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Give AI agents contextual awareness, safe sandboxes, and structured thought logs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "anthropic_skill" yet — see the docs or source repo.
Use anthropic_skill to run this Python debugging script in a sandbox, log each reasoning step, and summarize the error cause with fix suggestions: python app.py
Returns sandbox execution results, structured thought logs, and issue diagnosis with fixes.
Use anthropic_skill as my research agent, retain the requirements, constraints, and term definitions we discussed earlier, and continue with the next analysis plan based on that context.
Produces analysis that carries forward prior context without re-asking known information.
Use anthropic_skill to complete a code review task, keep a dedicated thought log, and give me a concise final report with issues found, risk levels, and suggested changes.
Generates a code review summary along with a traceable decision log.
Aggregate multiple MCP servers into one unified access point.
Search, audit, and install open-source AI skills and MCP servers.
Compile and serve skill definitions to AI agents via MCP.
Coordinate multiple AI agents on software projects with shared tasks and context.
Generate structured SKILL.md files on demand using a nine-phase skill guide.
Search, inspect, and install SkillsMP marketplace skills into coding agents.