation provision | 5 | 13 % |
+| 4 | vibration measurement | 5 | 13 % |
+| 5 | data collection | 4 | 10 % |
+| 6 | program development | 3 | 8 % |
+| 7 | report preparation | 3 | 8 % |
+| 8 | technical support | 3 | 8 % |
+| 9 | training facilitation | 3 | 8 % |
+
+## Regional breakdown
+
+> **Corpus note:** 39 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
+
+### US (us)
+
+39 ads.
+
+**Top hard skills:**
+
+- data analysis — 54 % (21 ads)
+- predictive maintenance — 44 % (17 ads)
+- vibration analysis — 36 % (14 ads)
+- root cause analysis — 18 % (7 ads)
+- fault detection — 15 % (6 ads)
+- data collection — 13 % (5 ads)
+- mechanical diagnostics — 13 % (5 ads)
+- preventive maintenance — 13 % (5 ads)
+- reliability engineering — 10 % (4 ads)
+- equipment reliability — 8 % (3 ads)
+
+**Top tools:**
+
+- diagnostic hardware — 13 % (5 ads)
+- diagnostic software — 13 % (5 ads)
+- oil analysis — 13 % (5 ads)
+- thermography — 13 % (5 ads)
+- ultrasound — 13 % (5 ads)
+- CMMS — 8 % (3 ads)
+- Microsoft Office — 8 % (3 ads)
+- Python — 8 % (3 ads)
+- Bently Nevada ADRE — 5 % (2 ads)
+- Bently Nevada System 1 — 5 % (2 ads)
+
+**Seniority:** mid 79 % · senior 13 % · junior 8 %
+
+### 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 |
+|---|---|
+| Predictive Maintenance Specialist | 4 |
+| Predictive Maintenance Analyst | 2 |
+| Predictive Maintenance Technician | 2 |
+| Condition Based Maintenance/Predictive Maintenance Specialist | 1 |
+| Cortez - Underground Predictive Maintenance (PdM) Technician (General Services) | 1 |
+| Data-Driven Predictive Maintenance Specialist | 1 |
+| Maintenance Engineer - Predictive & TPM Specialist | 1 |
+| Maintenance Engineer Predictive & Preventive Maintenance | 1 |
+| On-Site Vibration Analyst | Predictive Maintenance Expert | 1 |
+| PHM Engineer – Predictive Maintenance & Health Monitoring (210969) | 1 |
+| PHM Engineer: Predictive Maintenance for Mobility | 1 |
+| Predictive Maintenance (PdM) Reliability Engineer | 1 |
+| Predictive Maintenance (PdM) Technology Coordinator (Engineering Technologist 3/4) | 1 |
+| Predictive Maintenance Analyst Cedar Rapids IA | 1 |
+| Predictive Maintenance Analyst Champaing IL | 1 |
+| Predictive Maintenance Analyst Mid-West | 1 |
+| Predictive Maintenance Engineer | 1 |
+| Predictive Maintenance Engineer – Entry Level | 1 |
+| Predictive Maintenance Engineer Facilities | 1 |
+| Predictive Maintenance Specialist - Power Technical SME | 1 |
+| Reliability Engineer II: CBM & Predictive Maintenance | 1 |
+| Reliability Engineer: Downtime Reduction & Predictive Maintenance | 1 |
+| Reliability Engineer: Predictive Maintenance | 1 |
+| Reliability Engineer: Predictive Maintenance & RCA Lead | 1 |
+| Reliability Engineer: Predictive Maintenance & Root-Cause Analysis | 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 +1,22 @@
+# Occupation profile — predictive maintenance expert
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/8edd8bff-cb59-4c9c-ab0f-59e77d18be48
+- **ESCO code:** 2152.1.13
+- **ISCO-08 group:** 2152 — Electronics engineers
+
+## Description (ESCO)
+
+Predictive maintenance experts analyse data collected from sensors located in factories, machineries, cars, railroads and others to monitor their conditions in order to keep users informed and eventually notify the need to perform maintenance.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- predictive maintenance engineer
+- machineries predictive maintenance expert
+- factories predictive maintenance expert
+- railroads predictive maintenance expert
+- cars predictive maintenance expert
+- expert in predictive maintenance
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,58 @@
+# Competences — predictive maintenance expert
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/8edd8bff-cb59-4c9c-ab0f-59e77d18be48).
+
+## Essential
+
+- **advise on equipment maintenance** (skill/competence)
+- **analyse big data** (skill/competence)
+- **apply information security policies** (skill/competence)
+- **apply statistical analysis techniques** (skill/competence)
+- **computer programming** (knowledge)
+- **design sensors** (skill/competence)
+- **develop data processing applications** (skill/competence)
+- **electrical engineering** (knowledge)
+- **electricity** (knowledge)
+- **electronics** (knowledge)
+- **ensure equipment maintenance** (skill/competence)
+- **gather data** (skill/competence)
+- **ICT networking hardware** (knowledge)
+- **manage data** (skill/competence)
+- **mathematics** (knowledge)
+- **model sensor** (skill/competence)
+- **perform data analysis** (skill/competence)
+- **predictive maintenance** (knowledge)
+- **statistics** (knowledge)
+- **test sensors** (skill/competence)
+
+## Optional
+
+- automotive diagnostic equipment (knowledge)
+- automotive engineering (skill/competence)
+- computer simulation (knowledge)
+- deliver visual presentation of data (skill/competence)
+- use automotive diagnostic equipment (skill/competence)
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 39 ads, as of 2026-07-18)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Hard skills
+
+- data analysis — **54 %**
+- predictive maintenance — **44 %**
+- vibration analysis — **36 %**
+- root cause analysis — **18 %**
+
+### Methods
+
+- condition monitoring — **28 %**
+- predictive maintenance — **23 %**
+
+### Responsibilities
+
+- data analysis — **31 %**
+
+<!-- market-evidence -->
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,52 @@
+# Tasks & work activities — predictive maintenance expert
+
+Source: O*NET 30.3, occupation 17-2072.00 (Electronics Engineers, Except Computer) — manual nearest-occupation mapping via ISCO group 2152; the official ESCO crosswalk has no entry for this ESCO occupation.
+
+## Task statements
+
+- **[Supplemental]** Investigate green consumer electronics applications for consumer electronic devices, power saving devices for computers or televisions, or energy efficient power chargers.
+- **[Supplemental]** Research or develop new green electronics technologies, such as lighting, optical data storage devices, or energy efficient televisions.
+- **[Core]** Determine project material or equipment needs.
+- **[Core]** Evaluate project work to ensure effectiveness, technical adequacy, or compatibility in the resolution of complex electronics engineering problems.
+- **[Core]** Analyze electronics system requirements, capacity, cost, or customer needs to determine project feasibility.
+- **[Core]** Confer with engineers, customers, vendors, or others to discuss existing or potential electronics engineering projects or products.
+- **[Core]** Operate computer-assisted engineering or design software or equipment to perform electronics engineering tasks.
+- **[Core]** Recommend repair or design modifications of electronics components or systems, based on factors such as environment, service, cost, or system capabilities.
+- **[Core]** Provide technical support or instruction to staff or customers regarding electronics equipment standards.
+- **[Supplemental]** Prepare budget or cost estimates for equipment, construction, or installation projects or control expenditures.
+- **[Core]** Design electronic components, software, products, or systems for commercial, industrial, medical, military, or scientific applications.
+- **[Core]** Inspect electronic equipment, instruments, products, or systems to ensure conformance to specifications, safety standards, or applicable codes or regulations.
+- **[Core]** Prepare documentation containing information such as confidential descriptions or specifications of proprietary hardware or software, product development or introduction schedules, product costs, or information about product performance weaknesses.
+- **[Core]** Direct or coordinate activities concerned with manufacture, construction, installation, maintenance, operation, or modification of electronic equipment, products, or systems.
+- **[Core]** Develop or perform operational, maintenance, or testing procedures for electronic products, components, equipment, or systems.
+- **[Supplemental]** Plan or develop applications or modifications for electronic properties used in components, products, or systems to improve technical performance.
+- **[Supplemental]** Prepare engineering sketches or specifications for construction, relocation, or installation of equipment, facilities, products, or systems.
+- **[Core]** Prepare, review, or maintain maintenance schedules, design documentation, or operational reports or charts.
+- **[Supplemental]** Prepare necessary criteria, procedures, reports, or plans for successful conduct of the project with consideration given to site preparation, facility validation, installation, quality assurance, or testing.
+- **[Supplemental]** Represent employer at conferences, meetings, boards, panels, committees, or working groups to present, explain, or defend findings or recommendations, negotiate compromises or agreements, or exchange information.
+
+## Detailed work activities
+
+- Advise customers on the use of products or services.
+- Analyze design requirements for computer or electronics systems.
+- Communicate technical information to suppliers, contractors, or regulatory agencies.
+- Confer with technical personnel to prepare designs or operational plans.
+- Create schematic drawings for electronics.
+- Design electronic or computer equipment or instrumentation.
+- Determine operational criteria or specifications.
+- Direct industrial production activities.
+- Discuss designs or plans with clients.
+- Document technical design details.
+- Estimate operational costs.
+- Estimate technical or resource requirements for development or production projects.
+- Evaluate characteristics of equipment or systems.
+- Explain project details to the general public.
+- Inspect finished products to locate flaws.
+- Operate computer systems.
+- Prepare operational reports.
+- Prepare project budgets.
+- Provide technical guidance to other personnel.
+- Recommend technical design or process changes to improve efficiency, quality, or performance.
+- Research design or application of green technologies.
+- Schedule operational activities.
+- Test products for functionality or quality.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,58 @@
+# Tools & technology — predictive maintenance expert
+
+Source: O*NET 30.3, occupation 17-2072.00 (Electronics Engineers, Except Computer) — manual nearest-occupation mapping via ISCO group 2152; the official ESCO crosswalk has no entry for this ESCO occupation.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| Apache Subversion SVN | File versioning software | yes |
+| Autodesk AutoCAD | Computer aided design CAD software | yes |
+| C | Development environment software | yes |
+| C++ | Object or component oriented development software | yes |
+| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
+| ESRI ArcGIS software | Geographic information system | yes |
+| Extensible markup language XML | Enterprise application integration software | yes |
+| Linux | Operating system software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Microsoft PowerPoint | Presentation software | yes |
+| Microsoft Word | Word processing software | yes |
+| Oracle Database | Data base user interface and query software | yes |
+| Oracle Java | Object or component oriented development software | yes |
+| Python | Object or component oriented development software | yes |
+| Structured query language SQL | Data base user interface and query software | yes |
+| The MathWorks MATLAB | Analytical or scientific software | yes |
+| Trimble SketchUp Pro | Graphics or photo imaging software | yes |
+| UNIX | Operating system software | yes |
+| Agile Product Lifecyle Management PLM | Enterprise resource planning ERP software |  |
+| Ansoft Simplorer | Analytical or scientific software |  |
+| Cadence PSpice | Analytical or scientific software |  |
+| Canu | Development environment software |  |
+| Dassault Systemes CATIA | Computer aided design CAD software |  |
+| Embarcadero Delphi | Object or component oriented development software |  |
+| Field programmable gate array FPGA design software | Computer aided design CAD software |  |
+| Formula translation/translator FORTRAN | Development environment software |  |
+| Graphics software | Graphics or photo imaging software |  |
+| Hewlett-Packard HP OpenVMS | Operating system software |  |
+| IBM Lotus Notes | Electronic mail software |  |
+| Magellan Firmware | Operating system software |  |
+| Mathsoft Mathcad | Computer aided design CAD software |  |
+| MathWorks Simulink | Analytical or scientific software |  |
+| McCabe Software TRUEchange | Project management software |  |
+| Mentor Graphics PADS | Computer aided design CAD software |  |
+| Microsoft Visual Basic.NET | Object or component oriented development software |  |
+| Microsoft Visual C# .NET | Object or component oriented development software |  |
+| National Instruments LabVIEW | Development environment software |  |
+| OrCAD Capture | Computer aided design CAD software |  |
+| Rabbit Semiconductor Dynamic C | Compiler and decompiler software |  |
+| Real time operating system RTOS software | Operating system software |  |
+| Supervisory control and data acquisition SCADA software | Industrial control software |  |
+| Synopsys Saber | Analytical or scientific software |  |
+| SystemVerilog | Development environment software |  |
+| Three-dimensional 3D computer aided design CAD software | Computer aided design CAD software |  |
+| Two-dimensional 2D computer aided design CAD software | Computer aided design CAD software |  |
+| Verilog | Development environment software |  |
+| Very high speed integrated circuit VHSIC hardware description language VHDL simulation software | Analytical or scientific software |  |
+| Very high-speed integrated circuit VHSIC hardware description language VHDL | Development environment software |  |
+| Visual Numerics PV-WAVE | Analytical or scientific software |  |
+| Web browser software | Internet browser software |  |
+| Xilinx Integrated Software Environment ISE | Computer aided design CAD software |  |