AGENT SKILL

agent-deck-playbooks

Use when a task matches a bound-deck playbook trigger, or when the user corrects output produced from a playbook. Fetch playbooks; propose patches from corrections.

License 许可
Apache-2.0
最近更新
2026-11-14
Stars
★ 1.6k
Forks
490

01 前言 Front Matter

name
agent-deck-playbooks
description
Use when a task matches a bound-deck playbook trigger, or when the user corrects output produced from a playbook. Fetch playbooks; propose patches from corrections.

03 SKILL.md 正文

Agent Deck playbooks

  1. On task match: check triggers on get_bound_deck, then get_playbook before improvising. Playbook bodies live on the deck — do not mirror them into local skills.

When the user corrects your output (the write trigger — no need to have called get_playbook earlier in the session):

Update case (a playbook covered this task): fix the output, then get_playbook and read openPatches. If an open proposal addresses the same lesson, pass its id(s) in supersedes and fold into one better propose_playbook_patch (do not file a sibling). If open patches are different problems, omit supersedes. Prefer one add_item to Gotchas/Checklist; include evidence.user_feedback_excerpt as a short verbatim quote of the correction.

Genesis case (no playbook covered the task): before ending, propose_playbook_patch { kind: "create", new_playbook: { title, triggers, body with one gotcha } } — a few lines is the right size.

Defer when unsure (kind: "signal_only"): if the correction is plausible but not yet clearly generalizable (edge case, one-off, or needs sibling corrections before the lesson is clear), call propose_playbook_patch { kind: "signal_only", evidence, rationale } — logs the signal with no patch proposal. Prefer immediate update/create when the lesson is clear.

Curate from a pasted dashboard prompt: when the user pastes a curation prompt from the Feedback table (/feedback-signals → Copy for agent; Markdown + YAML list, each row leads with id), group the signals, then propose_playbook_patch with consolidated ops and signal_ids of every consumed id. That links rows (still open) until the patch is accepted. Do not invent a list-feedback MCP tool — browse/discard is dashboard-only.

  1. Explicit user-directed playbook edits ("fix the playbook to say X"): direct update_playbook is dashboard-only — use propose_playbook_patch with rewrite_body unless they will apply the edit in the dashboard themselves.

  2. Tell the user in one line that a proposal was filed (or a signal was logged for later dashboard curation); review happens in the dashboard.

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