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Agent Skill · 研究检索

task-management(任务管理)

task-management 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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-management 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,权限为需要联网;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 30,940。

总安装 2,793周安装 113GitHub Stars 2下载 877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-management(任务管理)
来源仓库:https://github.com/jwilger/agent-skills
仓库路径:skills/task-management
安装命令:
npx skills add https://github.com/jwilger/agent-skills --skill task-management
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/jwilger/agent-skills --skill task-management

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。

task-management 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。可结合来源仓库和原始 README 继续核验具体用法。

安装命令:npx skills add https://github.com/jwilger/agent-skills --skill task-management 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写。

来源仓库内路径:skills/task-management

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/jwilger/agent-skills --skill task-management;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-management 怎么安装?

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

task-management 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-management 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-management 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-management 用的人多吗?

公开数据是累计安装 2,793 次,近一周安装 113 次,下载 877 次,GitHub 2 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-management 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
task-management

任务管理 · 本页

2,7932需要联网未明确通过

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

Task Management

Value: Communication and feedback. Breaking work into explicit, trackable units makes intent visible, progress measurable, and handoffs clean. Small tasks create short feedback loops that catch problems early.

Purpose

Teaches how to decompose work into well-structured tasks with clear acceptance criteria, manage dependencies between tasks, and track status through a consistent lifecycle. The outcome is a work breakdown where every task is unambiguous, appropriately scoped, and sequenced so nothing is blocked unnecessarily.

Practices

Decompose Top-Down, Execute Bottom-Up

Break large goals into progressively smaller tasks until each task represents a single deliverable outcome. Execute from the leaves up.

  1. Start with the goal (epic or feature)
  2. Identify 3-7 child tasks that together achieve the goal
  3. For each child, ask: can one agent complete this in one session? If no, decompose further
  4. Leaf tasks should take minutes to hours, not days

Example:

Epic: User Authentication
  Story: Registration flow
    Task: Create registration command handler
    Task: Build registration form component
    Task: Add email verification automation
  Story: Login flow
    Task: Create login command handler
    Task: Build login form component

Do:

  • Name tasks with a verb and an outcome ("Create registration handler")
  • Keep leaf tasks small enough for one focused session
  • Include acceptance criteria on every leaf task

Do not:

  • Create tasks so large that progress is invisible for hours
  • Decompose so finely that task overhead exceeds task work
  • Leave tasks as vague nouns ("Authentication" tells no one what to do)

Write Acceptance Criteria as Verifiable Statements

Every leaf task needs criteria that are binary: met or not met. Use Given/When/Then for behavior, checklists for deliverables.

  1. State what must be true when the task is done
  2. Each criterion is independently testable
  3. Include edge cases that matter

Example:

Task: Create registration command handler

Acceptance Criteria:
- [ ] Given valid registration data, when command is processed,
      then UserRegistered event is stored
- [ ] Given a duplicate email, when command is processed,
      then command is rejected with a clear error
- [ ] Given a password under 12 characters, when command is processed,
      then validation fails before reaching the handler

Do not:

  • Write criteria that require subjective judgment ("works well")
  • Omit error cases -- they are where bugs live
  • Copy-paste generic criteria across unrelated tasks

Declare Dependencies Explicitly

When task B cannot start until task A completes, declare the dependency. Use the dependency graph to find unblocked work.

  1. Before creating a task, ask: does this depend on another task's output?
  2. Record the dependency in whatever tool you are using
  3. Always query for unblocked/ready tasks rather than scanning the full list

Dependency patterns:

  • Sequential: Schema -> Repository -> Service -> API endpoint
  • Fan-out: One design task unblocks multiple implementation tasks
  • Fan-in: Multiple tasks must complete before integration testing

Do:

  • Keep dependency chains as short as possible -- long chains serialize work
  • Prefer parallel-safe decomposition (tasks that can run simultaneously)

Do not:

  • Create circular dependencies
  • Assume an implicit ordering -- make every dependency explicit
  • Block tasks unnecessarily (does B really need A, or just A's interface?)

Slice-to-Task Decomposition

When working from vertical slices with GWT (Given-When-Then) scenarios (e.g., from event modeling), decompose slices so that each task represents one testable behavior increment going through a full RED-GREEN-COMMIT cycle:

  1. Each GWT scenario becomes at least one task
  2. Each task = one TDD cycle: one failing test + its implementation + commit
  3. Order tasks by:

- Walking skeleton dependencies first -- infrastructure or plumbing that multiple scenarios need (each as its own TDD cycle) - Acceptance scenario tasks -- each scenario is a task that starts with the outermost failing test and completes through drill-down cycles

  1. Each task includes:

- Description: Verb + outcome (e.g., "Implement deposit scenario end-to-end via TDD") - Acceptance criteria: Directly from the GWT scenario - Estimated scope: Files likely affected (helps with mutation testing scoping)

Example:

Slice: "Customer deposits funds"
  Task 1: Walking skeleton — wire request-to-response path (RED: acceptance
    test hits endpoint and gets 404 → GREEN: route exists, returns stub →
    COMMIT)
  Task 2: Deposit scenario — deposit $100 into verified account (RED:
    acceptance test asserts balance increases → drill-down into command
    handler, event persistence, projection — each inner cycle is
    RED-GREEN-COMMIT within this task → outer acceptance test passes → COMMIT)

Anti-pattern: Do not create tasks that batch multiple types or behaviors into one RED phase followed by a separate GREEN phase — this is waterfall disguised as TDD. A task like "Create all domain types" followed by "Implement all handlers" splits phases across tasks instead of keeping each task as a complete TDD cycle.

Pipeline Tracking Metadata

When running in pipeline mode, tasks gain additional tracking fields:

  • slice_id -- Links the task to its originating vertical slice
  • gate_status -- pending, passed, or failed (reflects quality gate results)
  • rework_count -- Number of times the task returned from a quality gate failure

These fields are informational in standalone mode. In pipeline mode, the orchestrator uses them to track slice progress and detect tasks that are cycling through rework repeatedly.

Track Status Through a Consistent Lifecycle

Tasks move through a fixed set of states. Transitions are explicit.

Lifecycle: Open -> Active -> Closed

  1. Open: Task is defined and waiting. May be blocked by dependencies.
  2. Active: Work is in progress. Only one task should be active per agent at a time to maintain focus.
  3. Closed: Work is done and acceptance criteria are met. Always record why.

Rules:

  • Activate a task before starting work on it
  • Close a task only when all acceptance criteria are met
  • Provide a close reason for audit trail
  • If a task is abandoned, close it with the reason ("Superseded by X" or "No longer needed")

Adapt to Available Tools

This skill works with whatever task tracking is available. Detect and use the best option:

  1. Harness-native task tools (Claude Code TodoWrite, Codex tasks): Use them directly. They integrate with the agent's workflow.
  2. dot CLI (.dots/ directory): File-based, version-controlled. Use dot ready to find unblocked work. Close tasks on the feature branch before creating PRs.
  3. GitHub Issues: Use for cross-team visibility. Link PRs to issues.
  4. File-based fallback: Create a TASKS.md in the repo root. Use markdown checklists. Commit with changes.

The methodology (decompose, specify criteria, track dependencies, manage lifecycle) is the same regardless of tool. The tool is interchangeable; the discipline is not.

Enforcement Note

Advisory in all modes. Task structure and dependency tracking are self-enforced.

Hard constraints:

  • Close reason required when closing a task: [RC]

Constraints

  • "One active task per agent": Per agent means per execution context. In pipeline mode with parallel worktrees, each worktree is a separate context. A single human operator managing multiple worktrees is not violating this rule. A single agent context with multiple "active" tasks is.
  • Binary acceptance criteria: "Binary" means an outside observer could verify met/not-met without subjective judgment. "Code is clean" is not binary. "All functions are under 50 lines" is binary. "Tests pass" is binary. "Code follows best practices" is not. If you have to argue about whether a criterion is met, it's not binary.

See CONSTRAINT-RESOLUTION.md in the template directory for pipeline parallelization rules.

Verification

After completing work guided by this skill, verify:

  • Every unit of work has a corresponding task with acceptance criteria
  • No task was worked on while its dependencies were still open
  • Active tasks were limited to one at a time per agent
  • Closed tasks have a recorded reason
  • The task hierarchy is navigable (parent-child relationships are clear)
  • Remaining open tasks accurately reflect outstanding work

If any criterion is not met, revisit the relevant practice before proceeding.

Dependencies

This skill works standalone. For enhanced workflows, it integrates with:

  • tdd: Each task maps to one or more TDD cycles. Task acceptance criteria become the tests you write in the red phase. In automated mode, task dependencies inform how work is delegated across agents.
  • architecture-decisions: Major structural tasks should reference relevant ADRs.

Missing a dependency? Install with:

npx skills add jwilger/agent-skills --skill tdd

平台分布

Codex

36.19%
按下载量换算317

Claude

30.71%
按下载量换算269

Cursor

21.01%
按下载量换算184

Gemini CLI

9.04%
按下载量换算79

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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