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Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
npx skills add https://github.com/davis7dotsh/my-pi-setup --skill subagentsDer Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.
Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.
Basierend auf der SOC-Berufsklassifikation
SKILL.md wird angezeigt
| 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.