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Agent Skill · 研究检索

taskmaster(taskmaster 搜索)

taskmaster 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。

taskmaster 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 68,166。

总安装 235周安装 10GitHub Stars 1下载 82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:taskmaster(taskmaster 搜索)
来源仓库:https://github.com/hjdyzy/aicoding-cookbook
仓库路径:skills/taskmaster
安装命令:
npx skills add https://github.com/hjdyzy/aicoding-cookbook --skill taskmaster
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/hjdyzy/aicoding-cookbook --skill taskmaster

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。

taskmaster 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于关键词搜索、任务场景匹配或来源线索梳理等研究检索场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围、维护状态,避免触发联网或文件读写操作。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/taskmaster

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/hjdyzy/aicoding-cookbook --skill taskmaster;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

taskmaster 怎么安装?

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

taskmaster 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。

taskmaster 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。

taskmaster 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。

taskmaster 用的人多吗?

公开数据是累计安装 235 次,近一周安装 10 次,下载 82 次,GitHub 1 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。

taskmaster 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
taskmaster

taskmaster 搜索 · 本页

2351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

Taskmaster — v5 Task Protocol

Purpose

Taskmaster is the default execution protocol for multi-step Codex work. v5 keeps the existing Debug-First core while expanding the skill into three task shapes:

  • Single Task — one deliverable, one shared context
  • Epic Task — multiple child tasks with dependencies
  • Batch Task — homogeneous row-level work executed through spawn_agents_on_csv

Core Principles

  1. The current truth artifact on disk wins over memory.
  2. No step, subtask, or batch row becomes DONE without explicit validation.
  3. Keep verbose reasoning in PROGRESS.md, EPIC.md, or batch output files, not in the chat.
  4. Keep failures visible. Do not silently downgrade to manual or serial execution.
  5. Keep planning CSVs and batch worker CSVs separate.
  6. Build for Codex-only recovery: a cold restart must be resumable from files alone.

Shape Router

ShapeUse whenTruth artifactsExample
Single TaskOne deliverable with shared contextTODO.csv or SPEC.md + TODO.csv + PROGRESS.mdFix one OAuth redirect bug
Epic TaskMultiple deliverables, modules, or dependency chainsEPIC.md + SUBTASKS.csv + PROGRESS.mdShip billing dashboard across API, UI, docs
Batch TaskSame instruction template across independent rowsTODO.csv + batch/BATCH.md + workers-input.csv + workers-output.csvAudit 80 Markdown files for frontmatter

Router Rules

  • Start with Single Task when the user wants one deliverable and progress can stay in one shared context.
  • Promote to Epic Task when one TODO.csv starts carrying phases, subprojects, or independent deliverables.
  • Use Batch Task only when rows are independent, share one instruction template, and success can be expressed in structured output fields.
  • An Epic Task can contain single-compact, single-full, or batch child tasks.
  • A Batch Task must not be used for heterogeneous roles, cross-row dependencies, or shared write scopes.

Single Task

Single Task preserves backward compatibility with the old LITE/FULL behavior by supporting two execution profiles.

Compact Single

Use Compact Single when the task is short, linear, and does not need recovery logs or cached research artifacts.

  • Files: project-root TODO.csv only
  • Template: compact_todo_template.csv
  • Status set: TODO | IN_PROGRESS | DONE
  • Best for: short documentation edits, tiny cleanup passes, quick rename tasks

Compact Single example:

id,task,status,completed_at,notes
1,Locate root cause,IN_PROGRESS,,
2,Implement fix,TODO,,
3,Run verification,TODO,,

Full Single

Use Full Single for all code changes, long-running tasks, or any work that must survive a context reset. This is the default single-task path.

  • Files: .codex-tasks/<task-name>/SPEC.md, TODO.csv, PROGRESS.md, raw/
  • Templates:

- SPEC_TEMPLATE.md - PROGRESS_TEMPLATE.md - todo_template.csv - perf_todo_template.csv

  • Status set: TODO | IN_PROGRESS | DONE | FAILED
  • Best for: code implementation, bug fixes, refactors, multi-hour work

Full Single directory example:

.codex-tasks/20260313-auth-fix/
├── SPEC.md
├── TODO.csv
├── PROGRESS.md
└── raw/

Single Task Rules

  • Re-read the active TODO.csv before every new step.
  • Keep TODO.csv leaf-level only. Do not store phases, child projects, or batch rows there.
  • Use echo SKIP only when validation cannot be automated, and record why.
  • If retries hit 5, change strategy explicitly or promote the task shape.

Epic Task

Epic Task is the parent coordination shape for large work that spans multiple deliverables or dependency chains.

  • Files:

- .codex-tasks/<epic-name>/EPIC.md - .codex-tasks/<epic-name>/SUBTASKS.csv - .codex-tasks/<epic-name>/PROGRESS.md - .codex-tasks/<epic-name>/tasks/<child-task>/...

  • Templates:

- EPIC_TEMPLATE.md - subtasks_template.csv

  • Status set: TODO | IN_PROGRESS | DONE | FAILED
  • Best for: multi-module features, staged refactors, long projects with clear child deliverables

Epic directory example:

.codex-tasks/20260313-billing-epic/
├── EPIC.md
├── SUBTASKS.csv
├── PROGRESS.md
└── tasks/
    ├── 20260313-api/
    ├── 20260313-frontend/
    └── 20260313-docs/

Epic workflow:

  1. Define the global goal and delivery boundary in EPIC.md.
  2. Register child tasks in SUBTASKS.csv with task_type, dependencies, and task_dir.

- depends_on: use ; to list multiple dependency IDs (e.g., 1;2). Empty means no dependency.

  1. Execute each child task with its own Single or Batch protocol.
  2. Bubble child validation back to SUBTASKS.csv and parent PROGRESS.md.
  3. Close the Epic only when all child rows are DONE and the final validation passes.

Use Epic instead of a single TODO.csv when one task file starts reading like project management instead of execution.

Batch Task

Batch Task is for homogeneous row-level work that should be executed through spawn_agents_on_csv. It can be a standalone task or a child inside an Epic.

  • Files:

- .codex-tasks/<task-name>/SPEC.md - .codex-tasks/<task-name>/TODO.csv for 3-5 high-level steps - .codex-tasks/<task-name>/PROGRESS.md - .codex-tasks/<task-name>/batch/BATCH.md - .codex-tasks/<task-name>/batch/workers-input.csv - .codex-tasks/<task-name>/batch/workers-output.csv - .codex-tasks/<task-name>/raw/

  • Templates:

- BATCH_TEMPLATE.md - workers_input_template.csv - workers_output_template.csv

  • Best for: bulk file audits, bulk metadata updates, structured per-row analysis

Batch directory example:

.codex-tasks/20260313-doc-audit/
├── SPEC.md
├── TODO.csv
├── PROGRESS.md
├── batch/
│   ├── BATCH.md
│   ├── workers-input.csv
│   └── workers-output.csv
└── raw/

Batch Eligibility Checklist

Only use Batch Task when all of the following are true:

  • One instruction template can describe every row.
  • Rows are independent and can be retried independently.
  • Output can be expressed as structured fields in output_schema.
  • Writes are disjoint, or the batch is read-only.

Batch Lifecycle

  1. Identify a parent TODO.csv step that is truly row-level and homogeneous.
  2. Create batch/BATCH.md and define:

- instruction template - id_column - output_schema - max_workers - max_runtime_seconds - output_csv_path

  1. Build workers-input.csv from real artifacts, not from plan steps.
  2. Run spawn_agents_on_csv with explicit id_column, output_schema, max_workers, max_runtime_seconds, and output_csv_path.
  3. Inspect workers-output.csv. Failed rows remain visible and may be retried with a filtered input CSV.
  4. Merge the aggregate result into parent PROGRESS.md and only then mark the parent step DONE.

Example Batch step sequence:

id,task,status,acceptance_criteria,validation_command,completed_at,retry_count,notes
1,Build workers-input.csv,IN_PROGRESS,batch/workers-input.csv exists,test -f batch/workers-input.csv,,0,
2,Run spawn_agents_on_csv,TODO,batch/workers-output.csv exists,test -f batch/workers-output.csv,,0,
3,Merge row results,TODO,Failed rows are handled and summary is written,test -f PROGRESS.md,,0,

Mixed Shapes

  • A Single Task can promote to Epic when one execution stream stops being coherent.
  • A Single or Epic child step can delegate homogeneous work to Batch.
  • Use the current layer's truth file only:

- TODO.csv for step planning - SUBTASKS.csv for child-task state - workers-output.csv for row results

Mid-Task Shape Promotion

When complexity outgrows the current shape, promote in-place:

Single → Epic
  1. Create .codex-tasks/<task-name>/EPIC.md from the existing SPEC.md goal.
  2. Convert remaining TODO.csv rows into child task entries in SUBTASKS.csv.
  3. Move the original SPEC.md, TODO.csv, PROGRESS.md into tasks/<original-task>/ as the first child.
  4. Create new child directories for the additional deliverables.
  5. Log the promotion reason in the parent PROGRESS.md.
Single/Epic Step → Batch
  1. Identify the TODO.csv or SUBTASKS.csv row that is actually N homogeneous items.
  2. Replace it with a 3-step Batch sequence: build input → run workers → merge results.
  3. Create batch/ directory with BATCH.md and workers-input.csv.
  4. The parent step stays IN_PROGRESS until the batch merge completes.
  5. Log the delegation in PROGRESS.md.

Validation Rules

  • Re-read the active truth file before every new step.
  • No parent task can claim success while a child subtask or batch row still fails its merge criteria.
  • Keep retry counts explicit.
  • Keep raw fetched material under raw/ for Full, Epic, and Batch shapes.
  • If the work is heterogeneous, use a dedicated multi-agent flow instead of forcing it into Batch.

Context Recovery Protocol

Use the smallest artifact set that fully restores state:

  • Compact Single: read TODO.csv, resume from the first non-DONE row.
  • Full Single: read SPEC.md, TODO.csv, then the PROGRESS.md recovery block.
  • Epic Task: read EPIC.md, SUBTASKS.csv, parent PROGRESS.md, then the current child task directory.
  • Batch Task: read SPEC.md, TODO.csv, batch/BATCH.md, batch/workers-output.csv, then the PROGRESS.md recovery block.

Every recovery message must include:

  1. 任务: goal
  2. 形态: single-compact | single-full | epic | batch
  3. 进度: X/Y
  4. 当前: current step, child task, or failed row set
  5. 文件: active truth artifact path
  6. 下一步: exact next action

Output Contract

Every status update must include:

  1. 任务: one-line goal
  2. 形态: current task shape
  3. 进度: X/Y steps or rows complete
  4. 当前: active step, child task, or batch stage
  5. 验证: latest validation command and result
  6. 文件: active task directory or truth artifact

References

平台分布

Codex

37.41%
按下载量换算31

Claude

27.43%
按下载量换算22

Cursor

20.24%
按下载量换算17

Gemini CLI

10.4%
按下载量换算9

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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