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maintain-tasks维护任务

Agent Skill

maintain-tasks 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

282

周安装

12

GitHub Stars

27

下载量

99
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

3

许可证

MIT

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:maintain-tasks(维护任务)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/maintain-tasks
安装命令:
npx skills add https://github.com/outfitter-dev/agents --skill maintain-tasks
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/outfitter-dev/agents --skill maintain-tasks

简介

maintain-tasks 用于查找和筛选相关信息。

  • 适合在关键词搜索或任务场景中快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前应确认权限范围、维护状态及是否触发联网或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Task Management for Session Continuity

Tasks are your working memory that survives compaction. Use them to maintain intent, sequence, and coordination across the natural lifecycle of a session.

Tasks vs Issue Trackers

ToolPurposeScope
TasksSession/project working memoryCurrent effort, active coordination
Linear/GitHubTeam-visible project managementCross-session, multi-person tracking

Tasks are NOT a replacement for filing issues. They are your local execution state — what you're doing now, what comes next, who (which agent) is responsible.

Sync pattern:

  1. Pull work from Linear/GitHub into Tasks for execution
  2. Work through Tasks within the session
  3. Update Linear/GitHub at completion boundaries

Why Tasks Survive Compaction

When context compacts, conversation history gets summarized. But Tasks persist in full:

  • Task subjects and descriptions remain intact
  • Dependencies (blockedBy, blocks) preserved
  • Status (pending, in_progress, completed) preserved
  • Subagent assignments preserved (critical — see below)

This means after compaction, you can read TaskList and know exactly where you were, what's next, and who's responsible.

Subagent Assignment (Critical)

Always assign subagents explicitly in task subjects.

After compaction, nuanced instructions like "have the reviewer check this" can lose fidelity. Explicit assignment survives:

[engineer] Implement auth refresh endpoint
[reviewer] Review auth implementation for security
[tester] Validate auth flow end-to-end

The [agent-name] prefix is not decoration — it's recoverable intent. After compaction, you can scan TaskList and immediately know which agent handles each task.

Assignment Patterns

# Explicit agent assignment
[engineer] Build the feature
[analyst] Research the approach
[reviewer] Check for issues
[tester] Validate behavior

# Background agents (include task ID for retrieval)
[reviewer:background] Security audit (task-id: abc123)

# Resumable agents (include agent ID)
[analyst] Continue research (resume: a7227ac)

Task Dependencies

Use blockedBy and blocks to encode sequence:

Task 1: [analyst] Research auth patterns
Task 2: [engineer] Implement auth flow (blockedBy: 1)
Task 3: [reviewer] Review implementation (blockedBy: 2)
Task 4: [tester] Validate auth (blockedBy: 3)

After compaction, dependencies tell you what's actionable (no blockers) vs what's waiting.

Required Discipline

When Starting Work

  1. Check TaskList first — understand current state
  2. Create tasks for non-trivial work — 3+ steps means use Tasks
  3. Set status to in_progress before beginning
  4. Assign subagent explicitly in the subject

When Completing Work

  1. Mark completed immediately — don't batch
  2. Add discovered follow-ups as new tasks
  3. Check for unblocked tasks — completing one may unblock others

Before Compaction

As context fills, ensure Tasks reflect:

  • What's done (completed tasks)
  • What's active (single in_progress task)
  • What's discovered (new tasks from implementation)
  • What's blocked and why

Task Structure

Subject: [agent] Imperative action description
Description:
  - Context needed to execute
  - Acceptance criteria
  - Any constraints or considerations
ActiveForm: Present continuous for spinner ("Implementing auth flow")

Subject format: [agent-name] Verb the thing

  • [engineer] Implement JWT refresh logic
  • [reviewer] Audit auth module for vulnerabilities
  • [analyst] Research rate limiting approaches

Description includes:

  • Enough context for the assigned agent to proceed independently
  • Clear done criteria
  • Dependencies or blockers if not captured in blockedBy

Coordination Patterns

Sequential Handoff

1. [analyst] Research → creates findings
2. [engineer] Implement → uses findings (blockedBy: 1)
3. [reviewer] Review → checks implementation (blockedBy: 2)
4. [tester] Validate → confirms behavior (blockedBy: 3)

Parallel Execution

1. [engineer] Implement feature A
2. [engineer] Implement feature B
3. [tester] Integration tests (blockedBy: 1, 2)

Tasks 1 and 2 can run in parallel; Task 3 waits for both.

Iterative Refinement

1. [engineer] Initial implementation
2. [reviewer] Review round 1 (blockedBy: 1)
3. [engineer] Address feedback (blockedBy: 2)
4. [reviewer] Review round 2 (blockedBy: 3)

Anti-Patterns

Anti-PatternWhy It FailsBetter Approach
No agent assignmentLost after compactionAlways prefix with [agent]
Vague subjectsCan't recover intentSpecific, actionable subjects
Batching completionsState becomes staleMark done immediately
Skipping for "quick" tasksConsistency mattersIf 3+ steps, use Tasks
No dependenciesUnclear sequenceEncode with blockedBy

Rules

ALWAYS:

  • Assign subagent explicitly in task subject: [agent] Task description
  • Use dependencies to encode sequence
  • Mark in_progress before starting, completed when done
  • Check TaskList after compaction to recover state

NEVER:

  • Use Tasks as a replacement for Linear/GitHub issues
  • Leave multiple tasks in_progress simultaneously
  • Skip agent assignment ("the main agent will figure it out")
  • Batch task completions at end of work

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

github-copilot

29.43%
按下载量换算29

kilo

21.71%
按下载量换算21

windsurf

14.8%
按下载量换算15

zencoder

12.46%
按下载量换算12

amp

7.26%
按下载量换算7

cline

3.07%
按下载量换算3

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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