resource-scout

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

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

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

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"

```

See [references/sources.md](references/sources.md) for full directory of all skill and MCP sources with detailed descriptions.

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