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groove-work-compound凹槽工作化合物

Agent Skill

groove-work-compound 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

4,823

周安装

203

GitHub Stars

4

下载量

1,689
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:groove-work-compound(凹槽工作化合物)
来源仓库:https://github.com/andreadellacorte/groove
仓库路径:skills/groove-work-compound
安装命令:
npx skills add https://github.com/andreadellacorte/groove --skill groove-work-compound
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/andreadellacorte/groove --skill groove-work-compound

简介

groove-work-compound 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

groove-work-compound

Scope

"This conversation" means the full chat thread (all messages in the same chat where the user invoked compound). Lessons and compound actions come from work done or decided anywhere in that thread.

In scope:

  • Work done earlier in the same chat: other skill runs (e.g. /ppp-weekly-report, /groove-work-plan), file or bean edits, decisions, review or planning discussion.
  • Any bean or work item the user or the thread refers to as part of the workflow (e.g. the epic or task this compound stage belongs to). Use those to ground lessons and actions.

Not in scope unless the user asks: Daily memory, weekly summaries, or other docs (e.g. "compound on the whole day").

If no other work is visible in the context when compound runs (e.g. the turn only shows the compound request): ask which session or work to compound on (e.g. "I only see the compound request. Which session should I compound on — e.g. the PPP run above, or something else?") instead of concluding "no work discussed."

Outcome

Lessons, root causes, and fixes are documented. Relevant project files are updated (rules, templates, docs, task bodies). A checklist of compound actions with done/pending status is produced.

Acceptance Criteria

  • Lessons are documented with root cause analysis (not just what went wrong, but why)
  • Relevant project files are updated: rules files, templates, docs, task bodies
  • Checklist is produced with each action marked done or pending
  • If user frustration patterns were detected, they are specifically captured
  • "No new lessons" is an explicit acceptable outcome — capture it rather than skipping

Constraints

  • Read tasks.backend from .groove/index.md; memory path is always .groove/memory/
  • Before producing the compound actions checklist, check for open mistake incidents via /groove-utilities-memory-mistakes --list:

- If open incidents exist: process each using the log → fix → audit → resolve cycle from /groove-utilities-memory-mistakes before moving on - Add to compound checklist: "mistakes: N incident(s) resolved → learned/" (done/pending) - If no open incidents: skip silently

  • Output goes into existing project files — do not create new files unless necessary
  • Always run even if it seems like "nothing to capture" — capture that explicitly
  • Compound actions checklist must include why each action matters, not just what it is
  • If user showed repeated fixes, confusion, or rework: capture the pattern and its trigger
  • Create stage task in backend if tasks.backend!= none via /groove-utilities-task-create with a descriptive title so multiple compounds per day are distinct: YYYY-MM-DD, Compound — <brief topic> (topic from the work just closed, e.g. release, feature, or session summary). Do not number stages in task titles.
  • After producing the compound actions checklist, identify any lesson that is about AI workflow, agent behaviour, tool usage, or engineering process — not specific to the codebase or product
  • If any such lesson is found:

- Propose: "Workflow learning detected — add to.groove/memory/learned/.md?" - Suggest a topic name based on the content (e.g. patterns, tools, anti-patterns, hooks) - Wait for user to confirm, pick a different topic, or skip - If confirmed: append the lesson as a bullet under a ## <YYYY-MM-DD> heading in the file; create the file with a # <Topic> heading if it does not exist; create the dated heading if absent - Add to compound checklist: "workflow learning →.groove/memory/learned/.md" (done/pending)

  • If no workflow lessons, skip this step entirely — no prompt, no noise
  • If a workflow learning was captured locally AND groovebook: is set in .groove/index.md: add a one-line suggestion after the checklist: "Learning captured → .groove/memory/learned/<topic>.md. Publish to groovebook? Run /groove-groovebook-publish." If groovebook: is absent: skip silently.
  • After a workflow learning is captured, offer graduation: "Is this lesson stable enough to apply to every future session? Run /groove-utilities-memory-graduate <topic> to promote it to AGENTS.md permanently." — only suggest if the lesson was just confirmed, not every compound run.
  • After the workflow learning step, scan the conversation for deferred items — phrases like "we'll come back to", "do this later", "next time", "TODO", "skip for now", "won't fix today". If any are found: list them and ask "Capture any of these as promises? (numbers, or enter to skip)" — for each confirmed item, run /groove-utilities-memory-promises <text>. If none found: skip silently.
  • After the workflow learning step, prompt for an optional session rating:

- Ask: "Rate this session (1–5): how well did the compound loop serve you? (enter to skip)" - If the user provides a rating: append to .groove/memory/learned/signals.md under a table; create the file with a header and table header row if it does not exist - Format: | YYYY-MM-DD | <rating>/5 | <one-line context from the session topic> | - If the user skips: do not mention it again

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

36.23%
按下载量换算612

Claude

28%
按下载量换算473

Cursor

19.1%
按下载量换算323

Gemini CLI

8.18%
按下载量换算138

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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