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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/ECC/tree/main/skills/skill-scout

즐겨 사용하는 AI에게 물어보기

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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/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

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.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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