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runbookrunbook 搜索

Agent Skill

runbook 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

198

周安装

8

GitHub Stars

1

下载量

62
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:runbook(runbook 搜索)
来源仓库:https://github.com/synapseradio/ai-skills
仓库路径:skills/runbook
安装命令:
npx skills add https://github.com/synapseradio/ai-skills --skill runbook
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/synapseradio/ai-skills --skill runbook

简介

runbook 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于操作流程查询、故障处理指南或标准作业程序(SOP)检索等研究检索类任务场景。
  • 通过关键词、任务描述或来源线索触发检索,返回结构化候选信息供进一步核验。
  • 安装命令为 npx skills add https://github.com/synapseradio/ai-skills --skill runbook。
  • 使用前建议确认权限范围、维护状态,以及是否会触发联网或文件读写操作。

SKILL.md

Runbook

Facilitate a structured alignment conversation, then produce the artifacts that seed an autonomous loop. The conversation surfaces intent; the artifacts encode it for unattended execution.

Two Phases

Track progress through alignment, gate check, seeding, and deployment using available task tracking tools.

Phase 1 — Alignment. Open-ended dialogue to decompose the user's intent into a concrete lens: what the loop looks for, what authority it consults, what scope it covers, what behavioral boundaries apply, and what success looks like. Actively probe for risks and no-gos.

Phase 2 — Seeding. Enter plan mode. Write the complete runbook artifacts (FOCUS.md, TASKS.md, LEARNINGS.md, loop prompt) into the plan file as a self-contained execution spec. Exit plan mode for user review. The plan must stand alone — a fresh session reads it and creates the files mechanically, with no alignment context.

Context Loading

Load references only when the current phase needs them.

PhaseLoadDo NOT Load
Alignmentreferences/alignment-guide.mdseeding-guide, loop-prompt, checklist
Gate checkreferences/checklist.mdalignment-guide, seeding-guide
Seedingreferences/seeding-guide.md, references/loop-prompt.mdalignment-guide, checklist

Phase 1: Alignment

Load references/alignment-guide.md and follow its protocol.

The alignment conversation surfaces seven elements:

  1. What — the work, decomposed to the level where a single lens applies
  2. Why — the motivation, so discovery can prioritize
  3. Lens — what the loop looks for or builds toward (feature requirements, style compliance, design improvements, security, performance, migration targets)
  4. Authority — what reference the loop consults (a PRD, design spec, style guide, issue tracker, architecture doc)
  5. Scope — directories, files, or areas in and out of bounds
  6. Success — what "done" looks like, concretely
  7. Mode — tight loop (default) or recursive decomposition (opt-in)

The alignment conversation also surfaces behavioral exclusions (no-gos) and risks as part of the scope and decomposition discussion. These are not separate elements — they emerge naturally from probing scope boundaries and hidden risks.

Use inline visualizations, scope diagrams, and AskUserQuestion for structured choices. Decompose vague intent into specific, testable goals.

Tight loop vs. recursive decomposition

Most work is a tight loop: one lens, one scope, grind until converged. This is the default.

Recursive decomposition is opt-in, for work that has independent sub-problems benefiting from separate lenses. When selected, the parent FOCUS.md seeds child FOCUS.md files, each scoped tighter. Children report outcomes upward via LEARNINGS.md. The parent aggregates.

Only propose recursive mode when the problem's structure demands it.

Exit conditions

Apply all three, in order:

  1. Convergence detection. Notice when questions stop producing new constraints. State this observation explicitly.
  2. Checklist gates. Load references/checklist.md. Validate every gate. Present pass/fail to the user.
  3. Explicit approval. Halt and request confirmation before seeding. Never seed without the user's "go."

Phase 2: Seeding

Load references/seeding-guide.md and references/loop-prompt.md.

Before entering plan mode, ask the user for:

  • Target directory for artifacts (FOCUS.md, TASKS.md, LEARNINGS.md)
  • Deployment preference (CronCreate with interval, save to file, display)

Enter plan mode. Write the plan file following the structure in references/seeding-guide.md. The plan file contains:

SectionContent
ContextWhy this loop exists — motivation and intended outcome
FOCUS.md → pathComplete FOCUS.md with all sections populated
TASKS.md → pathEmpty board skeleton
LEARNINGS.md → pathEmpty structured memory
Loop promptComplete prompt from references/loop-prompt.md
DeploymentUser's chosen deployment method

Exit plan mode for user review.

Nothing from the alignment conversation survives as conversational residue in the plan. The plan reads as if written by someone who already knew the requirements.

Rules

  1. Alignment is a conversation, not a form. Explore, reflect, let the user correct. Do not interrogate with a checklist upfront.
  2. Never seed without explicit approval. Checklist gates are necessary but not sufficient. The user's confirmation is the hard stop.
  3. Conversation content is ephemeral. Explanations, diagrams, and AskUserQuestion interactions from Phase 1 do not appear in the plan file. The plan stands alone.
  4. Default to tight loop. Only propose recursive decomposition when sub-problems are clearly independent.
  5. LEARNINGS.md is append-only. The loop writes, the user reads. Never overwrite or delete entries.
  6. Scope belongs in FOCUS.md, not the prompt. Keep the loop prompt generic. Keep specifics in the lens file.
  7. Resist adding machinery. If something can be a line in FOCUS.md instead of a feature in the prompt, put it in FOCUS.md.

Additional Resources

Reference Files

  • references/alignment-guide.md — Conversation protocol for Phase 1: decomposition techniques, question patterns, visualization approaches
  • references/checklist.md — Structured gate validating alignment completeness before seeding
  • references/seeding-guide.md — Artifact templates and production instructions for FOCUS.md, TASKS.md, LEARNINGS.md
  • references/loop-prompt.md — The autonomous loop prompt template, customizable per runbook

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.34%
按下载量换算21

Claude

30.94%
按下载量换算19

Cursor

19.89%
按下载量换算12

Gemini CLI

9.9%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

安装前确认

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来源信息

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