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/skill-governance-loop

Use when the user asks to review a skill, analyze skill quality, update or align a skill version, compare local state against a newer variant, or run a repeatable keep/enable/hide/disable/archive decision loop from real failures instead of abstract best practices.

BOOST
From plugin
ai-collab-playbook
45622 skills
Install
$ npx -y skills add cnfjlhj/ai-collab-playbook --skill skill-governance-loop --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/skill-governance-loop

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when the user asks to review a skill, analyze skill quality, update or align a skill version, compare local state against a newer variant, or run a repeatable keep/enable/hide/disable/archive decision loop from real failures instead of abstract best practices.

SKILL.md

skill-governance-loop.SKILL.md
name: skill-governance-loop
description: Use when the user asks to review a skill, analyze skill quality, update or align a skill version, compare local state against a newer variant, or run a repeatable keep/enable/hide/disable/archive decision loop from real failures instead of abstract best practices.

Skill Governance Loop

Overview

Use this skill for evidence-based governance of one skill or a small target set. It starts from a concrete problem, audits the skill, and ends with an explicit keep, enable, hide, disable, merge, split, or archive decision.

Rules

  • Start from a concrete case such as poor triggering, overlap, bloat, or a version update request.
  • Produce three outputs every time: the case, the audit, and the decision.
  • Separate static quality from observed usefulness; a pretty skill is not automatically a useful skill.
  • Use inventory tooling first when the scope is broad enough to need filesystem evidence.
  • For update or alignment requests, separate three questions explicitly: what changed upstream, whether the local copy should adopt it, and whether the resulting skill should be enabled, hidden, or left installed-but-off.
  • Record the next hypothesis so the next governance pass has a sharper starting point.

When to Use

Use when:

  • the user asks to review a skill, analyze skill quality, or update a skill version
  • a skill may need to be kept, disabled, merged, split, archived, or moved
  • the user wants a repeatable governance loop instead of one-off edits
  • the task is one skill or a small target set that needs version alignment, visibility changes, or an explicit keep vs enable vs hide decision

Do not use when:

  • the task is broad inventory scanning of many skills at once
  • the work is simple skill authoring with no governance decision
  • the request is only to discover whether a skill exists
Read more
Ships withai-collab-playbook

Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

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