Search and discover existing Claude Code skills and MCP servers before building custom solutions.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionresource-scoutExecute the skills CLI command in your project's root directory to begin installation:
Fetches resource-scout from nicepkg/ai-workflow and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate resource-scout. Access via /resource-scout in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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:
# 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 |
# 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.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
resource-scout is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for resource-scout matched our evaluation — installs cleanly and behaves as described in the markdown.
resource-scout fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
resource-scout reduced setup friction for our internal harness; good balance of opinion and flexibility.
resource-scout has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: resource-scout is focused, and the summary matches what you get after install.
Keeps context tight: resource-scout is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added resource-scout from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: resource-scout is focused, and the summary matches what you get after install.
Useful defaults in resource-scout — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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