feat: insurance-fraud-investigator skill package v0.1.0

2026-08-14 18:25:45 +02:00
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--- a/PROVENANCE.md
+++ b/PROVENANCE.md
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+# Data provenance — insurance-fraud-investigator
+
+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 — insurance-fraud-investigator
+    "ESCO (occupation & competences)" : 27
+    "O*NET (tasks & tools)" : 73
+    "Job boards (market evidence)" : 135
+    "Anthropic official Claude skills" : 6
+    "External AI skill packs (mapped)" : 149
+```
+
+| Source | Items | Share | Files |
+|---|---|---|---|
+| ESCO (occupation & competences) | 27 | 6.9 % | references/profile.md, references/skills.md |
+| O*NET (tasks & tools) | 73 | 18.7 % | references/tasks.md, references/tools.md |
+| Job boards (market evidence) | 135 | 34.6 % | 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 | 6 | 1.5 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
+| External AI skill packs (mapped) | 149 | 38.2 % | 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 +1,79 @@
+---
+name: insurance-fraud-investigator
+description: "Occupational skill for the role 'insurance fraud investigator' (also: insurance fraud auditor, insurance policy processing worker, insurance auditors, insurance fraud examiner, insurance fraud inspector). Use when the user asks for typical insurance fraud investigator work such as: Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.; Train others in fraud detection and prevention techniques.; Research or evaluate new technologies for use in fraud detection systems."
+---
+
+# Insurance Fraud Investigator
+
+Insurance fraud investigators combat fraudulent activities by investigating the circumstances of certain suspicious claims, activities related to new customers, buying insurance products and premium calculations. Insurance fraud investigators refer potential fraud claims to insurance investigators who then undertake research and investigations to support or deny a claimant's case.
+
+## Core workflow
+
+1. Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.
+2. Train others in fraud detection and prevention techniques.
+3. Research or evaluate new technologies for use in fraud detection systems.
+4. Prepare evidence for presentation in court.
+5. Negotiate with responsible parties to arrange for recovery of losses due to fraud.
+6. Conduct field surveillance to gather case-related information.
+7. Testify in court regarding investigation findings.
+8. Advise businesses or agencies on ways to improve fraud detection.
+
+## 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)
+
+- actuarial science
+- analyse claim files
+- assess customer credibility
+- assist police investigations
+- claims procedures
+- conduct financial audits
+- detect financial crime
+- fraud detection
+- insurance law
+- interview insurance claimants
+- principles of insurance
+- review insurance process
+- types of insurance
+
+## Hot technologies
+
+- SAS
+- Tableau
+- Splunk Enterprise
+- Microsoft Access
+- Microsoft SQL Server
+- Structured query language SQL
+- Microsoft SharePoint
+- Microsoft Outlook
+- Python
+- R
+
+
+<!-- hot-tech -->
+
+## Hot technologies
+
+Top tools from 49 gated job ads (see references/market.md, as of 2026-07-14):
+
+- cell phones — 22 %
+- laptop computers — 20 %
+- Microsoft Excel — 14 %
+- Microsoft Outlook — 12 %
+- Microsoft Word — 12 %
+- cell phone — 10 %
+- laptop — 10 %
+- Microsoft PowerPoint — 10 %
+- handheld camcorder — 8 %
+- laptops — 8 %
+
+<!-- hot-tech -->
+
+---
+*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/a2b81132-2147-4c8e-b250-e6290ed906ea), O*NET 30.3 (13-2099.04). See manifest.json for licensing/attribution.*
--- a/manifest.json
+++ b/manifest.json
@@ -0,0 +1,220 @@
+{
+  "name": "insurance-fraud-investigator",
+  "title": "insurance fraud investigator",
+  "version": "0.1.0",
+  "layer": "core",
+  "language": "en",
+  "generated": "2026-07-07",
+  "ids": {
+    "esco_uri": "http://data.europa.eu/esco/occupation/a2b81132-2147-4c8e-b250-e6290ed906ea",
+    "esco_code": "3315.4",
+    "isco_group": "3315",
+    "onet_soc": "13-2099.04",
+    "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": 23,
+    "dwas": 21,
+    "skills_essential": 13,
+    "skills_optional": 13,
+    "software": 28
+  },
+  "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": 3
+      },
+      "NVIDIA/skills": {
+        "repo": "https://github.com/NVIDIA/skills",
+        "commit": "153b14b",
+        "license": "CC-BY-4.0 (skills/docs), Apache-2.0 (code)",
+        "skills": 12
+      },
+      "google/skills": {
+        "repo": "https://github.com/google/skills",
+        "commit": "b15f327",
+        "license": "Apache-2.0",
+        "skills": 12
+      },
+      "phuryn/pm-skills": {
+        "repo": "https://github.com/phuryn/pm-skills",
+        "commit": "18468a9",
+        "license": "MIT",
+        "skills": 9
+      },
+      "mukul975/Anthropic-Cybersecurity-Skills": {
+        "repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
+        "commit": "673da1f",
+        "license": "Apache-2.0",
+        "skills": 3
+      },
+      "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
+      },
+      "a5c-ai/babysitter": {
+        "repo": "https://github.com/a5c-ai/babysitter",
+        "commit": "44a5d58b",
+        "license": "MIT",
+        "skills": 5
+      },
+      "vibeeval/vibecosystem": {
+        "repo": "https://github.com/vibeeval/vibecosystem",
+        "commit": "cea9462",
+        "license": "MIT",
+        "skills": 2
+      },
+      "K-Dense-AI/claude-scientific-skills": {
+        "repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 3
+      },
+      "foryourhealth111-pixel/Vibe-Skills": {
+        "repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
+        "commit": "34429a8",
+        "license": "Apache-2.0",
+        "skills": 3
+      },
+      "K-Dense-AI/scientific-agent-skills": {
+        "repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
+        "commit": "4d97e29",
+        "license": "MIT",
+        "skills": 3
+      },
+      "jeremylongshore/claude-code-plugins-plus-skills": {
+        "repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
+        "commit": "e112938a",
+        "license": "MIT",
+        "skills": 2
+      },
+      "sanjay3290/ai-skills": {
+        "repo": "https://github.com/sanjay3290/ai-skills",
+        "commit": "3619692",
+        "license": "Apache-2.0",
+        "skills": 1
+      },
+      "mohitagw15856/pm-claude-skills": {
+        "repo": "https://github.com/mohitagw15856/pm-claude-skills",
+        "commit": "876fa30",
+        "license": "MIT",
+        "skills": 2
+      },
+      "indranilbanerjee/digital-marketing-pro": {
+        "repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
+        "commit": "a3d119c",
+        "license": "MIT",
+        "skills": 1
+      },
+      "rohitg00/pro-workflow": {
+        "repo": "https://github.com/rohitg00/pro-workflow",
+        "commit": "5c313e2",
+        "license": "no explicit license \u2014 referenced by link only",
+        "skills": 1
+      },
+      "microsoft/skills": {
+        "repo": "https://github.com/microsoft/skills",
+        "commit": "dc543aa",
+        "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
+      },
+      "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
+      },
+      "OpenSenseNova/SenseNova-Skills": {
+        "repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
+        "commit": "d8bb438",
+        "license": "MIT",
+        "skills": 1
+      },
+      "davila7/claude-code-templates": {
+        "repo": "https://github.com/davila7/claude-code-templates",
+        "commit": "fa79251",
+        "license": "MIT",
+        "skills": 3
+      },
+      "alirezarezvani/claude-skills": {
+        "repo": "https://github.com/alirezarezvani/claude-skills",
+        "commit": "0241f43",
+        "license": "MIT",
+        "skills": 2
+      },
+      "ognjengt/founder-skills": {
+        "repo": "https://github.com/ognjengt/founder-skills",
+        "commit": "a45931c",
+        "license": "MIT",
+        "skills": 1
+      }
+    },
+    "total_skills": 80,
+    "tiers": {
+      "core": 50,
+      "adjacent": 30
+    }
+  },
+  "provenance": {
+    "items": {
+      "esco": 27,
+      "onet": 73,
+      "jobads": 135,
+      "wiki_ai": 0,
+      "anthropic": 6,
+      "ai_skills": 149,
+      "stackx": 0
+    },
+    "share_percent": {
+      "esco": 6.9,
+      "onet": 18.7,
+      "jobads": 34.6,
+      "wiki_ai": 0.0,
+      "anthropic": 1.5,
+      "ai_skills": 38.2,
+      "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 +1,298 @@
+# External AI agent skills — insurance-fraud-investigator
+
+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) |
+| `xlsx` | adjacent | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, … | [source](https://github.com/anthropics/skills/tree/main/skills/xlsx) |
+
+## 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 |
+|---|---|---|---|
+| `fraud-risk-assessor` | core | Fraud risk assessment skill based on the fraud triangle with red flag detection | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/finance-accounting/skills/fraud-risk-assessor) |
+| `evidently-drift-detector` | core | Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/evidently-drift-detector) |
+| `network-analysis` | core | Map and analyze social network structures using centrality measures, community detection, and visualization tools like Gephi or UCINET | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/network-analysis) |
+| `throughput-accountant` | core | TOC financial metrics skill for throughput, inventory, and operating expense analysis with decision support | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/throughput-accountant) |
+| `budget-forecasting-engine` | core | Driver-based budgeting and forecasting skill with rolling forecast support and variance analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/finance-accounting/skills/budget-forecasting-engine) |
+
+## 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: alirezarezvani/claude-skills
+
+- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `senior-pm` | core | Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/project-management/skills/senior-pm) |
+| `capa-officer` | core | CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/ra-qm-team/skills/capa-officer) |
+
+## 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 |
+|---|---|---|---|
+| `proofread` | core | Proofread the sewage-house-prices manuscript. Checks 6 categories — structure, claims-evidence alignment, identification fidelity, writing quality, grammar, and compilation. Produces a scored report without editing files. This skill should … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/proofread) |
+| `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) |
+| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
+| `econometrics-r` | core | R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/econometrics-r) |
+| `education-data-source-fsa` | core | FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-fsa) |
+| `climate-science-guide` | core | Climate data analysis, modeling workflows, and carbon neutrality research met... | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/geoscience/climate-science-guide) |
+
+## 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 |
+|---|---|---|---|
+| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/research-grants) |
+| `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) |
+| `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) |
+
+## 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 |
+|---|---|---|---|
+| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill that establishes text-based diagrams as the DEFAULT documentation standard. Use this skill when creating ANY scientific document, report, analysis, or visualization — it ensures all … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/markdown-mermaid-writing) |
+| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
+| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/research-grants) |
+
+## Source: indranilbanerjee/digital-marketing-pro
+
+- Repository: [https://github.com/indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro) (commit `a3d119c`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `performance-report` | core | Generate performance reports. Use when: tracking KPIs, trend analysis, anomaly detection, and actionable recommendations. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/performance-report) |
+
+## 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 |
+|---|---|---|---|
+| `touch-audit` | core | Mobile audit — app size, startup time, crash reporting, store compliance, accessibility, offline behavior. Use when asked for "mobile review", "app store readiness", "mobile performance", or "crash analysis". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/touch-audit) |
+| `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 |
+|---|---|---|---|
+| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
+| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scholar-evaluation) |
+| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/research-grants) |
+
+## 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 |
+|---|---|---|---|
+| `markdown-mermaid-writing` | core | Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/markdown-mermaid-writing) |
+| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scholar-evaluation) |
+| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/research-grants) |
+
+## Source: microsoft/skills
+
+- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `azure-ai-textanalytics-py` | core | Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/plugins/azure-sdk-python/skills/azure-ai-textanalytics-py) |
+
+## 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 |
+|---|---|---|---|
+| `product-health-analysis` | core | Interpret product metrics against goals and surface actionable signals. Use when asked to analyse product health, review key metrics, investigate a performance issue, produce a health report, or assess product-market fit signals. Produces … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-analytics/skills/product-health-analysis) |
+| `retention-analysis` | core | Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-analytics/skills/retention-analysis) |
+
+## 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) |
+| `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) |
+| `performing-sqlite-database-forensics` | core | Perform forensic analysis of SQLite databases to recover deleted records from freelists and WAL files, decode encoded timestamps, and extract evidence from browser history, messaging apps, and mobile device databases. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-sqlite-database-forensics) |
+
+## Source: ognjengt/founder-skills
+
+- Repository: [https://github.com/ognjengt/founder-skills](https://github.com/ognjengt/founder-skills) (commit `a45931c`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `competitor-intel` | core | Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or … | [source](https://github.com/ognjengt/founder-skills/tree/a45931c/skills/competitor-intel) |
+
+## 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) |
+
+## Source: rohitg00/pro-workflow
+
+- Repository: [https://github.com/rohitg00/pro-workflow](https://github.com/rohitg00/pro-workflow) (commit `5c313e2`, retrieved 2026-07-14)
+- License: no explicit license — referenced by link only
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `wiki-research-loop` | core | Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing … | [source](https://github.com/rohitg00/pro-workflow/tree/5c313e2/skills/wiki-research-loop) |
+
+## Source: sanjay3290/ai-skills
+
+- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `mssql` | core | Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/mssql) |
+
+## 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: vibeeval/vibecosystem
+
+- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `dependency-analysis-patterns` | core | Dependency graph visualization, circular dependency detection, CVE scanning, and license compliance | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/dependency-analysis-patterns) |
+| `session-analysis-patterns` | core | Claude Code session analysis, tool call patterns, efficiency metrics, and anti-pattern detection | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/session-analysis-patterns) |
+
+## Source: google/skills
+
+- Repository: [https://github.com/google/skills](https://github.com/google/skills) (commit `b15f327`, retrieved 2026-07-14)
+- License: Apache-2.0
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `bigquery-basics` | core | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-basics) |
+| `datalineage-bigquery-asset-impact-analysis` | core | Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/datalineage-bigquery-asset-impact-analysis) |
+| `gke-observability` | core | Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/gke-observability) |
+| `agent-platform-alert-configuration` | adjacent | Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-alert-configuration) |
+| `agent-platform-eval-flywheel` | adjacent | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/agent-platform-eval-flywheel) |
+| `bigtable-basics` | adjacent | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigtable-basics) |
+| `alloydb-basics` | adjacent | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/alloydb-basics) |
+| `bigquery-ai-ml` | adjacent | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/bigquery-ai-ml) |
+| `cloud-sql-basics` | adjacent | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/cloud-sql-basics) |
+| `google-analytics-admin-api-basics` | adjacent | Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-admin-api-basics) |
+| `google-analytics-data-api-basics` | adjacent | Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized … | [source](https://github.com/google/skills/tree/b15f327/skills/analytics/google-analytics-data-api-basics) |
+| `google-cloud-networking-observability` | adjacent | Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running … | [source](https://github.com/google/skills/tree/b15f327/skills/cloud/google-cloud-networking-observability) |
+
+## Source: NVIDIA/skills
+
+- Repository: [https://github.com/NVIDIA/skills](https://github.com/NVIDIA/skills) (commit `153b14b`, retrieved 2026-07-14)
+- License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `vss-generate-video-report` | core | Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-report) |
+| `deepstream-dev` | adjacent | NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/deepstream-dev) |
+| `tao-train-reid` | adjacent | Person re-identification (ReID). Learns discriminative embeddings to match the same person across different camera views, based on metric learning. Use when training, evaluating, exporting, or running inference for a TAO person … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-reid) |
+| `tao-train-metric-learning-recognition` | adjacent | Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-metric-learning-recognition) |
+| `vss-manage-alerts` | adjacent | Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-manage-alerts) |
+| `vss-setup-video-analytics-api` | adjacent | Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-video-analytics-api) |
+| `nemo-evaluator-plugin` | adjacent | Use when working on the Evaluator plugin CLI, jobs, SDK-backed specs, metric types, or plugin-owned Evaluator skills. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nemo-evaluator-plugin) |
+| `vss-generate-video-calibration` | adjacent | Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-generate-video-calibration) |
+| `vss-query-analytics` | adjacent | Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-query-analytics) |
+| `vss-setup-behavior-analytics` | adjacent | Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/vss-setup-behavior-analytics) |
+| `nv-reason-cxr` | adjacent | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting. | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/nv-reason-cxr) |
+| `tao-train-depth-anything-v2` | adjacent | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or running inference for a TAO monocular depth … | [source](https://github.com/NVIDIA/skills/tree/153b14b/skills/tao-train-depth-anything-v2) |
+
+## Source: phuryn/pm-skills
+
+- Repository: [https://github.com/phuryn/pm-skills](https://github.com/phuryn/pm-skills) (commit `18468a9`, retrieved 2026-07-14)
+- License: MIT
+
+| Skill | Tier | What it adds | Upstream |
+|---|---|---|---|
+| `ab-test-analysis` | core | Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/ab-test-analysis) |
+| `cohort-analysis` | core | Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/cohort-analysis) |
+| `sql-queries` | adjacent | Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-data-analytics/skills/sql-queries) |
+| `dummy-dataset` | adjacent | Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-execution/skills/dummy-dataset) |
+| `metrics-dashboard` | adjacent | Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-discovery/skills/metrics-dashboard) |
+| `gtm-strategy` | adjacent | Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-go-to-market/skills/gtm-strategy) |
+| `lean-canvas` | adjacent | Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture. | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/lean-canvas) |
+| `north-star-metric` | adjacent | Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-marketing-growth/skills/north-star-metric) |
+| `product-strategy` | adjacent | Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility. Use when building a product strategy, creating … | [source](https://github.com/phuryn/pm-skills/tree/18468a9/pm-product-strategy/skills/product-strategy) |
--- a/references/market.md
+++ b/references/market.md
@@ -0,0 +1,182 @@
+# Market evidence report — insurance-fraud-investigator
+
+Source: **49 real job ads** (JSearch API, countries: us 41, gb 8), extracted into the MSSQL evidence store; as of 2026-07-14.
+This report contains extracted, aggregated facts only — no ad text is
+reproduced (copyright / platform terms).
+
+## Seniority distribution
+
+| Seniority | Ads | Share |
+|---|---|---|
+| mid | 41 | 84 % |
+| n/a | 4 | 8 % |
+| senior | 4 | 8 % |
+
+## Tools — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | cell phones | 11 | 22 % |
+| 2 | laptop computers | 10 | 20 % |
+| 3 | Microsoft Excel | 7 | 14 % |
+| 4 | Microsoft Outlook | 6 | 12 % |
+| 5 | Microsoft Word | 6 | 12 % |
+| 6 | cell phone | 5 | 10 % |
+| 7 | laptop | 5 | 10 % |
+| 8 | Microsoft PowerPoint | 5 | 10 % |
+| 9 | handheld camcorder | 4 | 8 % |
+| 10 | laptops | 4 | 8 % |
+| 11 | digital video camera | 3 | 6 % |
+| 12 | mobile devices | 3 | 6 % |
+
+## Hard skills — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | fraud investigation | 34 | 69 % |
+| 2 | report writing | 16 | 33 % |
+| 3 | data analysis | 11 | 22 % |
+| 4 | fraud detection | 9 | 18 % |
+| 5 | witness interviewing | 9 | 18 % |
+| 6 | research | 8 | 16 % |
+| 7 | data collection | 7 | 14 % |
+| 8 | interviewing | 7 | 14 % |
+| 9 | surveillance | 6 | 12 % |
+| 10 | document retrieval | 5 | 10 % |
+| 11 | evidence gathering | 5 | 10 % |
+| 12 | insurance claim investigation | 5 | 10 % |
+| 13 | insurance claims adjusting | 5 | 10 % |
+| 14 | investigative report writing | 5 | 10 % |
+| 15 | risk assessment | 5 | 10 % |
+| 16 | case referral development | 4 | 8 % |
+| 17 | claims adjusting | 4 | 8 % |
+| 18 | claims analysis | 4 | 8 % |
+| 19 | claims investigation | 4 | 8 % |
+| 20 | covert surveillance | 4 | 8 % |
+| 21 | financial record review | 4 | 8 % |
+| 22 | legal document review | 4 | 8 % |
+| 23 | regulatory compliance | 4 | 8 % |
+| 24 | video capture | 4 | 8 % |
+| 25 | compliance standards knowledge | 3 | 6 % |
+| 26 | evidence collection | 3 | 6 % |
+| 27 | medical record review | 3 | 6 % |
+| 28 | scene investigation | 3 | 6 % |
+
+## Methods — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | siu compliance | 5 | 10 % |
+| 2 | special investigative unit (SIU) compliance | 5 | 10 % |
+| 3 | anti-fraud laws | 4 | 8 % |
+| 4 | scene recreation | 4 | 8 % |
+| 5 | auditing | 3 | 6 % |
+| 6 | healthcare fraud compliance | 3 | 6 % |
+| 7 | litigation support | 3 | 6 % |
+| 8 | neighborhood canvassing | 3 | 6 % |
+| 9 | special investigations unit (SIU) compliance | 3 | 6 % |
+| 10 | wellness checks | 3 | 6 % |
+
+## Responsibilities — full market ranking
+
+| # | Item | Ads | Share |
+|---|---|---|---|
+| 1 | information gathering | 13 | 27 % |
+| 2 | claim investigation | 12 | 24 % |
+| 3 | documentation maintenance | 6 | 12 % |
+| 4 | communication | 5 | 10 % |
+| 5 | documentation creation | 5 | 10 % |
+| 6 | strategic plan development | 5 | 10 % |
+| 7 | strategic planning | 5 | 10 % |
+| 8 | case preparation | 4 | 8 % |
+| 9 | data analysis | 4 | 8 % |
+| 10 | database verification | 4 | 8 % |
+| 11 | documentation | 4 | 8 % |
+| 12 | field surveillance | 4 | 8 % |
+| 13 | fraud detection | 4 | 8 % |
+| 14 | investigation of fraudulent claims | 4 | 8 % |
+| 15 | record review | 4 | 8 % |
+| 16 | case referral development | 3 | 6 % |
+| 17 | document procurement | 3 | 6 % |
+| 18 | incident analysis | 3 | 6 % |
+| 19 | investigation conduction | 3 | 6 % |
+| 20 | legal advice | 3 | 6 % |
+| 21 | report drafting | 3 | 6 % |
+| 22 | statement obtaining | 3 | 6 % |
+
+## Regional breakdown
+
+> **Corpus note:** 49 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
+
+### US (us)
+
+41 ads.
+
+**Top hard skills:**
+
+- fraud investigation — 76 % (31 ads)
+- report writing — 39 % (16 ads)
+- data analysis — 27 % (11 ads)
+- witness interviewing — 22 % (9 ads)
+- research — 20 % (8 ads)
+- data collection — 17 % (7 ads)
+- fraud detection — 17 % (7 ads)
+- interviewing — 17 % (7 ads)
+- evidence gathering — 12 % (5 ads)
+- insurance claims adjusting — 12 % (5 ads)
+
+**Top tools:**
+
+- cell phones — 27 % (11 ads)
+- laptop computers — 24 % (10 ads)
+- Microsoft Excel — 17 % (7 ads)
+- Microsoft Outlook — 15 % (6 ads)
+- Microsoft Word — 15 % (6 ads)
+- Microsoft PowerPoint — 12 % (5 ads)
+- laptops — 10 % (4 ads)
+- cell phone — 7 % (3 ads)
+- digital video camera — 7 % (3 ads)
+- mobile devices — 7 % (3 ads)
+
+**Seniority:** mid 85 % · senior 10 % · n/a 5 %
+
+### 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 |
+|---|---|
+| Healthcare Fraud Investigator with Security Clearance | 3 |
+| Investigator | 3 |
+| SIU / Claims Investigator - Northern VA / DC Area | 3 |
+| Claims Audit & Fraud Investigator | 2 |
+| Flexible Field Investigator: Surveillance & SIU | 2 |
+| SIU Claims Investigator | 2 |
+| Special Investigations Unit Investigator | 2 |
+| As Needed Field Investigator- Kalispell, MT | 1 |
+| CIVIL FRAUD INVESTIGATOR (Contractual) **Reopened** | 1 |
+| Claims Investigator | 1 |
+| Claims Investigator - Part Time | 1 |
+| Field Investigator - Insurance Fraud | 1 |
+| Field Investigator: Surveillance & SIU | 1 |
+| Field SIU Investigator Property & Casualty | 1 |
+| Fraud SIU Investigator – Insurance Claims | 1 |
+| Global Healthcare Fraud Investigator | 1 |
+| Healthcare Fraud Investigator | 1 |
+| Insurance Fraud Investigator | 1 |
+| Insurance Fraud Investigator - High Pay, Warm Leads | 1 |
+| Investigator (Hybrid) | 1 |
+| Maryland, Annapolis SIU Investigator PT (28670) | 1 |
+| Maryland, Brandywine SIU Investigator PT | 1 |
+| Maryland, Winchester SIU Investigator PT (28437) | 1 |
+| Part-Time SIU / Claims Investigator | 1 |
+| Senior Fraud Investigator - Ring & Loss Investigations | 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 — insurance fraud investigator
+
+- **ESCO URI:** http://data.europa.eu/esco/occupation/a2b81132-2147-4c8e-b250-e6290ed906ea
+- **ESCO code:** 3315.4
+- **ISCO-08 group:** 3315 — Valuers and loss assessors
+- **O*NET-SOC:** 13-2099.04 — Fraud Examiners, Investigators and Analysts (match: closeMatch)
+
+## Description (ESCO)
+
+Insurance fraud investigators combat fraudulent activities by investigating the circumstances of certain suspicious claims, activities related to new customers, buying insurance products and premium calculations. Insurance fraud investigators refer potential fraud claims to insurance investigators who then undertake research and investigations to support or deny a claimant's case.
+
+## Definition
+
+nan
+
+## Alternative labels
+
+- insurance fraud auditor
+- insurance policy processing worker
+- insurance auditors
+- insurance fraud examiner
+- insurance fraud inspector
--- a/references/skills.md
+++ b/references/skills.md
@@ -0,0 +1,56 @@
+# Competences — insurance fraud investigator
+
+Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/a2b81132-2147-4c8e-b250-e6290ed906ea).
+
+## Essential
+
+- **actuarial science** (knowledge)
+- **analyse claim files** (skill/competence)
+- **assess customer credibility** (skill/competence)
+- **assist police investigations** (skill/competence)
+- **claims procedures** (knowledge)
+- **conduct financial audits** (skill/competence)
+- **detect financial crime** (skill/competence)
+- **fraud detection** (knowledge)
+- **insurance law** (knowledge)
+- **interview insurance claimants** (skill/competence)
+- **principles of insurance** (knowledge)
+- **review insurance process** (skill/competence)
+- **types of insurance** (knowledge)
+
+## Optional
+
+- analyse financial risk (skill/competence)
+- classify insurance claims (skill/competence)
+- collect property financial information (skill/competence)
+- debt systems (knowledge)
+- document evidence (skill/competence)
+- interpret law (skill/competence)
+- manage claim files (skill/competence)
+- manage claims process (skill/competence)
+- obtain financial information (skill/competence)
+- perform debt investigation (skill/competence)
+- prepare financial auditing reports (skill/competence)
+- present evidence (skill/competence)
+- trace financial transactions (skill/competence)
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 49 ads, as of 2026-07-14)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Hard skills
+
+- fraud investigation — **69 %**
+- report writing — **33 %**
+- data analysis — **22 %**
+- fraud detection — **18 %**
+- witness interviewing — **18 %**
+
+### Responsibilities
+
+- information gathering — **27 %**
+- claim investigation — **24 %**
+
+<!-- market-evidence -->
--- a/references/tasks.md
+++ b/references/tasks.md
@@ -0,0 +1,53 @@
+# Tasks & work activities — insurance fraud investigator
+
+Source: O*NET 30.3, occupation 13-2099.04 (Fraud Examiners, Investigators and Analysts).
+
+## Task statements
+
+- **[Core]** Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.
+- **[Core]** Train others in fraud detection and prevention techniques.
+- **[Core]** Research or evaluate new technologies for use in fraud detection systems.
+- **[Core]** Prepare evidence for presentation in court.
+- **[Core]** Negotiate with responsible parties to arrange for recovery of losses due to fraud.
+- **[Core]** Conduct field surveillance to gather case-related information.
+- **[Core]** Testify in court regarding investigation findings.
+- **[Core]** Advise businesses or agencies on ways to improve fraud detection.
+- **[Core]** Review reports of suspected fraud to determine need for further investigation.
+- **[Core]** Prepare written reports of investigation findings.
+- **[Core]** Recommend actions in fraud cases.
+- **[Core]** Lead, or participate in, fraud investigation teams.
+- **[Core]** Interview witnesses or suspects and take statements.
+- **[Core]** Design, implement, or maintain fraud detection tools or procedures.
+- **[Core]** Gather financial documents related to investigations.
+- **[Core]** Evaluate business operations to identify risk areas for fraud.
+- **[Core]** Document all investigative activities.
+- **[Core]** Create and maintain logs, records, or databases of information about fraudulent activity.
+- **[Core]** Coordinate investigative efforts with law enforcement officers and attorneys.
+- **[Core]** Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.
+- **[Core]** Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.
+- **[Supplemental]** Obtain and serve subpoenas.
+- **[Supplemental]** Arrest individuals to be charged with fraud.
+
+## Detailed work activities
+
+- Advise others on business or operational matters.
+- Advise others on legal or regulatory compliance matters.
+- Analyze business or financial data.
+- Apprehend criminal suspects.
+- Assess risks to business operations.
+- Collect evidence for legal proceedings.
+- Detain suspects or witnesses.
+- Develop business or financial information systems.
+- Document information related to legal proceedings.
+- Gather financial records.
+- Inform individuals or organizations of status or findings.
+- Interview witnesses, suspects, or claimants.
+- Investigate legal issues.
+- Maintain data in information systems or databases.
+- Negotiate contracts with clients or service providers.
+- Obtain documentation to authorize activities.
+- Prepare legal or investigatory documentation.
+- Supervise employees.
+- Testify at legal or legislative proceedings.
+- Train personnel to enhance job skills.
+- Update professional knowledge.
--- a/references/tools.md
+++ b/references/tools.md
@@ -0,0 +1,47 @@
+# Tools & technology — insurance fraud investigator
+
+Source: O*NET 30.3 'Software Skills' for 13-2099.04.
+
+| Software | Category | Hot technology |
+|---|---|---|
+| SAS | Analytical or scientific software | yes |
+| Tableau | Business intelligence and data analysis software | yes |
+| Splunk Enterprise | Cloud-based management software | yes |
+| Microsoft Access | Data base user interface and query software | yes |
+| Microsoft SQL Server | Data base user interface and query software | yes |
+| Structured query language SQL | Data base user interface and query software | yes |
+| Microsoft SharePoint | Document management software | yes |
+| Microsoft Outlook | Electronic mail software | yes |
+| Python | Object or component oriented development software | yes |
+| R | Object or component oriented development software | yes |
+| Microsoft Office software | Office suite software | yes |
+| Microsoft PowerPoint | Presentation software | yes |
+| Microsoft Visio | Process mapping and design software | yes |
+| Microsoft Excel | Spreadsheet software | yes |
+| Microsoft Word | Word processing software | yes |
+| Bookkeeping software | Accounting software |  |
+| PCG Software Virtual Examiner | Audit software |  |
+| Business intelligence software | Business intelligence and data analysis software |  |
+| Guardian Analytics FraudMAP | Business intelligence and data analysis software |  |
+| IBM Cognos | Business intelligence and data analysis software |  |
+| TIBCO Spotfire | Business intelligence and data analysis software |  |
+| TriZetto QNXT | Data base user interface and query software |  |
+| Vertafore ImageRight | Data base user interface and query software |  |
+| SAP Business Objects | Enterprise resource planning ERP software |  |
+| LexisNexis | Information retrieval or search software |  |
+| Electronic health record EHR software | Medical software |  |
+| ArcSight Enterprise Threat and Risk Management | Risk management data and analysis software |  |
+| NortonLifeLock cybersecurity software | Transaction security and virus protection software |  |
+
+<!-- market-evidence -->
+
+## Market evidence (job-ad analysis, 49 ads, as of 2026-07-14)
+
+Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
+
+### Tools
+
+- cell phones — **22 %**
+- laptop computers — **20 %**
+
+<!-- market-evidence -->