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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
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npx skills add https://github.com/davis7dotsh/my-pi-setup --skill subagentsLa commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.
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Affichage de SKILL.md
Basé sur la classification professionnelle SOC
| name | subagents |
| description | invoke this skill when the user asks you to use subagents |
Each subagent is headless, has its own context window, cannot see the parent conversation, cannot ask the user, and cannot spawn subagents or workflows. Give every child a self-contained prompt with paths, constraints, and the expected report.
Harness: pi
Prompt nicknames: “pi”, “pi agent”, “pi subagent”
Best default: Use when the user does not request another harness. It inherits the parent model and thinking level when model or reasoning_effort is omitted.
Do not use models from the Anthropic provider even if one appears in the model list.
Pi can use any model shown by pi --list-models. Prefer provider/model-id; a bare model id only works when unambiguous. Common picks in this environment:
| Model | Recommended effort |
|---|---|
| inherited parent model (default) | inherited |
openai-codex/gpt-5.6-sol | high |
openai-codex/gpt-5.6-terra | high |
opencode/claude-fable-5 | medium |
Thinking budgets: off, minimal, low, medium, high, xhigh, max. These map directly to pi thinking levels.
Harness: claude
Prompt nicknames: “claude”, “Claude Code”, “claude agent”, “claude subagent”, "cc"
Best default: use the latest fable model on high reasoning. Do not default to anything else, if the user does not specify, use fable.
| Model hint | Model | Recommended effort |
|---|---|---|
fable | latest Claude Fable | high |
Thinking budgets: off, minimal, low, medium, high, xhigh, max. The extension maps these to Claude thinking-token budgets: 0, 1,024, 4,096, 10,000, 16,000, 32,000, and 63,999 tokens respectively.
Requires Claude Code to be installed and authenticated.
Harness: codex
Prompt nicknames: “codex”, “Codex CLI”, “codex agent”, “codex subagent”
Best default: gpt-5.6-sol with high effort for coding work. Do not use anything other than sol unless the user specifically asks for it.
| Model | Recommended effort |
|---|---|
gpt-5.6-sol | high |
gpt-5.6-terra | high |
gpt-5.6-luna | high |
Thinking budgets accepted by the extension: off, minimal, low, medium, high, xhigh, max. Codex maps these to the nearest effort supported by the selected model; off/minimal become minimal, while max becomes the highest extension-supported Codex effort.
Requires the Codex CLI to be installed and authenticated.
Call subagent_spawn with a complete prompt, short name, chosen harness, and optional working_dir, model, and reasoning_effort. At most four subagents run concurrently.
subagent_check({ id }): peek without blocking.subagent_list(): list all runs.subagent_wait({ ids }): block only when results are required to proceed.subagent_cancel({ ids }): stop runs while preserving partial transcripts./subagents: inspect or take over a run interactively.Results return automatically. After spawning, continue useful parent work instead of immediately waiting.