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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
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npx skills add https://github.com/tsinghua-fib-lab/AgentSociety --skill my-custom-skillEl comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
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Basado en la clasificación ocupacional SOC
Mostrando SKILL.md
| name | my-custom-skill |
| description | Example custom agent skill — a template to get started. |
This is a template for creating a custom agent skill.
There are two valid skill patterns in the current architecture:
No script field in frontmatter. This SKILL.md is injected into the LLM's context
when activate_skill is called. The LLM then uses built-in atomic tools
(read, write, append, list, grep, ask_env) to accomplish the task.
This is the primary extension mechanism — like Claude Code's slash commands.
Add script: scripts/my-script.py to frontmatter. The script is executed as a
cached in-process module via entrypoint(argv, ctx) when available, with dynamic
wrapper/subprocess fallback. It should communicate via the returned stdout string
and file I/O under ctx.workspace_root. Scripts cannot access the LLM or
environment router directly — use this only for deterministic computation.
When this skill is activated:
ask_env to query the environment for relevant information.read / write / append to persist state.execute_skill_script for deterministic computation when a script exists.finish with a summary when finished.When activated, the agent should:
ask_env with instruction: "What happened recently? Summarize recent events."read path journal.jsonl to load previous entries if it exists.append path journal.jsonl to add today's entry.finish with summary of what was journaled.