Token导航 LogoToken导航TokenDH.com
前端设计需要联网github未标认证来源可访问许可证需确认审计提醒

task-plan任务计划

Agent Skill

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。

总安装

188

周安装

8

GitHub Stars

14

下载量

66
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: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

简介

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。

SKILL.md

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.

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

36.58%
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 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills