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Agent Skill · 开发

td-task-management(TD 任务管理)

td-task-management 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。

td-task-management 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 14,297。

总安装 722周安装 31GitHub Stars 204下载 253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:td-task-management(TD 任务管理)
来源仓库:https://github.com/marcus/td
仓库路径:skills/td-task-management
安装命令:
npx skills add https://github.com/marcus/td --skill td-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/marcus/td --skill td-task-management

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

td-task-management 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发环境中进行任务管理。适用于围绕仓库状态、代码变更或协作事项进行信息整理。通过 npx skills add 命令从 GitHub 仓库安装使用。

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操作。可结合来源仓库和原始 README 继续核验具体用法和功能细节。

来源仓库内路径:skills/td-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/marcus/td --skill td-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

    它需要接触敏感数据,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

td-task-management 怎么安装?

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

td-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。

td-task-management 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

td-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。

td-task-management 用的人多吗?

公开数据是累计安装 722 次,近一周安装 31 次,下载 253 次,GitHub 204 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。

td-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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
td-task-management

TD 任务管理 · 本页

722204接触敏感数据未明确通过

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

td - Task Management for AI Agents

Overview

td is a minimalist CLI for tracking tasks and maintaining agent memory across context windows. When your AI session ends, td captures what was done, what remains, and what decisions were made—so the next session picks up exactly where the last one left off.

Core capability: Run td usage and get everything needed for the next action—current focus, pending reviews, open issues, recent decisions.

Quick Start

Session Start (Every Time)

td usage --new-session  # Auto-rotation + see current state

Output tells you:

  • Active work sessions and recent decisions
  • What issues are pending review (you can review these)
  • Highest priority open issues
  • Recent handoffs from previous sessions

Single-Issue Workflow

For focused work on one issue:

td start <issue-id>                    # Begin work
td log "OAuth callback implemented"    # Track progress
td log --decision "Using JWT tokens"   # Log decisions
td handoff <id> --done "..." --remaining "..."  # Capture state
td review <id>                         # Submit for review

Multi-Issue Workflow (Recommended for Agents)

For agents handling related issues:

td ws start "Auth implementation"      # Start work session
td ws tag td-a1b2 td-c3d4             # Associate issues (auto-starts them)
td ws tag --no-start td-e5f6          # Associate without starting
td ws log "Shared token storage"       # Log to all tagged issues
td ws handoff                          # Capture state, end session

Key Workflows

Workflow 1: Starting New Work

# 1. Check what to work on
td usage          # See current state
td next           # Highest priority open issue
td critical-path  # What unblocks most work

# 2. Start work
td start <id>

# 3. Begin logging
td log "Started implementation"

Workflow 2: Handing Off Work

This is critical for agent-to-agent handoffs:

td handoff <id> \
  --done "OAuth flow, token storage" \
  --remaining "Refresh token rotation, error handling" \
  --decision "Using JWT for stateless auth" \
  --uncertain "Should tokens expire on password change?"

Keys:

  • --done - What's actually complete (be honest)
  • --remaining - What's left (be specific)
  • --decision - Why you chose approach X
  • --uncertain - What you're unsure about

Next session will see all this context with td usage or td context <id>.

Workflow 3: Reviewing Code

# 1. See reviewable issues
td reviewable

# 2. Check details
td show <id>
td context <id>

# 3. Approve or reject
td approve <id>
# Or:
td reject <id> --reason "Missing error handling"

Important: You cannot approve work you implemented. Session isolation enforces this.

Workflow 4: Handling Blockers

# 1. Log the blocker
td log --blocker "Waiting on API spec from backend team"

# 2. Work on something else
td next              # Get another issue
td ws tag td-e5f6   # Add to work session

# 3. Come back to blocked issue later
td context td-a1b2  # Refresh context when blocker resolves

Commands by Category

Checking Status

  • td usage - Current state, reviews, next steps
  • td usage -q - Compact view (after first read)
  • td current - What you're working on
  • td ws current - Current work session state
  • td next - Highest priority open
  • td critical-path - What unblocks most work

Working on Issues

  • td start <id> - Begin work
  • td unstart <id> - Revert to open (undo accidental start)
  • td log "msg" - Track progress
  • td log --decision "..." - Log decision
  • td log --blocker "..." - Log blocker
  • td show <id> - View details
  • td context <id> - Full context for resuming

Handing Off

  • td handoff <id> --done "..." --remaining "..." - Single issue
  • td ws handoff - Multi-issue work session

Reviews

  • td review <id> - Submit for review
  • td reviewable - Issues you can review
  • td approve <id> - Approve (different session only)
  • td reject <id> --reason "..." - Reject

Creating/Managing Issues

  • td create "title" --type feature --priority P1 - Create
  • td create "title" --description-file body.md --acceptance-file acceptance.md - Agent-safe rich text
  • cat body.md | td update <id> --append --description-file - - Append rich text from stdin
  • td list - List all
  • td list --status in_progress - Filter by status
  • td block <id> - Mark as blocked
  • td delete <id> - Delete

File Tracking

  • td link <id> <files...> - Track files with issue
  • td files <id> - Show file changes

Other

  • td monitor - Live dashboard
  • td session --new "name" - Force new session
  • td undo - Undo last action

See quick_reference.md for full command listing.

Resources

quick_reference.md

Complete command reference organized by task type.

ai_agent_workflows.md

Detailed workflows for common AI agent scenarios:

  • Single-issue focus
  • Multi-issue work sessions
  • Handling blockers
  • Resuming work
  • Code review process
  • Tips for AI agents

Issue Lifecycle

open → in_progress → in_review → closed
         |              |
         v              | (reject)
     blocked -----------+

Key Principles

Session Isolation: Every terminal/context gets a unique session ID. The session that implements code cannot approve it. Different session must review. This forces actual handoffs and prevents "works on my context" bugs.

Structured Handoffs: Don't just say "here's what I did"—structure it with done/remaining/decisions/uncertain so next agent has clear context.

Minimal: Does one thing. Single binary, SQLite local storage (.todos/), no server, works with any AI tool.

For AI Agents

Always start conversation with:

td usage --new-session

This auto-rotates sessions and gives you current state. Then:

  1. Single focused issue → Use single-issue workflow
  2. Multiple related issues → Use td ws start for work sessions
  3. Before context ends → Always td handoff or td ws handoff
  4. Log decisions → Use --decision flag to explain reasoning
  5. Log uncertainty → Use --uncertain flag to mark unknowns
  6. Track files → Use td link so future sessions know what changed

See ai_agent_workflows.md for detailed examples.

平台分布

Codex

31.06%
按下载量换算79

Claude

30.85%
按下载量换算78

Cursor

20.06%
按下载量换算51

Gemini CLI

9.82%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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