Reusable capability modules

Skills

Skills are repeatable task modules for AI systems. They define a job, expected input/output, and where they fit in a workflow.

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automation

API Integration Mapping

Use MCP-enabled tooling to handle api integration mapping tasks with repeatable inputs and outputs. Built from observed capabilities in @upstash/context7-mcp, fastmcp, mcp-use.

Best for: Builders wiring multiple external services into MCP flows.

Level: intermediate

research

Browser Research Automation

Use MCP-enabled tooling to handle browser research automation tasks with repeatable inputs and outputs. Built from observed capabilities in firecrawl-mcp-server, exa-mcp-server, google_workspace_mcp.

Best for: Research and operations teams validating web signals.

Level: intermediate

docs

Workspace Knowledge Routing

Use MCP-enabled tooling to handle workspace knowledge routing tasks with repeatable inputs and outputs. Built from observed capabilities in google_workspace_mcp, @notionhq/notion-mcp-server.

Best for: Teams centralizing MCP-related team knowledge.

Level: beginner