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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.
Equip AI agents with persistent skills and secure executable scripting.
Use AI planning and execution to analyze files and automate multi-step tasks.
Standardize tool discovery, execution, and context management for AI apps.
Search, load, and manage AI agent skills from SkillDB directly.
Provide local developer context to AI agents for faster, safer initialization.
Expose reusable team skills to MCP agents via package.json configuration.