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Agent Skill · 前端设计

task-plan(任务计划)

task-plan 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。

task-plan 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,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 9,985。

总安装 188周安装 8GitHub Stars 14下载 66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:task-plan(任务计划)
来源仓库:https://github.com/connorads/dotfiles
仓库路径:skills/task-plan
安装命令:
npx skills add https://github.com/connorads/dotfiles --skill task-plan
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/connorads/dotfiles --skill task-plan

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。

task-plan 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,需结合原始 README 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操作。task-plan 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/task-plan

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/connorads/dotfiles --skill task-plan;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

    它需要需要联网,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

task-plan 怎么安装?

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

task-plan 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。

task-plan 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

task-plan 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。

task-plan 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 14 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。

task-plan 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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
task-plan

任务计划 · 本页

18814需要联网未明确有提醒

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

Task Plan

Turn any input source into a structured backlog that an agent can execute one task at a time in an automated loop. Each task is self-contained, verifiable, and completable in a single iteration.

When to use

Invoke when the user has an input source (PRD, design feedback, issue list, requirements doc, or verbal description) and wants it decomposed into executable tasks. The output is a backlog.md file — a flat task list with dependency graph and priority ordering.

Process

1. Understand the input

Accept input as a file path, URL, pasted text, or verbal description. If none provided, interview the user:

  • What are you trying to build or change?
  • What does the end state look like?
  • What exists today?
  • What constraints matter (timeline, tech stack, compatibility)?

Interview deeply — understand intent, not just surface requirements. The quality of the backlog depends on understanding the why.

2. Explore the codebase

Before decomposing, explore the codebase to understand:

  • Existing patterns and conventions
  • Architecture and integration layers
  • What already exists that tasks can build on
  • Testing patterns and verification infrastructure

Tasks that ignore existing code lead to rework. An agent executing a task should extend the codebase, not fight it.

3. Surface durable decisions

Identify decisions that span multiple tasks and are unlikely to change:

  • Route structures / URL patterns
  • Schema shapes and data models
  • Key architectural boundaries
  • Third-party service interfaces
  • Shared component patterns

These go in a ## Decisions section at the top of the backlog so every task can reference them without repeating context.

4. Ask about reference material

Ask the user: "Are there docs, skills, or reference material that will help an agent execute these tasks?"

Examples:

  • A Figma workflow doc for design tasks
  • API documentation for integration tasks
  • A testing guide for the project
  • An existing skill relevant to the tech stack

These go in the backlog's reference table so the executing agent knows where to look.

5. Decompose into vertical slices

Break the input into tasks. Each task is a thin vertical slice through all relevant layers (model, logic, API, UI, tests), not a horizontal layer.

Apply these heuristics — read references/task-quality.md for details:

The one-iteration test: Can a fresh agent session complete this task in one loop iteration (~30 min)? If not, split it.

The one-commit test: Does this task produce exactly one coherent commit? If it would need multiple commits, split. If it's too small to commit alone, merge with a sibling.

The cold-start test: Does the task contain enough context (file paths, current state, what to change, how to verify) that an agent with no session memory can execute it? If not, add more detail.

The revert test: Could this commit be reverted cleanly, removing exactly one meaningful thing? If reverting would orphan code or break something unrelated, the task isn't self-contained.

6. Structure each task

Each task needs all of these fields:

  • ID — short prefix + number (e.g. AU-1, DB-3). Prefix groups related tasks (CC = cross-cutting, AU = auth, UI = interface, etc.)
  • Title — what changes, not how
  • Size — XS (< 10 min), S (10-20 min), M (20-40 min), L (40+ min). If L, strongly consider splitting
  • Deps — task IDs this depends on, or "none"
  • Problem — what's wrong or missing (the why)
  • What to do — concrete steps with file paths and current state
  • Acceptance criteria — observable outcomes, not implementation details
  • Verification — exact commands to run and what to check. Can reference global verification rules or be task-specific
  • Files — paths that will be touched

Read references/backlog-format.md for the full template.

7. Add dependency graph and priority order

Draw the dependency graph as a text diagram showing which tasks unblock others. Group tasks into phases where tasks within a phase can be executed in parallel (no mutual dependencies).

Priority order should generally be:

  1. Cross-cutting / foundation tasks (unblock many others)
  2. Quick wins (XS tasks, batch together)
  3. Feature phases (grouped by domain area)
  4. Polish and documentation

8. Quiz the user

Present the proposed breakdown as a summary. Ask:

  • Does the granularity feel right? (too coarse / too fine)
  • Should any tasks be merged or split?
  • Are the dependencies correct?
  • Is the priority order right?
  • Anything missing?

Iterate until approved, then write the file.

9. Write the backlog

Write to the path specified by the user (default: TASKS/<name>/backlog.md). Create the directory if needed.

If the user plans to use /task-loop next, mention that the backlog is ready for loop scaffolding.

平台分布

Codex

36.58%
按下载量换算24

Claude

29.74%
按下载量换算20

Cursor

18.12%
按下载量换算12

Gemini CLI

11.03%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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