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task任务管理

Agent Skill

task 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。

总安装

489

周安装

21

GitHub Stars

2

下载量

171
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(任务管理)
来源仓库:https://github.com/laststance/skills
仓库路径:skills/task
安装命令:
npx skills add https://github.com/laststance/skills --skill task
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/laststance/skills --skill task

简介

task 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。

  • 适用于任务管理、工作流协调等项目管理场景。
  • 通过关键词输入触发搜索,返回结构化结果列表供进一步处理。
  • 安装前需确认权限范围和维护状态,注意可能涉及联网和数据读取操作。
  • task 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Task — Systematic Implementation Workflow

Standard 5-phase workflow for all implementation tasks with built-in quality gates.

<essential_principles>

Serena Think Checkpoints (Mandatory)

Call the following Serena tools at the specified points. Never skip them.

CheckpointToolWhenPurpose
Adherence Gatemcp__serena__think_about_task_adherenceBefore each code edit in Phase 3Confirm still aligned with original task
Completion Gatemcp__serena__think_about_whether_you_are_doneBefore exiting Phase 4 (Verify)Confirm all work is truly complete

After Phase 1 and again after Phase 2, do a short information sufficiency self-check in prose (requirements understood, relevant code located, plan covers acceptance criteria and verification). If gaps remain, gather more context before continuing—do not rely on a removed Serena tool.

Introspection Markers (Always Active)

Use these markers throughout all phases to make reasoning visible:

  • 🤔 Reasoning — "🤔 The error suggests a missing dependency"
  • 🎯 Decision — "🎯 Choosing approach A over B because..."
  • ⚡ Performance — "⚡ This query may cause N+1"
  • 📊 Quality — "📊 Checking consistency with existing patterns"
  • 💡 Insight — "💡 This pattern can be reused for..."

Safety Rules

  • Before destructive operations (delete, overwrite, reset): Always confirm with user
  • Before code edits: Call think_about_task_adherence
  • Never auto-commit: Phase 5 waits for user instruction to commit/push
  • Quality gate required: Phase 4 must pass before Phase 5

</essential_principles>

Phase 1: Investigate

Understand the task and gather context.

  1. Parse task requirements from user input
  2. Read relevant code files (Grep, Read, Serena symbolic tools)
  3. Check external libraries with Context7 if needed
  4. Identify existing patterns and conventions
  5. Information sufficiency self-check — Confirm you understand the task, have seen the relevant code paths, and know project conventions well enough to plan. If not, keep reading or ask the user before Phase 2.

Tools: Grep, Read, Glob, mcp__serena__find_symbol, mcp__serena__get_symbols_overview, mcp__context7__query-docs

Phase 2: Plan

Break down the task and design the approach.

  1. Create task breakdown with TodoWrite
  2. Identify parallelizable steps: Plan: 1) Parallel [Read A, B] → 2) Edit → 3) Parallel [Test, Lint]
  3. Save plan to Serena Memory: mcp__serena__write_memory("plan_<topic>", content)
  4. Plan completeness self-check — Confirm the plan and todos cover acceptance criteria, edge cases, and how you will verify the change. Revise the plan if anything important is missing.

Output: TodoWrite entries with clear acceptance criteria per step.

Phase 3: Implement

Execute the plan with continuous adherence checks.

For each implementation step:

  1. Mark TodoWrite item as in-progress
  2. 🔶 think_about_task_adherence — Still on track?
  3. Edit code (Edit, Write)
  4. Use introspection markers (🤔🎯⚡📊💡) to explain reasoning
  5. Mark TodoWrite item as complete

Rules:

  • No // TODO: implement later — write working code
  • No mock objects outside tests
  • Follow existing code patterns and conventions
  • Confirm with user before destructive operations

Phase 4: Verify

Run quality checks and validate correctness.

Standard Verification (always)

Run in parallel where possible:

# Parallel execution
pnpm lint &
pnpm typecheck &
pnpm test &
pnpm build &
wait

If any check fails → investigate root cause → fix in Phase 3 → re-verify.

--frontend-verify (when flag is provided)

Visual verification across platforms. Auto-detect platform from package.json:

DependencyPlatformPreflightVerification Tool
*(default)*Webkill-port <port> && pnpm devagent-browser (open --headed, snapshot -i, screenshot)
electronElectronpnpm electron:dev/electron skill (agent-browser based Electron operation)
expo / react-nativeMobilemcp__ios-simulator__open_simulatoriOS Simulator MCP (screenshot, ui_tap, ui_swipe)
commander / inquirer / oclifCLIshell sessionShellwright MCP (TUI/CLI operation and output verification)

Frontend Verify Workflow:

  1. Preflight: Start dev server / app, confirm MCP connection
  2. Scenario creation: Design test scenarios based on changes, save to Serena Memory
  3. Execute: Run each scenario, take screenshot after each step
  4. Judge: All pass → continue. Any fail → return to Phase 3

Authentication for Frontend Verify

When verifying authenticated apps (SaaS dashboards, admin panels, OAuth-protected pages), use agent-browser's auth persistence:

StrategyCommandUse Case
state save/loadagent-browser state save auth.jsonSession cookies + localStorage. Best for most web apps
--profile <dir>agent-browser open <url> --profile./browser-dataFull Chromium user data dir. Best for complex OAuth (Google, GitHub SSO)
auth saveagent-browser auth save <name> --url <login-url>Encrypted credential store. Best for CI/shared environments

OAuth Flow:

  1. agent-browser open <login-url> --headed (must be headed for OAuth redirects)
  2. Complete OAuth manually or via snapshot -i + fill + click
  3. agent-browser state save auth.json to persist session
  4. Future runs: agent-browser state load auth.json before navigating to app

Security:

  • Add auth.json, browser-data/ to .gitignore
  • auth save uses AES-256-GCM encryption via AGENT_BROWSER_ENCRYPTION_KEY env var
  • State files auto-expire after 30 days
  • Use --headed for initial OAuth setup (redirects require visible browser)

Completion Gate

🔶 think_about_whether_you_are_done — Is everything truly complete?

Phase 5: Complete

Report results and wait for user instruction.

  1. Present verification summary to user:

- What was changed (files, functions) - Test results - Screenshots (if --frontend-verify)

  1. Update TodoWrite — mark all items complete
  2. ⏸️ Wait for user instruction to commit/push
  3. On user confirmation: git commit && git push

Quick Reference

/task fix the login button styling
/task add dark mode support --frontend-verify
/task refactor the API error handling

Phase Flow Diagram

[Investigate] → 🔶 info gate
     ↓
  [Plan] → 🔶 info gate
     ↓
[Implement] → 🔶 adherence gate (per edit)
     ↓
 [Verify] → 🔶 completion gate
     ↓
[Complete] → ⏸️ wait for user → commit/push

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

35.46%
按下载量换算61

Claude

30.28%
按下载量换算52

Cursor

19.37%
按下载量换算33

Gemini CLI

9.1%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

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。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

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