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 sk
By nicepkg · 353 installs
npx skills add nicepkg/ai-workflow --skill resource-scout
Source repository · Upstream listing
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:
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:
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
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
Databases
Content & Marketing
Cloud & DevOps
AI & Data
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