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Agent Skill · 前端设计

plannotator(plannotator 命令行)

plannotator 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。

plannotator 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 2,658。

总安装 2,022周安装 81GitHub Stars 11下载 654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:plannotator(plannotator 命令行)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/plannotator
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill plannotator
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/akillness/oh-my-skills --skill plannotator

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

plannotator 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息,协助完成代码审查流程。适用于打开最小化视觉审查路径,作为计划制定与 UI 标记之间的审批节点。不负责整体规划或 PR 政策判断,而是聚焦于具体变更的可视化审核。

安装前应确认对外部 API 的访问权限及是否允许执行浏览器自动化操作。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。

来源仓库内路径:skills/plannotator

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/akillness/oh-my-skills --skill plannotator;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

    它需要操作浏览器,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

plannotator 怎么安装?

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

plannotator 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。

plannotator 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

plannotator 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。

plannotator 用的人多吗?

公开数据是累计安装 2,022 次,近一周安装 81 次,下载 654 次,GitHub 11 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。

plannotator 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
plannotator

plannotator 命令行 · 本页

2,02211操作浏览器未明确未通过

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

plannotator

Use this skill when the job is to classify one review packet, open the smallest honest visual review path, and leave broad planning / PR policy / UI critique work outside the front door.

plannotator is not the planner. It is the human approval gate that sits between:

  • plan/spec creation (task-planning, ralph)
  • orchestration/runtime ownership (jeo, vibe-kanban, bmad)
  • broader PR/code judgment (code-review)
  • rendered-UI bug markup (agentation)
  • clean browser verification (agent-browser)

Read these support docs first:

When to use this skill

  • A coding agent already produced an implementation plan and a human must approve or request changes before coding starts.
  • A concrete git diff, commit range, or PR exists and the reviewer wants browser-based line-targeted feedback.
  • A markdown artifact such as a spec, PRD, architecture note, or generated plan package needs visual review and revision feedback.
  • The user needs to connect plannotator to Claude Code, Gemini CLI, Codex CLI, or OpenCode and the main job is setup for the review loop.
  • The review flow exists but remote mode, stable URLs/ports, or platform-specific behavior is flaky and needs targeted troubleshooting.

When not to use this skill

  • The main job is writing or refining the plan/spec itself → task-planning, ralph, or survey
  • The main job is broad PR policy, merge criteria, risk judgment, or code-owner approval → code-review
  • The main job is exact rendered-UI critique that should drive frontend fixes → agentation
  • The main job is clean disposable browser automation or deterministic website verification → agent-browser
  • The main job is task orchestration, board state, or multi-agent routing → jeo, vibe-kanban, bmad
  • The main job is note taxonomy, wiki curation, or long-term note-system management → obsidian, llm-wiki

Instructions

Step 1: Classify the review packet first

Normalize the request into one primary packet before discussing commands.

plannotator_intake:
  primary_packet: plan-review | diff-review | markdown-review | platform-setup | troubleshooting
  artifact_ready: yes | no
  artifact_type: plan | git-diff | pr | markdown-spec | generated-response | unknown
  platform: claude | gemini | codex | opencode | mixed | unknown
  trigger_mode: native-hook | manual-review | unknown
  feedback_goal: approve | request-changes | annotate | archive | unknown
  repo_context: git-repo | markdown-only | remote-container | unknown
  confidence: high | medium | low

Default to the smallest obvious interpretation:

  • existing implementation plan → plan-review
  • existing code changes / PR / commit range → diff-review
  • existing spec or markdown artifact → markdown-review
  • install/integration question → platform-setup
  • flaky remote/browser/status issue → troubleshooting

Step 2: Verify the concrete artifact exists

plannotator only helps once something concrete can be reviewed.

Checklist:

  1. A plan, diff, PR, markdown file, or generated response already exists.
  2. The user wants review, not plan generation.
  3. For diff review, a git repo, PR URL, or explicit commit range exists.
  4. For markdown/spec review, the file or generated artifact is identifiable.
  5. For note export, save/integration is configured; treat it as secondary, not the main packet.

If the artifact is missing, route out instead of forcing the review tool.

Step 3: Choose exactly one review packet

Use the router in references/intake-packets-and-route-outs.md and pick one primary packet:

  • plan-review
  • diff-review
  • markdown-review
  • platform-setup
  • troubleshooting

List anything else as follow-up, not as a co-owner.

Step 4: Run the chosen packet

  • Plan review → confirm the runtime can hand the plan into plannotator, use the native/hook path when real, annotate one issue per step, and end with approve, request changes, or archive/save.
  • Diff review → use a concrete target and launch the smallest diff packet: bash scripts/review.sh bash scripts/review.sh HEAD~1 bash scripts/review.sh main...HEAD
  • Markdown review → confirm the spec/PRD/architecture file exists, use annotation/review mode directly, and be explicit when the runtime only supports annotation rather than a stronger approval path.
  • Platform setup → start with: bash scripts/install.sh bash scripts/check-status.sh then use references/platform-setup.md.
  • Troubleshooting → start with: bash scripts/check-status.sh bash scripts/configure-remote.sh then use references/notes-and-troubleshooting.md.

Step 5: Keep manual-vs-hook reality explicit

  • Claude and Gemini are the clearest native/hook-driven plan-review fits.
  • Codex has public hooks, but upstream plannotator still documents the practical path as manual diff/markdown review or partial setup.
  • OpenCode users explicitly asked for more manual control when auto-invocation is too eager.

Do not flatten this into “all platforms work the same.”

Step 6: Route adjacent work aggressively

  • planning/spec creation or refinement → task-planning, ralph, survey
  • orchestration state or multi-agent routing → jeo, vibe-kanban, bmad
  • broad PR policy, merge gating, or risk judgment → code-review
  • rendered UI bug markup → agentation
  • clean disposable browser verification → agent-browser
  • note/vault/wiki administration beyond saving reviewed artifacts → obsidian, llm-wiki

Step 7: Use a short output contract

Preferred output:

# plannotator Review Packet
- Primary packet:
- Artifact:
- Platform + trigger mode:
- Next action:
- Outcome or limitation:
- Route-outs:

For setup-heavy asks, use a short setup brief with:

  • platform
  • native-hook vs manual-review status
  • install commands
  • verification steps
  • caveats

Examples

Example 1: Approve a concrete plan

Input

The agent already proposed a 6-step implementation plan. I want to inspect it visually and either approve it or send corrections back before coding starts.

Good output direction

  • choose plan-review
  • verify the plan already exists
  • use the runtime's real review surface
  • annotate one issue per step
  • end with approve vs request-changes
  • route plan creation back out if the plan is still immature

Example 2: Review a diff

Input

The agent already changed three files. Open the visual diff review for main...HEAD and let me leave targeted feedback.

Good output direction

  • choose diff-review
  • verify git context / diff range
  • use bash scripts/review.sh main...HEAD
  • keep broader PR-policy review routed to code-review

Example 3: Review a PRD/spec artifact

Input

I want to mark up this architecture note and either accept it as-is or send revision feedback before we continue.

Good output direction

  • choose markdown-review
  • verify the markdown artifact exists
  • explain whether the current platform supports native approval or manual annotation only
  • keep note export secondary and route wiki/vault management outward

Example 4: Codex setup reality check

Input

Set up plannotator for Codex so I can review plans before code runs.

Good output direction

  • choose platform-setup
  • start with install + status verification
  • explain the current Codex manual/partial reality honestly instead of promising parity that upstream docs do not show
  • route broad hook/platform policy work outward if needed

Best practices

  1. Treat plannotator as a visual approval gate, not the planning engine.
  2. Review one concrete artifact at a time.
  3. Keep manual-review vs native-hook differences explicit.
  4. Use one annotation per issue whenever possible.
  5. End with a clear outcome: approve, request changes, annotate only, or archive.
  6. Keep note export secondary to the review packet.
  7. Route PR policy, orchestration, and rendered-UI critique to neighboring skills instead of stretching plannotator.

References

平台分布

Codex

33.83%
按下载量换算221

Claude

32.68%
按下载量换算214

Cursor

19.42%
按下载量换算127

Gemini CLI

10.26%
按下载量换算67

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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