parallel-task — 并行任务执行 parallel-task, claude-skill-registry, community, 并行任务执行, ide skills, 任务依赖解析, 日志更新, CLI工具, Python开发, 任务执行优化, Claude Code

v1.0.0

关于此技能

适用于需要高效并行任务执行和子代理编排的多任务代理。 并行任务执行器是一种通过解析任务依赖和更新日志来实现任务执行的技术

功能特性

任务依赖解析
日志更新
并行任务执行
CLI集成
Python支持

# 核心主题

majiayu000 majiayu000
[0]
[0]
更新于: 2/20/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
65
Canonical Locale
en
Detected Body Locale
en

适用于需要高效并行任务执行和子代理编排的多任务代理。 并行任务执行器是一种通过解析任务依赖和更新日志来实现任务执行的技术

核心价值

赋予代理解析计划文件、使用任务依赖项将任务委托给并行子代理的能力,并确保正确的执行顺序,利用编排模式并在每个任务完成后使用任务循环和依赖管理等协议更新计划文档。

适用 Agent 类型

适用于需要高效并行任务执行和子代理编排的多任务代理。

赋予的主要能力 · parallel-task

复杂任务工作流的子代理编排
计划文件的解析用于自动任务委托
依赖关系解析的并行任务执行管理

! 使用限制与门槛

  • 需要具有定义的任务依赖关系的计划文件
  • 仅限于基于子代理的架构
  • 依赖于正确的任务依赖关系配置

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

parallel-task 是什么?

适用于需要高效并行任务执行和子代理编排的多任务代理。 并行任务执行器是一种通过解析任务依赖和更新日志来实现任务执行的技术

如何安装 parallel-task?

运行命令:npx killer-skills add majiayu000/claude-skill-registry/parallel-task。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

parallel-task 适用于哪些场景?

典型场景包括:复杂任务工作流的子代理编排、计划文件的解析用于自动任务委托、依赖关系解析的并行任务执行管理。

parallel-task 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

parallel-task 有哪些限制?

需要具有定义的任务依赖关系的计划文件;仅限于基于子代理的架构;依赖于正确的任务依赖关系配置。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add majiayu000/claude-skill-registry/parallel-task。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    parallel-task 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

parallel-task

了解如何使用并行任务执行器来优化任务执行效率,实现任务依赖解析和日志更新

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Parallel Task Executor

You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel subagents using task dependencies, in a loop, until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed.

Process

Step 1: Parse Request

Extract from user request:

  1. Plan file: The markdown plan to read
  2. Task subset (optional): Specific task IDs to run

If no subset provided, run the full plan.

Step 2: Read & Parse Plan

  1. Find task subsections (e.g., ### T1: or ### Task 1.1:)
  2. For each task, extract:
    • Task ID and name
    • depends_on list (from - **depends_on**: [...])
    • Full content (description, location, acceptance criteria, validation)
  3. Build task list
  4. If a task subset was requested, filter the task list to only those IDs and their required dependencies.

Step 3: Launch Subagents

For each unblocked task, launch subagent with:

  • description: "Implement task [ID]: [name]"
  • prompt: Use template below

Launch all unblocked tasks in parallel. A task is unblocked if all IDs in its depends_on list are complete.

Task Prompt Template

You are implementing a specific task from a development plan.

## Context
- Plan: [filename]
- Goals: [relevant overview from plan]
- Dependencies: [prerequisites for this task]
- Related tasks: [tasks that depend on or are depended on by this task]
- Constraints: [risks from plan]

## Your Task
**Task [ID]: [Name]**

Location: [File paths]
Description: [Full description]

Acceptance Criteria:
[List from plan]

Validation:
[Tests or verification from plan]

## Instructions
1. Examine working plan and any relevant or dependent files
2. Implement changes for all acceptance criteria
3. Keep work **atomic and committable**
4. For each file: read first, edit carefully, preserve formatting
5. Run validation if feasible
6. **ALWAYS mark completed tasks IN THE *-plan.md file AS SOON AS YOU COMPLETE IT!** and update with:
    - Concise work log
    - Files modified/created
    - Errors or gotchas encountered
7. Commit your work
   - Note: There are other agents working in parallel to you, so only stage and commit the files you worked on. NEVER PUSH. ONLY COMMIT.
8. Double Check that you updated the *-plan.md file and committed your work before yielding
9. Return summary of:
   - Files modified/created
   - Changes made
   - How criteria are satisfied
   - Validation performed or deferred

## Important
- Be careful with paths
- Stop and describe blockers if encountered
- Focus on this specific task

Ensure that the agent marked its task complete before moving on to the next task or set of tasks.

Step 4: Check and Validate.

After a wave of subagents complete their work:

  1. Inspect their outputs for correctness and completeness.
  2. Validate the results against the expected outcomes.
  3. If the task is truly completed correctly, ENSURE THAT TASK WAS MARKED COMPLETE WITH LOGS.
  4. If a task was not successful, have the agent retry or escalate the issue.
  5. Ensure that that wave of work has been committed to github before moving on to the next wave of tasks.

Step 5: Repeat

  1. Review the plan again to see what new set of unblocked tasks are available.
  2. Continue launching unblocked tasks in parallel until plan is done.
  3. Repeat the process until all* tasks are both complete, validated, and working without errors.

Error Handling

  • Task subset not found: List available task IDs
  • Parse failure: Show what was tried, ask for clarification

Example Usage

/parallel-task plan.md
/parallel-task ./plans/auth-plan.md T1 T2 T4
/parallel-task user-profile-plan.md --tasks T3 T7

Execution Summary Template

markdown
1# Execution Summary 2 3## Tasks Assigned: [N] 4 5### Completed 6- Task [ID]: [Name] - [Brief summary] 7 8### Issues 9- Task [ID]: [Name] 10 - Issue: [What went wrong] 11 - Resolution: [How resolved or what's needed] 12 13### Blocked 14- Task [ID]: [Name] 15 - Blocker: [What's preventing completion] 16 - Next Steps: [What needs to happen] 17 18## Overall Status 19[Completion summary] 20 21## Files Modified 22[List of changed files] 23 24## Next Steps 25[Recommendations]

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