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Agent Skill · 研究检索

grove-issues(格罗夫问题)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

grove-issues 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,288。

总安装 1,435周安装 61GitHub Stars 4下载 503核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:grove-issues(格罗夫问题)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/grove-issues
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill grove-issues
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/autumnsgrove/groveengine --skill grove-issues

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

grove-issues 用于围绕 GitHub 仓库、Issue 和 Pull Request 提供协作辅助。适用于查询项目状态、整理变更或创建协作事项的场景。区分只读查询和写入操作,确认 token 权限和仓库范围。涉及私有仓库或推送分支时需用户授权。

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。

来源仓库内路径:skills/grove-issues

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/autumnsgrove/groveengine --skill grove-issues;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

grove-issues 怎么安装?

在终端执行 npx skills add https://github.com/autumnsgrove/groveengine --skill grove-issues。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

grove-issues 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

grove-issues 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

grove-issues 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

grove-issues 用的人多吗?

公开数据是累计安装 1,435 次,近一周安装 61 次,下载 503 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

grove-issues 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
grove-issues

格罗夫问题 · 本页

1,4354调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Grove Issues

Turn a brain dump into a clean issue backlog. You receive a messy list of TODOs and produce properly labeled, well-structured GitHub issues ready for the Lattice Kanban board.

When to Activate

  • User provides a batch of TODOs, tasks, or ideas in a single message
  • User explicitly calls /grove-issues
  • User says something like "create issues for these" or "turn these into tickets"
  • User pastes a list of things they want tracked

The Pipeline

Brain Dump → Parse → Deduplicate → Create Issues → Label → Report

Step 1: Parse the Brain Dump

Break the user's message into discrete, actionable issues. Each issue should represent ONE piece of work. If a TODO is too broad, split it. If two TODOs are the same thing, merge them.

Parsing signals:

  • Numbered lists → one issue per item
  • Bullet points → one issue per bullet
  • Paragraphs separated by newlines → one issue per paragraph
  • Comma-separated items → one issue per item
  • Stream-of-consciousness → use judgment to split at logical boundaries

Step 2: Check for Duplicates

Before creating any issue, search existing open issues for overlap:

gh issue list --state open --limit 100 --json number,title | jq -r '.[].title'

If a TODO matches an existing issue closely, skip it and note the existing issue number in your report. Don't create duplicates.

Step 3: Determine Labels

Each issue gets up to 3 labels:

Component Labels (pick 1-3)
LabelWhen to Apply
latticeFramework, monorepo, shared infrastructure, engine package
heartwoodAuth, sessions, passkeys, OAuth, identity
arborAdmin panel, backend API, admin dashboard
amberImages, CDN, R2 storage, JXL, media pipeline
clearingStatus page, health monitoring, uptime
shadeAI crawler protection, bot defense, rate limiting
plantPricing, billing, LemonSqueezy, storefront, signup
ivyEmail, Resend, notifications, messaging
foliageTheming, design tokens, per-tenant customization
curioMuseum exhibits, content display, guestbook
meadowSocial features, community feed
forestsForest page, community groves, property showcase
vineContent relationships, margin notes, connections
graftFeature flags, gradual rollout, A/B testing
petalContent moderation, CSAM detection, PhotoDNA
lumenAI assistant, LLM routing, AI gateway
myceliumMCP servers, inter-service networking
patinaBackups, cold storage, data preservation
landingLanding site, marketing pages, knowledge base
Pattern Labels (pick 0-2, in addition to component labels)

Patterns are reusable architectural solutions. Apply when the issue involves implementing or extending a pattern.

LabelWhen to Apply
pattern:fireflyEphemeral server infrastructure (ignite, illuminate, fade lifecycle)
pattern:loomDurable Objects coordination (SessionDO, TenantDO, PostDO)
pattern:prismGlassmorphism design system, seasonal theming, UI layers
pattern:sentinelLoad testing, scale validation, ramp-up testing
pattern:songbirdPrompt injection protection (canary, kestrel, robin layers)
pattern:thresholdRate limiting, abuse prevention, graduated response
Type Labels (pick exactly 1)
LabelWhen to Apply
bugSomething is broken or wrong
featureNew capability that doesn't exist yet
enhancementImprovement to existing functionality
securitySecurity concern, vulnerability, hardening
documentationDocs, guides, help articles
Priority (only if explicitly stated by user)

Don't guess priority. Only apply if the user explicitly says something is urgent, critical, or low-priority.

Step 4: Write the Issue Body

Use this template for every issue:

## Summary
[1-3 sentences describing what needs to be done and why]

## Acceptance Criteria
- [ ] [Specific, verifiable criterion]
- [ ] [Another criterion]
- [ ] [Keep to 3-6 items]

## Context
- [Relevant technical context]
- [Dependencies or related issues if known]
- [Any constraints mentioned by the user]

Writing guidelines:

  • Summary should answer "what" and "why" in plain language — a non-engineer should understand the first sentence
  • Acceptance criteria should be checkbox items that can be verified as done/not-done
  • Context is optional but helpful — this is where technical detail (file paths, patterns, acronyms) belongs
  • Keep the whole body under 20 lines. Concise beats comprehensive.
  • Don't pad with boilerplate. If there's no useful context, skip that section.

Step 5: Create the Issues

gh issue create \
  --title "Title in imperative mood" \
  --body "$(cat <<'EOF'
## Summary
...

## Acceptance Criteria
- [ ] ...

## Context
- ...
EOF
)" \
  --label "component1,type1"

Title guidelines:

  • Plain language first — write for the project owner scanning a board, not for the implementer
  • Imperative mood: "Add X" not "Adding X" or "X should be added"
  • Format: Service: what happens in plain english (e.g., "Plant: fix broken image on pricing page")
  • Under 60 characters when possible
  • No [FEATURE] or [BUG] prefixes (labels handle categorization)
  • No jargon or acronyms that aren't Grove service names — no HMR, PKCE, DO, SSR, CSRF, etc. in titles. Spell it out or rephrase in plain language. (Technical detail belongs in the body.)
  • Self-check: Read each title and ask: *"Would I immediately understand this on a board with 100 other issues, without clicking into it?"* If not, rewrite it.

Good vs. bad titles:

Bad (jargon-heavy)Good (plain language)
Hybrid dev mode: HMR + service binding fidelityDev mode: support live reload alongside real service bindings
Thorn behavioral: finish remaining wiringThorn: connect remaining rate-limit and label checks
Graduate Reeds (comments) out of greenhouseReeds: make comments a full production feature
Implement Queen coordinator Durable ObjectQueen: build the coordinator that manages background workers

Step 6: Report Back

After creating all issues, give the user a summary table:

Created X issues:

| # | Title | Labels |
|---|-------|--------|
| #531 | Add glass overlay to Forest page | forests, enhancement |
| #532 | Fix tooltip positioning on mobile | lattice, bug |
...

Skipped (duplicates of existing issues):
- "Cache purge tool" → already tracked in #527

Edge Cases

Vague TODOs

If a TODO is too vague to create a good issue ("fix the thing", "make it better"), ask the user for clarification rather than creating a bad issue. Group vague items and ask once.

Huge Batches (20+)

For very large batches, create issues in groups of 10 to avoid rate limiting. Pause between batches.

Mixed Priorities

If the user marks some items as urgent/first-focus vs backlog, note this in Context but don't apply priority labels unless they use explicit priority language.

Implementation Details in the Brain Dump

If the user includes HOW to do something (not just WHAT), capture those details in the Context section. The acceptance criteria should still focus on the outcome, not the approach.


Anti-Patterns

Don't do these:

  • Don't create issues with only a title and no body
  • Don't apply more than 3 component labels (if it touches everything, it's probably lattice)
  • Don't guess at acceptance criteria you can't verify. "Works well" is not a criterion. "Renders correctly on mobile viewport" is.
  • Don't create issues for things that are already done
  • Don't pad issues with generic criteria like "code is well-documented" or "tests pass"
  • Don't add priority-critical unless the user explicitly says something is critical/urgent

Example

User says:

ok so I need to: fix the broken image on the pricing page, add a dark mode toggle to the knowledge base, wire up the new health endpoint for blog-engine, and eventually we should think about adding RSS feeds to meadow

You create:

  1. "Fix broken image on pricing page" — plant, bug
  2. "Add dark mode toggle to knowledge base" — landing, enhancement
  3. "Wire health endpoint for blog-engine into Clearing" — clearing, feature
  4. "Add RSS feed support to Meadow" — meadow, feature

Each with proper Summary, Acceptance Criteria, and Context.


*A clean backlog is a calm mind. Turn the chaos into clarity.*

平台分布

Codex

35.63%
按下载量换算179

Claude

28.55%
按下载量换算144

Cursor

20.16%
按下载量换算101

Gemini CLI

8.87%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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