resource-scout

nicepkg/ai-workflow · updated Apr 8, 2026

$npx skills add https://github.com/nicepkg/ai-workflow --skill resource-scout
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summary

Search and discover existing Claude Code skills and MCP servers before building custom solutions.

skill.md

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:

# 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

# 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 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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.738 reviews
  • Min Perez· Dec 28, 2024

    resource-scout is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ganesh Mohane· Dec 20, 2024

    Registry listing for resource-scout matched our evaluation — installs cleanly and behaves as described in the markdown.

  • William Okafor· Dec 12, 2024

    resource-scout fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Soo Malhotra· Dec 4, 2024

    resource-scout reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakura Kapoor· Nov 23, 2024

    resource-scout has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ren Okafor· Nov 19, 2024

    Solid pick for teams standardizing on skills: resource-scout is focused, and the summary matches what you get after install.

  • Jin Dixit· Nov 15, 2024

    Keeps context tight: resource-scout is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Henry Thompson· Nov 3, 2024

    We added resource-scout from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • William Sanchez· Oct 22, 2024

    Solid pick for teams standardizing on skills: resource-scout is focused, and the summary matches what you get after install.

  • Luis Jain· Oct 14, 2024

    Useful defaults in resource-scout — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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