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Get Started Free →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.
.claude/skills/nicepkg-resource-scout/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | 41% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 50% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 241% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -25% | 0% |
Search and discover existing Claude Code skills and MCP servers before building custom solutions.
For Skills:
site:skillsmp.com [topic] or claude skill [topic]awesome-claude-skills [topic]For MCP:
MCP server [tool/service name]Before searching, clarify:
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"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/Marketinggithub.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]
When skill found:
Common patterns:
Primary:
registry.modelcontextprotocol.iogithub.com/modelcontextprotocol/serversDirectories: | 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 |
bash# Use WebSearch tool site:github.com "mcp server" [service] site:github.com "@modelcontextprotocol" [service]
Awesome lists:
github.com/punkpeye/awesome-mcp-serversgithub.com/wong2/awesome-mcp-serversWhen MCP found:
.claude/settings.jsonSkills: "code review skill", "git commit skill", "testing skill"
MCP: "github mcp", "gitlab mcp", "jira mcp"Skills: "database skill", "sql skill", "migration skill"
MCP: "postgres mcp", "mysql mcp", "mongodb mcp"Skills: "content creator skill", "seo skill", "social media skill"
MCP: "wordpress mcp", "notion mcp"Skills: "deployment skill", "kubernetes skill", "terraform skill"
MCP: "aws mcp", "gcp mcp", "azure mcp"Skills: "data analysis skill", "ml skill"
MCP: "openai mcp", "huggingface mcp"See references/sources.md for full directory of all skill and MCP sources with detailed descriptions.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-16 | fail→pass | 13,883 | 9,126 | -34% | 1 | 1 | 0% | 2,004 | 2,824 | +41% | 0 | 0 | — |
case-17 | fail→pass | 14,842 | 8,891 | -40% | 1 | 1 | 0% | 2,343 | 2,847 | +22% | 0 | 0 | — |
case-05 | fail→fail | 11,693 | 9,209 | -21% | 1 | 1 | 0% | 1,904 | 2,765 | +45% | 0 | 0 | — |
case-01 | fail→fail | 22,009 | 26,645 | +21% | 1 | 1 | 0% | 3,401 | 4,516 | +33% | 0 | 0 | — |
case-02 | fail→fail | 14,725 | 12,946 | -12% | 1 | 1 | 0% | 2,464 | 3,511 | +42% | 0 | 0 | — |
case-03 | fail→pass | 13,291 | 10,239 | -23% | 1 | 1 | 0% | 2,043 | 3,072 | +50% | 0 | 0 | — |
case-04 | fail→fail | 13,460 | 9,643 | -28% | 1 | 1 | 0% | 2,173 | 2,980 | +37% | 0 | 0 | — |
case-06 | fail→pass | 3,099 | 2,748 | -11% | 1 | 1 | 0% | 510 | 1,740 | +241% | 0 | 0 | — |
case-07 | fail→pass | 16,299 | 3,180 | -80% | 1 | 1 | 0% | 2,494 | 1,867 | -25% | 0 | 0 | — |
case-08 | pass→pass | 12,745 | 6,329 | -50% | 1 | 1 | 0% | 1,907 | 2,416 | +27% | 0 | 0 | — |
case-09 | fail→pass | 13,539 | 5,035 | -63% | 1 | 1 | 0% | 2,056 | 2,219 | +8% | 0 | 0 | — |
case-10 | pass→pass | 5,734 | 3,793 | -34% | 1 | 1 | 0% | 839 | 1,899 | +126% | 0 | 0 | — |
case-11 | fail→pass | 11,340 | 3,917 | -65% | 1 | 1 | 0% | 1,659 | 1,932 | +16% | 0 | 0 | — |
case-12 | fail→pass | 7,100 | 4,239 | -40% | 1 | 1 | 0% | 1,009 | 1,965 | +95% | 0 | 0 | — |
case-13 | fail→fail | 16,171 | 12,997 | -20% | 1 | 1 | 0% | 2,523 | 3,372 | +34% | 0 | 0 | — |
case-14 | fail→pass | 18,537 | 13,814 | -25% | 1 | 1 | 0% | 2,653 | 3,314 | +25% | 0 | 0 | — |
case-15 | fail→pass | 8,649 | 3,484 | -60% | 1 | 1 | 0% | 1,402 | 1,895 | +35% | 0 | 0 | — |
case-18 | fail→pass | 10,816 | 1,533 | -86% | 1 | 1 | 0% | 1,649 | 1,493 | -9% | 0 | 0 | — |
case-19 | pass→pass | 13,179 | 13,948 | +6% | 1 | 1 | 0% | 1,936 | 3,409 | +76% | 0 | 0 | — |
case-20 | pass→pass | 20,344 | 15,562 | -24% | 1 | 1 | 0% | 3,377 | 3,753 | +11% | 0 | 0 | — |
case-21 | pass→pass | 13,208 | 10,290 | -22% | 1 | 1 | 0% | 2,536 | 3,444 | +36% | 0 | 0 | — |
case-22 | pass→pass | 17,574 | 18,553 | +6% | 1 | 1 | 0% | 2,856 | 4,189 | +47% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +50 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.