resource-scout
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
Best use case
resource-scout is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
Teams using resource-scout should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/resource-scout/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How resource-scout Compares
| Feature / Agent | resource-scout | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Resource Scout Search and discover existing Claude Code skills and MCP servers before building custom solutions. ## Quick Search Strategy **For Skills:** 1. WebSearch: `site:skillsmp.com [topic]` or `claude skill [topic]` 2. Check GitHub: `awesome-claude-skills [topic]` 3. Browse: skillhub.club, claudeskills.info **For MCP:** 1. WebSearch: `MCP server [tool/service name]` 2. Check: glama.ai/mcp/servers, mcpmarket.com 3. Official: github.com/modelcontextprotocol/servers ## Skill Search Workflow ### Step 1: Define Need Before searching, clarify: - What task needs to be accomplished? - What tools/services are involved? - Is it a common pattern (git, testing, API) or domain-specific? ### Step 2: Search Marketplaces **Primary sources (largest catalogs):** | Source | URL | Best For | |--------|-----|----------| | SkillsMP | skillsmp.com | 71000+ skills, long-tail search | | SkillHub.club | skillhub.club | AI-evaluated, quality filter | | Claude Skills Hub | claudeskills.info | UI-friendly browsing | **Search patterns:** ``` # On SkillsMP [domain] skill → "marketing skill", "database skill" [framework] claude → "react claude", "fastapi claude" [task] automation → "deployment automation" ``` ### Step 3: Search GitHub **Curated lists:** - `github.com/keyuyuan/skillhub-awesome-skills` - 精选清单 - `github.com/VoltAgent/awesome-claude-skills` - 生态大全 - `github.com/ComposioHQ/awesome-claude-skills` - 大量通用技能 **Ready-to-use repositories:** - `github.com/alirezarezvani/claude-skills` - Content/Marketing - `github.com/gked2121/claude-skills` - Workflow思维 - `github.com/Microck/ordinary-claude-skills` - 超大集合 - `github.com/sickn33/antigravity-awesome-skills` - 结构化 **Search command:** ```bash # Use WebSearch tool site:github.com "claude skill" [topic] site:github.com "SKILL.md" [topic] ``` ### Step 4: Evaluate & Install When skill found: 1. Check last update date (prefer recent) 2. Review SKILL.md for quality 3. Check if has scripts/references 4. Install with skill-downloader or manual copy ## MCP Server Search Workflow ### Step 1: Identify Integration Need Common patterns: - Database access → postgres, mysql, sqlite MCP - GitHub workflow → github MCP - Cloud services → AWS, GCP, Azure MCPs - Communication → slack, discord MCPs - File systems → filesystem MCP ### Step 2: Search Official Sources **Primary:** - Official registry: `registry.modelcontextprotocol.io` - Official repo: `github.com/modelcontextprotocol/servers` **Directories:** | Source | URL | Features | |--------|-----|----------| | Glama | glama.ai/mcp/servers | Stars, downloads, updates | | MCP Market | mcpmarket.com | Skills + MCP combined | | mcpservers.org | mcpservers.org | Categorized | | PulseMCP | pulsemcp.com/servers | Daily updates | | Smithery | smithery.ai | Registry/distribution | ### Step 3: Search GitHub ```bash # Use WebSearch tool site:github.com "mcp server" [service] site:github.com "@modelcontextprotocol" [service] ``` **Awesome lists:** - `github.com/punkpeye/awesome-mcp-servers` - `github.com/wong2/awesome-mcp-servers` ### Step 4: Verify & Configure When MCP found: 1. Check compatibility (stdio vs HTTP) 2. Review required environment variables 3. Test connection locally 4. Add to `.claude/settings.json` ## Search by Category ### Development Tools ``` Skills: "code review skill", "git commit skill", "testing skill" MCP: "github mcp", "gitlab mcp", "jira mcp" ``` ### Databases ``` Skills: "database skill", "sql skill", "migration skill" MCP: "postgres mcp", "mysql mcp", "mongodb mcp" ``` ### Content & Marketing ``` Skills: "content creator skill", "seo skill", "social media skill" MCP: "wordpress mcp", "notion mcp" ``` ### Cloud & DevOps ``` Skills: "deployment skill", "kubernetes skill", "terraform skill" MCP: "aws mcp", "gcp mcp", "azure mcp" ``` ### AI & Data ``` Skills: "data analysis skill", "ml skill" MCP: "openai mcp", "huggingface mcp" ``` ## Complete Source Reference See [references/sources.md](references/sources.md) for full directory of all skill and MCP sources with detailed descriptions. ## Best Practices 1. **Search before build** - Always check existing resources first 2. **Prefer maintained** - Choose skills with recent updates 3. **Check quality** - Review SKILL.md structure and content 4. **Consider combining** - Multiple simple skills > one complex custom 5. **Verify security** - Review MCP permissions and token scopes
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