call-centre-quality-auditor/references/ai-skills.md

# External AI agent skills — call-centre-quality-auditor

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 |
|---|---|---|---|
| `Customer Feedback Aggregation` | core | Aggregate and analyze customer feedback from multiple sources for product insights | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/feedback-aggregation) |
| `lighthouse` | adjacent | Performance and accessibility auditing using Google Lighthouse. Measure Core Web Vitals, accessibility scores, SEO, and best practices. Generate reports and track performance budgets. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ux-ui-design/skills/lighthouse) |
| `eval-harness` | adjacent | Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/everything-claude-code/skills/eval-harness) |
| `model-profile-resolution` | adjacent | Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/model-profile-resolution) |

## Source: aeonfun/aeon

- Repository: [https://github.com/aeonfun/aeon](https://github.com/aeonfun/aeon) (commit `b8b763a`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `self-improve` | adjacent | Improve the agent itself, or audit its recent performance - better skills, prompts, workflows, and config, plus a quality/reliability/memory-hygiene review of what it did and what failed | [source](https://github.com/aeonfun/aeon/tree/b8b763a/skills/self-improve) |

## Source: affaan-m/everything-claude-code

- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `skill-stocktake` | adjacent | Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/skill-stocktake) |

## 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-monitor` | adjacent | Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms. Use for daily or weekly checks, anomaly review, budget pacing, post-launch verification, or campaign … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-monitor) |

## 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 |
|---|---|---|---|
| `team-communications` | core | Write internal company communications — 3P updates (Progress/Plans/Problems), company-wide newsletters, FAQ roundups, incident reports, leadership updates, status reports, project updates, and general internal comms. Use this skill any … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/project-management/skills/team-communications) |
| `skill-tester` | adjacent | Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering/skills/skill-tester) |

## Source: browser-act/skills

- Repository: [https://github.com/browser-act/skills](https://github.com/browser-act/skills) (commit `51daea1`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `taobao-product-reviews` | core | Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs. Use when user asks to get product reviews from Taobao, scrape Taobao customer feedback, extract … | [source](https://github.com/browser-act/skills/tree/51daea1/solutions/ecommerce/taobao-product-reviews) |

## 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 |
|---|---|---|---|
| `code-review-excellence` | core | This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/code-review-excellence) |
| `b2` | adjacent | VS-Enhanced Evidence Quality Appraiser - Prevents Mode Collapse with context-adaptive quality assessment Enhanced VS 3-Phase process: Avoids automatic tool application, delivers research-specific evaluation strategies Use when: appraising … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/b2) |
| `paper-review-skills` | adjacent | 8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review) |
| `plotnine` | adjacent | plotnine static visualization (ggplot2 syntax for Python). Geoms, aesthetics, scales, coordinates, facets, themes. Use for static publication-quality figures with grammar-of-graphics syntax. For interactive charts use plotly; for maps use … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/plotnine) |
| `referee2` | adjacent | Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/13-scunning1975-MixtapeTools/skills/referee2) |
| `review` | adjacent | All quality reviews — routes to appropriate critics based on target file type and flags. Replaces /paper-excellence, /proofread, /econometrics-check, /review-r, /review-paper. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/review) |
| `slide-excellence` | adjacent | Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/12-pedrohcgs-claude-code-my-workflow/dot-claude/skills/slide-excellence) |

## 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 |
|---|---|---|---|
| `gsd:set-profile` | adjacent | Switch model profile for GSD agents (quality/balanced/budget/inherit) | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/gsd/skills/set-profile) |
| `image-enhancer` | adjacent | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/image-enhancer) |
| `pagerduty-automation` | adjacent | Automate PagerDuty tasks via Rube MCP (Composio): manage incidents, services, schedules, escalation policies, and on-call rotations. Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/pagerduty-automation) |

## 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 |
|---|---|---|---|
| `lint-and-validate` | core | Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/lint-and-validate) |
| `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) |
| `evaluating-llms-harness` | adjacent | Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/evaluation-lm-evaluation-harness) |
| `image-enhancer` | adjacent | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/media/image-enhancer) |

## 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 |
|---|---|---|---|
| `dotnet-pinvoke` | adjacent | Correctly call native (C/C++) libraries from .NET using P/Invoke and LibraryImport. Covers function signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns. USE FOR: writing new P/Invoke or LibraryImport … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-advanced/skills/dotnet-pinvoke) |

## 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 |
|---|---|---|---|
| `scholar-evaluation` | adjacent | 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) |
| `slides-as-code` | adjacent | Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/slides-as-code) |

## Source: GarethManning/education-agent-skills

- Repository: [https://github.com/GarethManning/education-agent-skills](https://github.com/GarethManning/education-agent-skills) (commit `4be2795`, retrieved 2026-07-14)
- License: CC-BY-4.0

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `feedback-quality-analyser` | adjacent | Analyse existing written feedback for quality, specificity, actionability, and impact on student learning. Use when reviewing teacher or peer feedback to improve feedback practices. | [source](https://github.com/GarethManning/education-agent-skills/tree/4be2795/skills/memory-learning-science/feedback-quality-analyser) |

## Source: giuseppe-trisciuoglio/developer-kit

- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | core | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |

## 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 |
|---|---|---|---|
| `voice-of-customer-synthesizer` | core | Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research/composites/voice-of-customer-synthesizer) |
| `review-scraper` | core | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites. | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/monitoring/capabilities/review-scraper) |
| `review-site-scraper` | core | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites. | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/monitoring/capabilities/review-site-scraper) |
| `investor-call-prep` | adjacent | 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: harperreed/dotfiles

- Repository: [https://github.com/harperreed/dotfiles](https://github.com/harperreed/dotfiles) (commit `6b5ced1`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `swiftui-performance-audit` | core | Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide … | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills/swiftui-performance-audit) |

## 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 |
|---|---|---|---|
| `echo` | core | User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/echo) |
| `langfuse-core-workflow-b` | adjacent | Execute Langfuse secondary workflow: Evaluation, scoring, and datasets. Use when implementing LLM evaluation, adding user feedback, or setting up automated quality scoring and experiment datasets. Trigger with phrases like "langfuse … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/langfuse-pack/skills/langfuse-core-workflow-b) |
| `echo-feedback` | adjacent | Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/echo-feedback) |
| `langchain-eval-harness` | adjacent | Build reproducible evaluation pipelines for LangChain 1.0 chains and\ \ LangGraph 1.0\nagents \u2014 golden datasets, LangSmith evaluate(), ragas RAG\ \ metrics, deepeval\nLLM-as-judge, agent trajectory analysis, and CI gating on quality\ … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/langchain-py-pack/skills/langchain-eval-harness) |
| `podium-call-transcript-pipeline` | adjacent | Durable, idempotent ingest pipeline for Podium call transcripts — the layer between Podium's transcript webhook and a downstream RAG/LLM queue. Survives minutes-to-hours transcript latency, partial-then-final overwrites, non-English … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/podium-pack/skills/podium-call-transcript-pipeline) |

## 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 |
|---|---|---|---|
| `scholar-evaluation` | adjacent | 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) |

## 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 |
|---|---|---|---|
| `scholar-evaluation` | adjacent | 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) |

## 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 |
|---|---|---|---|
| `performance-review` | core | Write structured, balanced performance reviews from bullet-point inputs. Use when asked to write a performance review, self-assessment, peer review, 360 feedback, or manager evaluation. Produces a complete, fair, professionally written … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-people/skills/performance-review) |
| `voice-of-customer-program` | core | Stand up a Voice of Customer (VoC) program that turns feedback into action. Use when asked to build a VoC program, design a customer feedback loop, consolidate feedback sources, or set up a closed-loop feedback process. Produces a VoC … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-pmm/skills/voice-of-customer-program) |
| `substack-notes-scraper` | core | Scrapes a Substack Notes page and exports engagement data to a formatted .xlsx file. Use when asked to download, analyse, or export Substack Notes performance data including likes, comments, and restacks. Produces a formatted spreadsheet … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-writers/skills/substack-notes-scraper) |
| `candidate-scorecard` | adjacent | Turn interview notes into a structured candidate scorecard and hire recommendation. Use when asked to write an interview scorecard, a candidate evaluation, an interview debrief, or to summarize feedback into a hire/no-hire call. Produces a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-recruiting/skills/candidate-scorecard) |
| `oncall-runbook` | adjacent | Write an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-engineering/skills/oncall-runbook) |
| `ai-eval-plan` | adjacent | Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an AI feature, or build a regression gate. Produces an eval plan … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-agentops/skills/ai-eval-plan) |
| `escalation-tree` | adjacent | Design a support/incident escalation tree — who handles what, when it escalates, and to whom. Use when asked to design an escalation path, an escalation matrix, support tiers, an on-call escalation policy, or to fix 'tickets bounce around … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-support/skills/escalation-tree) |

## 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 |
|---|---|---|---|
| `detecting-aws-cloudtrail-anomalies` | adjacent | Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-aws-cloudtrail-anomalies) |

## Source: muratcankoylan/Agent-Skills-for-Context-Engineering

- Repository: [https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) (commit `c578e85`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `advanced-evaluation` | adjacent | This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment. | [source](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/c578e85/skills/advanced-evaluation) |
| `evaluation` | adjacent | This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines. | [source](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/c578e85/skills/evaluation) |

## Source: NeoLabHQ/context-engineering-kit

- Repository: [https://github.com/NeoLabHQ/context-engineering-kit](https://github.com/NeoLabHQ/context-engineering-kit) (commit `e61511b`, retrieved 2026-07-14)
- License: GPL

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agent-evaluation` | adjacent | Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality. | [source](https://github.com/NeoLabHQ/context-engineering-kit/tree/e61511b/plugins/customaize-agent/skills/agent-evaluation) |

## Source: nexscope-ai/Amazon-Skills

- Repository: [https://github.com/nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills) (commit `bdc5562`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `amazon-review-analyzer` | core | Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product … | [source](https://github.com/nexscope-ai/Amazon-Skills/tree/bdc5562/amazon-review-analyzer) |

## 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 |
|---|---|---|---|
| `product-review-analysis` | core | Product review analysis and customer feedback intelligence. Pain point identification, praise pattern analysis, feature request extraction, sentiment analysis, and product improvement insights. Use when the user asks about review analysis, … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/product-review-analysis) |
| `tiktok-shop-customer-service` | core | Customer service on TikTok Shop — response time, dispute resolution, auto-replies, buyer satisfaction | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/tiktok-shop-customer-service) |

## Source: nexu-io/open-design

- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
- License: Apache-2.0

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `image-enhancer` | adjacent | Improve image and screenshot quality by enhancing resolution, sharpness, and clarity for professional presentations and documentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/image-enhancer) |

## Source: nowork-studio/NotFair

- Repository: [https://github.com/nowork-studio/NotFair](https://github.com/nowork-studio/NotFair) (commit `99bda4b`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-page` | adjacent | Single-page SEO audit: deep content quality evaluation using Google's E-E-A-T framework, Helpful Content guidelines, on-page SEO factors, search intent alignment, technical signals, and readability analysis. Fetches GSC performance data … | [source](https://github.com/nowork-studio/NotFair/tree/99bda4b/seo/seo-page) |

## Source: nowork-studio/notfair-plugin

- Repository: [https://github.com/nowork-studio/notfair-plugin](https://github.com/nowork-studio/notfair-plugin) (commit `8d9d54b`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-page` | adjacent | Single-page SEO audit: deep content quality evaluation using Google's E-E-A-T framework, Helpful Content guidelines, on-page SEO factors, search intent alignment, technical signals, and readability analysis. Fetches GSC performance data … | [source](https://github.com/nowork-studio/notfair-plugin/tree/8d9d54b/seo/seo-page) |

## 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-architecture-patterns` | adjacent | Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-architecture-patterns) |
| `nw-production-readiness` | adjacent | Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-production-readiness) |

## Source: OpenRaiser/NanoResearch

- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `evaluating-llms-harness` | adjacent | Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by … | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/lm-evaluation-harness) |

## 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 |
|---|---|---|---|
| `outlier-detection-and-quality-assessment` | adjacent | 执行全面的异常值检测与数据质量评估，利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征，适用于非正态分布数据的预处理阶段。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/outlier-detection) |

## Source: Orchestra-Research/AI-research-SKILLs

- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `evaluating-llms-harness` | adjacent | Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/11-evaluation/lm-evaluation-harness) |

## Source: OthmanAdi/langsmith-fetch-skill

- Repository: [https://github.com/OthmanAdi/langsmith-fetch-skill](https://github.com/OthmanAdi/langsmith-fetch-skill) (commit `1a995f1`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langsmith-fetch` | adjacent | Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. … | [source](https://github.com/OthmanAdi/langsmith-fetch-skill/tree/1a995f1) |

## Source: plugin87/ux-ui-agent-skills

- Repository: [https://github.com/plugin87/ux-ui-agent-skills](https://github.com/plugin87/ux-ui-agent-skills) (commit `93a7fbb`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `design-review` | adjacent | Review or audit a design/UI across 6 weighted dimensions with Nielsen's 10 heuristics and a prioritized findings table. Use when the user wants a design critique, quality score, heuristic evaluation, or audit of an existing screen, page, … | [source](https://github.com/plugin87/ux-ui-agent-skills/tree/93a7fbb/.claude/skills/design-review) |

## 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 |
|---|---|---|---|
| `discovery-research-synthesis` | core | Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/discovery-research-synthesis) |
| `user-feedback-aggregation` | core | Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/user-feedback-aggregation) |
| `programmatic-seo` | adjacent | How to design and run a programmatic SEO program that produces durable traffic instead of penalty-bait. Data source identification, template design, schema patterns, quality control at scale, internal linking architecture, crawl budget … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/programmatic-seo) |

## Source: ReScienceLab/opc-skills

- Repository: [https://github.com/ReScienceLab/opc-skills](https://github.com/ReScienceLab/opc-skills) (commit `9ea282e`, retrieved 2026-07-14)
- License: Apache-2.0

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `requesthunt` | adjacent | Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature … | [source](https://github.com/ReScienceLab/opc-skills/tree/9ea282e/skills/requesthunt) |

## 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 |
|---|---|---|---|
| `token-efficiency` | adjacent | Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient. | [source](https://github.com/rohitg00/pro-workflow/tree/5c313e2/skills/token-efficiency) |

## Source: secondsky/claude-skills

- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `recommendation-engine` | adjacent | Build recommendation systems with collaborative filtering, matrix factorization, hybrid approaches. Use for product recommendations, personalization, or encountering cold start, sparsity, quality evaluation issues. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/recommendation-engine/skills/recommendation-engine) |

## Source: silverstein/minutes

- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `minutes-debrief` | adjacent | Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-debrief) |
| `minutes-prep` | adjacent | Interactive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-prep) |
| `minutes-record` | adjacent | Start or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-record) |
| `minutes-tag` | adjacent | Lightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-tag) |

## 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 |
|---|---|---|---|
| `dataset-quality-audit` | adjacent | Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/dataset-quality-audit) |

## Source: zechenzhangAGI/AI-research-SKILLs

- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT

| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `evaluating-llms-harness` | adjacent | Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/11-evaluation/lm-evaluation-harness) |