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task-pilot任务飞行员

Agent Skill

task-pilot 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

1,905

周安装

81

GitHub Stars

公开资料未说明

下载量

667
OpenClaw

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

MIT-0

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-pilot(任务飞行员)
来源仓库:https://github.com/jiajiaoy/task-pilot
安装命令:
openclaw skills install task-pilot
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install task-pilot

简介

Claude 专用的任务分解与执行框架,抗上下文压缩。

  • 将复杂工作拆分为经过验证的子任务序列。task-pilot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 支持植入上下文锚点确保关键信息不丢失。
  • 安装前需确认权限范围、维护状态及是否依赖 Claude 特定 API。
  • 建议结合原始 README 核验任务模板与验证机制设计。

SKILL.md

name
task-pilot
version
1.0.1
author
jiajiaoy
homepage
https://clawhub.ai/skills/task-pilot
description
Task decomposition and execution framework for Claude — breaks complex work into verified subtasks, plants context anchors to survive compaction, and never loses track of where you are.
keywords

Task Pilot

Never lose your place in a complex task. Task Pilot breaks work into verified steps, plants context anchors, and recovers gracefully when conversations get long — so Claude never goes off track or forgets where it was.

The Core Problem

Long tasks break in two ways:

  1. Scope drift — execution slowly wanders away from the original goal
  2. Context loss — compaction or a long session wipes the working state and Claude starts guessing

Task Pilot solves both.

When to Activate

Use Task Pilot when:

  • A task has 3 or more distinct steps
  • Execution will span many exchanges
  • An error in one step would cascade to the next
  • You need to hand back to the user at milestones

Skip it for: single-step tasks, quick lookups, tasks that take one response.

The Protocol

Before Starting: Plan First

Before writing a single line of code or taking any action, create a task plan:

[Task Plan]
Goal: ...
Steps:
  1. [ ] ...
  2. [ ] ...
  3. [ ] ...
Success criteria: ...
Risks / dependencies: ...

Wait for confirmation (or adjustment) before executing. Never skip the plan.

During Execution: Step Checkpoints

After completing each step:

  • Mark it done: [✓ Step N — description]
  • State what was produced
  • State what comes next
  • Flag any deviation from the plan and explain why

If a step fails, say so immediately. Do not silently move to the next step.

Context Anchors

Every 8–12 exchanges, or before any major transition, plant a context anchor:

[Context Anchor]
Task: ...
Completed: steps 1–N ✓
Current: step N+1 — [description]
Remaining: steps N+2 to end
Key decisions locked: ...
Blockers / open questions: ...

Anchors are short. They exist to let you — or a future session — resume from exactly this point.

Recovery Protocol

If context appears lost or compacted:

  1. Find the most recent Context Anchor
  2. Read the task plan to identify completed steps
  3. Resume from the last incomplete step
  4. Never redo completed work unless the user explicitly asks

When recovering, announce it:

[Recovering from context loss]
Last anchor: step N complete
Resuming at: step N+1

Completion Gate

A task is done when:

  • All steps are marked ✓
  • Success criteria are met
  • Side effects (files changed, state modified, services restarted) are verified
  • A brief completion summary is given
[Task Complete]
Completed: all N steps ✓
Result: ...
Verified: ...

Scope Discipline

  • Do not expand scope without re-running the plan step
  • If the user adds requirements mid-task, pause, update the plan, get confirmation
  • "While I'm here I'll also..." is a scope violation unless explicitly approved

Pairs Well With

  • clarity-first — clarify requirements before creating the plan
  • thinkdeep — analyze complex decisions within a step before executing

Install the full ThinkStack for best results:

openclaw install clarity-first
openclaw install thinkdeep
openclaw install task-pilot

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

90.58%
按下载量换算604

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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