feat: mud-logger skill package v0.1.0

2026-08-14 16:44:56 +02:00
commit 8bc7231fc3
9 changed files with 971 additions and 0 deletions
--- a/PROVENANCE.md
+++ b/PROVENANCE.md
@@ -0,0 +1,31 @@
+# Data provenance — mud-logger
+
+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 — mud-logger
+    "ESCO (occupation & competences)" : 20
+    "O*NET (tasks & tools)" : 34
+    "Job boards (market evidence)" : 128
+    "Anthropic official Claude skills" : 5
+    "External AI skill packs (mapped)" : 159
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 20 | 5.8 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 34 | 9.8 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 128 | 37.0 % | 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 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 159 | 46.0 % | 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 +1,72 @@
+---
+name: mud-logger
+description: "Occupational skill for the role 'mud logger' (also: mudlogger, surface logging technician, surface logging specialist, logging geologist, surface logger, mud logging technican). Use when the user asks for typical mud logger work such as: Repair and maintain automotive and drilling equipment, using hand tools.; Observe and monitor equipment operation during the extraction process to detect any problems.; Drive moving equipment to transport materials and parts to excavation sites."
+---
+
+# Mud Logger
+
+Mud loggers analyse the drilling fluids after they have been drilled up. They analyse the fluids in a laboratory. Mud loggers determine the position of hydrocarbons with respect to depth. They also monitor natural gas and identify lithology.
+
+## Core workflow
+
+1. Repair and maintain automotive and drilling equipment, using hand tools.
+2. Observe and monitor equipment operation during the extraction process to detect any problems.
+3. Drive moving equipment to transport materials and parts to excavation sites.
+4. Clean up work areas and remove debris after extraction activities are complete.
+5. Organize materials to prepare for use.
+6. Unload materials, devices, and machine parts, using hand tools.
+7. Load materials into well holes or into equipment, using hand tools.
+8. Clean and prepare sites for excavation or boring.
+
+## 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)
+
+- chemical processes
+- chemistry
+- collect samples
+- conduct soil sample tests
+- examine geochemical samples
+- geology
+- monitor equipment condition
+- natural gas
+- perform data analysis
+- perform sample testing
+- prepare samples for testing
+- test oil samples
+- test samples for pollutants
+- work safely with chemicals
+- write production reports
+
+## Hot technologies
+
+- Microsoft Outlook
+- Microsoft Office software
+- Microsoft Excel
+- Google Docs
+- Microsoft Word
+
+
+<!-- hot-tech -->
+
+## Hot technologies
+
+Top tools from 58 gated job ads (see references/market.md, as of 2026-07-18):
+
+- Microsoft Excel — 24 %
+- chromatography equipment — 7 %
+- geological software — 7 %
+- Microsoft SharePoint — 7 %
+- Microsoft Teams — 7 %
+- Microsoft Word — 5 %
+
+<!-- hot-tech -->
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/d8ff83c0-be8b-47f9-93e3-b13e261e7da5), O*NET 30.3 (47-5081.00). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,238 @@
+{
+  "name": "mud-logger",
+  "title": "mud logger",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/d8ff83c0-be8b-47f9-93e3-b13e261e7da5",
+    "esco_code": "2114.1.7",
+    "isco_group": "2114",
+    "onet_soc": "47-5081.00",
+    "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": 14,
+    "dwas": 14,
+    "skills_essential": 15,
+    "skills_optional": 4,
+    "software": 5
+  },
+  "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": 5
+      },
+      "K-Dense-AI/claude-scientific-skills": {
+        "repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 3
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 3
+      },
+      "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
+      },
+      "hypnguyen1209/offensive-claude": {
+        "repo": "https://github.com/hypnguyen1209/offensive-claude",
+        "commit": "4d62be7",
+        "license": "MIT",
+        "skills": 1
+      },
+      "nWave-ai/nWave": {
+        "repo": "https://github.com/nWave-ai/nWave",
+        "commit": "1d0f13c",
+        "license": "MIT",
+        "skills": 3
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 12
+      },
+      "foryourhealth111-pixel/Vibe-Skills": {
+        "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
+        "commit": "34429a8",
+        "license": "Apache-2.0",
+        "skills": 4
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 10
+      },
+      "brycewang-stanford/Auto-Empirical-Research-Skills": {
+        "repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
+        "commit": "85bf545",
+        "license": "CC-BY-4.0",
+        "skills": 5
+      },
+      "HeshamFS/materials-simulation-skills": {
+        "repo": "https://github.com/HeshamFS/materials-simulation-skills",
+        "commit": "fa1ce8d",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 4
+      },
+      "davepoon/buildwithclaude": {
+        "repo": "https://github.com/davepoon/buildwithclaude",
+        "commit": "3c94e0c",
+        "license": "MIT",
+        "skills": 1
+      },
+      "snyk/agent-scan": {
+        "repo": "https://github.com/snyk/agent-scan",
+        "commit": "f3a4621",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "ThinkInAIXYZ/deepchat": {
+        "repo": "https://github.com/ThinkInAIXYZ/deepchat",
+        "commit": "f275c92",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "dotnet/skills": {
+        "repo": "https://github.com/dotnet/skills",
+        "commit": "79a2ada",
+        "license": "MIT",
+        "skills": 1
+      },
+      "gooseworks-ai/goose-skills": {
+        "repo": "https://github.com/gooseworks-ai/goose-skills",
+        "commit": "94ec916",
+        "license": "no explicit license \u2014 referenced by link only",
+        "skills": 1
+      },
+      "mohitagw15856/pm-claude-skills": {
+        "repo": "https://github.com/mohitagw15856/pm-claude-skills",
+        "commit": "876fa30",
+        "license": "MIT",
+        "skills": 1
+      },
+      "zebbern/claude-code-guide": {
+        "repo": "https://github.com/zebbern/claude-code-guide",
+        "commit": "d2c5280",
+        "license": "MIT",
+        "skills": 1
+      },
+      "glittercowboy/taches-cc-resources": {
+        "repo": "https://github.com/glittercowboy/taches-cc-resources",
+        "commit": "1757615",
+        "license": "MIT",
+        "skills": 1
+      },
+      "OpenSenseNova/SenseNova-Skills": {
+        "repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
+        "commit": "d8bb438",
+        "license": "MIT",
+        "skills": 10
+      },
+      "SnailSploit/Claude-Red": {
+        "repo": "https://github.com/SnailSploit/Claude-Red",
+        "commit": "aeb41ec",
+        "license": "MIT",
+        "skills": 1
+      },
+      "0xwilliamortiz/claude-red": {
+        "repo": "https://github.com/0xwilliamortiz/claude-red",
+        "commit": "ad8436b",
+        "license": "MIT",
+        "skills": 1
+      },
+      "elementalsouls/Claude-BugHunter": {
+        "repo": "https://github.com/elementalsouls/Claude-BugHunter",
+        "commit": "05098fc",
+        "license": "MIT",
+        "skills": 1
+      },
+      "nexscope-ai/eCommerce-Skills": {
+        "repo": "https://github.com/nexscope-ai/eCommerce-Skills",
+        "commit": "56f3288",
+        "license": "MIT",
+        "skills": 1
+      },
+      "ahacker-1/cre-agent-skills": {
+        "repo": "https://github.com/ahacker-1/cre-agent-skills",
+        "commit": "618734e",
+        "license": "Apache-2.0",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 78,
+      "adjacent": 2
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 20,
+      "onet": 34,
+      "jobads": 128,
+      "wiki_ai": 0,
+      "anthropic": 5,
+      "ai_skills": 159,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 5.8,
+      "onet": 9.8,
+      "jobads": 37.0,
+      "wiki_ai": 0.0,
+      "anthropic": 1.4,
+      "ai_skills": 46.0,
+      "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 +1,322 @@
+# External AI agent skills — mud-logger
+
+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: 0xwilliamortiz/claude-red
+
+- Repository: [https://github.com/0xwilliamortiz/claude-red](https://github.com/0xwilliamortiz/claude-red) (commit `ad8436b`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `offensive-mobile` | core | Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, … | [source](https://github.com/0xwilliamortiz/claude-red/tree/ad8436b/Skills/mobile/offensive-mobile) |
+
+## 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 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) |
+| `memlab-analysis` | core | Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/performance-optimization/skills/memlab-analysis) |
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `power-analysis-calculator` | core | Skill for statistical power analysis and sample size calculation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/power-analysis-calculator) |
+| `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) |
+| `iso14971-risk-analyzer` | core | Comprehensive risk management skill implementing ISO 14971:2019 methodology for medical device risk analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/iso14971-risk-analyzer) |
+
+## 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: 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: 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 |
+|---|---|---|---|
+| `hypothesis-testing-guide` | core | Statistical hypothesis testing, power analysis, and significance reporting | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics/hypothesis-testing-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) |
+| `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) |
+| `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) |
+| `choosing-causalpy-methods` | core | Choose the appropriate CausalPy experiment class from a causal question, data structure, treatment assignment, and identification assumptions. Use before writing analysis code when the method is not yet settled. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/51-pymc-labs-CausalPy/skills/choosing-causalpy-methods) |
+
+## Source: davepoon/buildwithclaude
+
+- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/docx) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `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) |
+| `matchms` | core | Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/matchms) |
+| `reactome-database` | core | Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/reactome-database) |
+| `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) |
+| `string-database` | core | Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/string-database) |
+| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
+
+## 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: elementalsouls/Claude-BugHunter
+
+- Repository: [https://github.com/elementalsouls/Claude-BugHunter](https://github.com/elementalsouls/Claude-BugHunter) (commit `05098fc`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `osint-methodology` | core | Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline (seed discovery, asset expansion, enrichment, exposure analysis, reporting), asset-graph … | [source](https://github.com/elementalsouls/Claude-BugHunter/tree/05098fc/skills/osint-methodology) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `scientific-data-preprocessing` | core | ⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-data-preprocessing) |
+| `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) |
+| `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) |
+
+## 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: gooseworks-ai/goose-skills
+
+- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
+- License: no explicit license — referenced by link only
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `investor-call-prep` | core | Prepare for investor calls by pulling upcoming meetings from Google Calendar, deeply researching each investor and their firm (website scraping, portfolio analysis, thesis extraction), checking for competitor conflicts, and outputting an … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research/capabilities/investor-call-prep) |
+
+## 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: 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 |
+|---|---|---|---|
+| `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) |
+| `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) |
+| `profiling-application-performance` | core | Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/application-profiler/skills/profiling-application-performance) |
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hypogenic) |
+| `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) |
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `hypogenic` | core | Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hypogenic) |
+| `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) |
+| `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) |
+
+## Source: mohitagw15856/pm-claude-skills
+
+- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `kyc-escalation` | core | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) |
+
+## 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) |
+| `extracting-config-from-agent-tesla-rat` | core | Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/extracting-config-from-agent-tesla-rat) |
+| `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) |
+| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
+| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
+
+## 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-jtbd-analysis` | core | JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-jtbd-analysis) |
+| `nw-stress-analysis` | core | Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-stress-analysis) |
+
+## 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 |
+|---|---|---|---|
+| `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) |
+| `numeric-extraction-and-distribution-analysis` | core | 从带单位的字符串列中提取数值并清洗，生成包含直方图、饼图、条形图和累积分布图的多维度综合分布可视化图表，用于展示数据的集中趋势与分布特征。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-conditional-formatting/data-bar-formatting) |
+| `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-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) |
+| `group-by-analysis` | core | 对多 Sheet 的 Excel 文件进行行数统计、大文件 Parquet 转换预处理、数据清洗及分组聚合分析，并生成带样式标记的统计表与可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-analysis/group-by-analysis) |
+
+## 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: SnailSploit/Claude-Red
+
+- Repository: [https://github.com/SnailSploit/Claude-Red](https://github.com/SnailSploit/Claude-Red) (commit `aeb41ec`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `offensive-mobile` | core | Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, … | [source](https://github.com/SnailSploit/Claude-Red/tree/aeb41ec/Skills/mobile/offensive-mobile) |
+
+## Source: snyk/agent-scan
+
+- Repository: [https://github.com/snyk/agent-scan](https://github.com/snyk/agent-scan) (commit `f3a4621`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/docx) |
+
+## Source: ThinkInAIXYZ/deepchat
+
+- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/docx) |
+
+## 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 |
+|---|---|---|---|
+| `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/market.md
+++ b/references/market.md
@@ -0,0 +1,178 @@
+# Market evidence report — mud-logger
+
+Source: **58 real job ads** (JSearch API, countries: us 50, gb 8), 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 | 38 | 66 % |
+| junior | 12 | 21 % |
+| n/a | 8 | 14 % |
+
+## Tools — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | Microsoft Excel | 14 | 24 % |
+| 2 | chromatography equipment | 4 | 7 % |
+| 3 | geological software | 4 | 7 % |
+| 4 | Microsoft SharePoint | 4 | 7 % |
+| 5 | Microsoft Teams | 4 | 7 % |
+| 6 | Microsoft Word | 3 | 5 % |
+
+## Hard skills — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | data analysis | 14 | 24 % |
+| 2 | mud logging | 14 | 24 % |
+| 3 | data acquisition | 13 | 22 % |
+| 4 | geological data collection | 11 | 19 % |
+| 5 | chromatography | 9 | 16 % |
+| 6 | equipment maintenance | 9 | 16 % |
+| 7 | gas monitoring | 9 | 16 % |
+| 8 | geological data analysis | 9 | 16 % |
+| 9 | drill cutting analysis | 7 | 12 % |
+| 10 | gas analysis | 7 | 12 % |
+| 11 | geological monitoring | 7 | 12 % |
+| 12 | hydrocarbon extraction | 7 | 12 % |
+| 13 | cuttings analysis | 6 | 10 % |
+| 14 | data reporting | 6 | 10 % |
+| 15 | drilling parameter monitoring | 6 | 10 % |
+| 16 | cuttings description | 5 | 9 % |
+| 17 | hydrocarbon detection | 5 | 9 % |
+| 18 | hydrocarbon extraction analysis | 5 | 9 % |
+| 19 | lithology identification | 5 | 9 % |
+| 20 | log generation | 5 | 9 % |
+| 21 | chemistry | 4 | 7 % |
+| 22 | geological data monitoring | 4 | 7 % |
+| 23 | geology | 4 | 7 % |
+| 24 | rock sample description | 4 | 7 % |
+| 25 | data collection | 3 | 5 % |
+| 26 | drilling theory | 3 | 5 % |
+| 27 | equipment calibration | 3 | 5 % |
+| 28 | lithology analysis | 3 | 5 % |
+| 29 | math | 3 | 5 % |
+| 30 | mineralogy identification | 3 | 5 % |
+| 31 | mud logging techniques | 3 | 5 % |
+| 32 | mud property monitoring | 3 | 5 % |
+| 33 | stratigraphic information logging | 3 | 5 % |
+| 34 | troubleshooting | 3 | 5 % |
+
+## Methods — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | real-time surveillance | 6 | 10 % |
+| 2 | geosteering | 5 | 9 % |
+
+## Responsibilities — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | equipment maintenance | 18 | 31 % |
+| 2 | equipment calibration | 10 | 17 % |
+| 3 | data collection | 8 | 14 % |
+| 4 | cuttings collection | 7 | 12 % |
+| 5 | data documentation | 7 | 12 % |
+| 6 | hazard identification | 7 | 12 % |
+| 7 | drilling parameter monitoring | 6 | 10 % |
+| 8 | geological data collection | 6 | 10 % |
+| 9 | collaboration with engineers | 5 | 9 % |
+| 10 | communication with geologists and engineers | 5 | 9 % |
+| 11 | report delivery | 5 | 9 % |
+| 12 | data analysis | 4 | 7 % |
+| 13 | data monitoring | 4 | 7 % |
+| 14 | drilling parameter surveillance | 4 | 7 % |
+| 15 | log generation | 4 | 7 % |
+| 16 | monitoring geological data | 4 | 7 % |
+| 17 | report preparation | 4 | 7 % |
+| 18 | client communication | 3 | 5 % |
+| 19 | cuttings gathering | 3 | 5 % |
+| 20 | mud log creation | 3 | 5 % |
+| 21 | remote work | 3 | 5 % |
+| 22 | rig down | 3 | 5 % |
+| 23 | rig up | 3 | 5 % |
+| 24 | sample collection | 3 | 5 % |
+| 25 | sample integrity assurance | 3 | 5 % |
+| 26 | sample preparation | 3 | 5 % |
+
+## Regional breakdown
+
+> **Corpus note:** 58 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
+
+### US (us)
+
+50 ads.
+
+**Top hard skills:**
+
+- data analysis — 28 % (14 ads)
+- data acquisition — 26 % (13 ads)
+- mud logging — 22 % (11 ads)
+- chromatography — 18 % (9 ads)
+- equipment maintenance — 18 % (9 ads)
+- gas monitoring — 18 % (9 ads)
+- geological data analysis — 18 % (9 ads)
+- drill cutting analysis — 14 % (7 ads)
+- gas analysis — 14 % (7 ads)
+- geological monitoring — 14 % (7 ads)
+
+**Top tools:**
+
+- Microsoft Excel — 28 % (14 ads)
+- chromatography equipment — 8 % (4 ads)
+- geological software — 8 % (4 ads)
+- Microsoft SharePoint — 8 % (4 ads)
+- Microsoft Teams — 8 % (4 ads)
+- Microsoft Word — 6 % (3 ads)
+- data analysis tools — 4 % (2 ads)
+- Flame Ionization Detection (FID) — 4 % (2 ads)
+- Mass Spectrometry — 4 % (2 ads)
+- mudlogging software — 4 % (2 ads)
+
+**Seniority:** mid 76 % · n/a 14 % · junior 10 %
+
+### UK (gb)
+
+**Insufficient evidence** — 8 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 |
+|---|---|
+| Mud Logger | Permian Basin | 5 |
+| Mud Logger | 3 |
+| Mud Logging Geologist | 3 |
+| OKLAHOMA MUD LOGGER | 3 |
+| Trainee Mudlogger - Entry Level Oil and Gas | 3 |
+| Aberdeen - Logging Geologist-SDL, II | 2 |
+| GSS Mud Logging Analyst | 2 |
+| Junior Mud Logger Geologist | 2 |
+| Mud Logger | Entry Level and Experienced | 2 |
+| On-Site Mud Logging Technician — Mexico | 2 |
+| Wellsite Geologist/Mudlogger | 2 |
+| EAST TEXAS MUD LOGGER | 1 |
+| Field Geologist & Mudlogger at Remote Well Sites | 1 |
+| Field Logging Geologist | 1 |
+| Field Logging Geologist – SDL II; Data & Drilling | 1 |
+| Field Logging Geologist (SDL II) - Entry-Level | 1 |
+| Field Mud Logger – Real-Time Geology Data | 1 |
+| Field Mud Logger: Real-Time Wellbore Insights | 1 |
+| Logging Geologist | 1 |
+| Logging Geologist SDL II | 1 |
+| Mud Logger / Mudlogging Technician – East Texas And Louisiana | 1 |
+| Mud Logger / Mudlogging Technician – New Mexico | 1 |
+| Mud Logger / Mudlogging Technician – Oklahoma | 1 |
+| Mud Logger / Mudlogging Technician – Permian And Delaware Basin | 1 |
+| Mud Logger/Well-Site Geologist | 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 +1,23 @@
+# Occupation profile — mud logger
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/d8ff83c0-be8b-47f9-93e3-b13e261e7da5
+- **ESCO code:** 2114.1.7
+- **ISCO-08 group:** 2114 — Geologists and geophysicists
+- **O*NET-SOC:** 47-5081.00 — Helpers--Extraction Workers (match: closeMatch)
+
+## Description (ESCO)
+
+Mud loggers analyse the drilling fluids after they have been drilled up. They analyse the fluids in a laboratory. Mud loggers determine the position of hydrocarbons with respect to depth. They also monitor natural gas and identify lithology.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- mudlogger
+- surface logging technician
+- surface logging specialist
+- logging geologist
+- surface logger
+- mud logging technican
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,47 @@
+# Competences — mud logger
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/d8ff83c0-be8b-47f9-93e3-b13e261e7da5).
+
+## Essential
+
+- **chemical processes** (knowledge)
+- **chemistry** (knowledge)
+- **collect samples** (skill/competence)
+- **conduct soil sample tests** (skill/competence)
+- **examine geochemical samples** (skill/competence)
+- **geology** (knowledge)
+- **monitor equipment condition** (skill/competence)
+- **natural gas** (knowledge)
+- **perform data analysis** (skill/competence)
+- **perform sample testing** (skill/competence)
+- **prepare samples for testing** (skill/competence)
+- **test oil samples** (skill/competence)
+- **test samples for pollutants** (skill/competence)
+- **work safely with chemicals** (skill/competence)
+- **write production reports** (skill/competence)
+
+## Optional
+
+- advise on geology for mineral extraction (skill/competence)
+- assess risks implied in rigging operations (skill/competence)
+- ensure compliance with safety legislation (skill/competence)
+- troubleshoot (skill/competence)
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 58 ads, as of 2026-07-18)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Hard skills
+
+- data analysis — **24 %**
+- mud logging — **24 %**
+- data acquisition — **22 %**
+- geological data collection — **19 %**
+
+### Responsibilities
+
+- equipment maintenance — **31 %**
+
+<!-- market-evidence -->
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,37 @@
+# Tasks & work activities — mud logger
+
+Source: O*NET 30.3, occupation 47-5081.00 (Helpers--Extraction Workers).
+
+## Task statements
+
+- **[Core]** Repair and maintain automotive and drilling equipment, using hand tools.
+- **[Core]** Observe and monitor equipment operation during the extraction process to detect any problems.
+- **[Core]** Drive moving equipment to transport materials and parts to excavation sites.
+- **[Core]** Clean up work areas and remove debris after extraction activities are complete.
+- **[Core]** Organize materials to prepare for use.
+- **[Core]** Unload materials, devices, and machine parts, using hand tools.
+- **[Core]** Load materials into well holes or into equipment, using hand tools.
+- **[Core]** Clean and prepare sites for excavation or boring.
+- **[Core]** Set up and adjust equipment used to excavate geological materials.
+- **[Supplemental]** Provide assistance to extraction craft workers, such as earth drillers and derrick operators.
+- **[Supplemental]** Dismantle extracting and boring equipment used for excavation, using hand tools.
+- **[Supplemental]** Signal workers to start geological material extraction or boring.
+- **[Supplemental]** Collect and examine geological matter, using hand tools and testing devices.
+- **[Supplemental]** Dig trenches.
+
+## Detailed work activities
+
+- Assist skilled construction or extraction personnel.
+- Clean work sites.
+- Collect geological samples.
+- Dig holes or trenches.
+- Dismantle equipment or temporary structures.
+- Drive trucks or truck-mounted equipment.
+- Load materials into construction equipment.
+- Load or unload materials used in construction or extraction.
+- Maintain drilling equipment.
+- Monitor extraction operations.
+- Operate mining equipment.
+- Prepare excavation or extraction sites for commissioning or decommissioning.
+- Select construction materials.
+- Signal equipment operators to indicate proper equipment positioning.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,23 @@
+# Tools & technology — mud logger
+
+Source: O*NET 30.3 'Software Skills' for 47-5081.00.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| Microsoft Outlook | Electronic mail software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| Google Docs | Word processing software | yes |
+| Microsoft Word | Word processing software | yes |
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 58 ads, as of 2026-07-18)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Tools
+
+- Microsoft Excel — **24 %**
+
+<!-- market-evidence -->