Communitygithub.com

skill-scout

Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.

skill-scout란 무엇인가요?

skill-scout is a Claude Code agent skill that search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.

지원 대상Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/skill-scout

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문서

Skill Scout

Use this skill before creating a new skill. The goal is to avoid duplicating existing community or marketplace work, while still vetting anything external before adoption.

Source: salvaged from stale community PR #1232 by redminwang.

When to Use

  • The user says "create a skill", "build a skill", "make a skill", or "new skill".
  • The user asks "is there a skill for X?" or "does a skill exist that does Y?"
  • The user describes a workflow and you are about to suggest creating a new skill.
  • The user wants to fork or extend an existing skill.

If the user explicitly says to skip search or create from scratch, acknowledge that and proceed with the requested creation workflow.

How It Works

Step 1 - Capture Intent

Extract:

  • The task the skill should perform.
  • The trigger conditions for using it.
  • The domain, tools, frameworks, or data sources involved.
  • Three to five search keywords plus useful synonyms.

Step 2 - Search Local Sources

Search installed and marketplace skill names first. Local sources are preferred because they are already part of the user's environment.

find ~/.claude/skills -maxdepth 2 -name SKILL.md 2>/dev/null | grep -iE "keyword|synonym"
find ~/.claude/plugins/marketplaces -path '*/skills/*/SKILL.md' 2>/dev/null | grep -iE "keyword|synonym"

Then search frontmatter descriptions:

grep -RilE "keyword|synonym" ~/.claude/skills ~/.claude/plugins/marketplaces 2>/dev/null

Step 3 - Search Remote Sources

Use available GitHub and web search tools. Prefer concise queries:

gh search repos "claude code skill keyword" --limit 10 --sort stars
gh search code "name: keyword" --filename SKILL.md --limit 10

For web search, use at most three targeted queries such as:

"claude code skill" keyword
"SKILL.md" keyword
"everything-claude-code" keyword

Step 4 - Vet External Matches

Before recommending any external skill for adoption or forking:

  • Read the SKILL.md frontmatter and instructions.
  • Look for unexpected shell commands, file writes, network calls, credential handling, or package installs.
  • Check whether the repository appears maintained.
  • Prefer copying into a fresh local branch and reviewing the diff over editing marketplace originals.

Step 5 - Rank Results

Rank candidates by:

  1. Exact keyword match in the skill name.
  2. Keyword or synonym match in description.
  3. Local installed or marketplace source.
  4. Maintained GitHub source with recent activity.
  5. Web-only mention.

Cap the final list at 10 results.

Step 6 - Present Decision Options

Give the user a short table:

OptionMeaning
Use existingInvoke or install a matching skill as-is.
Fork or extendCopy the closest skill and modify it.
Create freshBuild a new skill after confirming no close match exists.

Only create a new skill after the user chooses that path or after the search finds no close match.

Examples

Result Table

| # | Skill | Source | Why it matches | Gap |
| --- | --- | --- | --- | --- |
| 1 | article-writing | Local ECC | Drafts articles and guides | Not focused on release notes |
| 2 | content-engine | Local ECC | Multi-format content workflow | Heavier than needed |
| 3 | blog-writer | GitHub | Blog writing skill with recent commits | Needs security review |

User-Facing Summary

I found two close local matches and one external candidate. The closest fit is
`article-writing`; it covers drafting and revision, but it does not include the
release-note checklist you asked for. I can either use it as-is, fork it into a
release-note variant, or create a fresh skill.

Anti-Patterns

  • Do not jump directly to new skill creation when a search is reasonable.
  • Do not install external skills without reading them first.
  • Do not present a long unranked list of weak matches.
  • Do not treat web-only mentions as trusted sources.
  • Do not edit installed marketplace originals in place.

Related

  • search-first - General search-before-building workflow.
  • skill-stocktake - Audit installed skills for health, duplicates, and gaps.
  • agent-sort - Categorize and organize existing agents and skills.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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