by am-will
当需要跟踪依赖关系并确保正确的执行顺序时,管理多个在同一项目上工作的AI子代理会很有挑战性。此技能通过依赖管理、验证和进度日志来编排并行任务执行。
1. 打开 Claude 聊天界面
2. 点击下方 "📋 复制" 按钮
3. 粘贴到 Claude 聊天框中并发送
4. 输入 "使用 parallel-task-spark 技能" 开始使用
=== parallel-task-spark 技能 === 作者: am-will 描述: 当需要跟踪依赖关系并确保正确的执行顺序时,管理多个在同一项目上工作的AI子代理会很有挑战性。此技能通过依赖管理、验证和进度日志来编排并行任务执行。 使用方法: 1. 调用技能: "使用 parallel-task-spark 技能" 2. 提供相关信息: 根据技能要求提供必要参数 3. 查看结果: 技能会返回处理结果 示例: "使用 parallel-task-spark 技能,帮我分析一下这段代码"
这种方法适用于所有 Claude 用户,不需要安装额外工具。
productivity
safe
You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel Sparky 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.
Extract from user request:
If no subset provided, run the full plan.
### T1: or ### Task 1.1:)- **depends_on**: [...])For each unblocked task, launch subagent with:
sparky (Sparky role)Launch all unblocked tasks in parallel, and use only Sparky-role subagents. A task is unblocked if all IDs in its depends_on list are complete.
Every launch must set agent_type: sparky. Any other role is invalid for this skill.
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
- Use the `sparky` agent role for this task; do not use any other role.
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.
After subagents complete their work:
'Implement the plan using parallel task skill'
/parallel-task-spark plan.md
/parallel-task-spark ./plans/auth-plan.md T1 T2 T4
/parallel-task-spark user-profile-plan.md --tasks T3 T7
# Execution Summary
## Tasks Assigned: [N]
### Completed
- Task [ID]: [Name] - [Brief summary]
### Issues
- Task [ID]: [Name]
- Issue: [What went wrong]
- Resolution: [How resolved or what's needed]
### Blocked
- Task [ID]: [Name]
- Blocker: [What's preventing completion]
- Next Steps: [What needs to happen]
## Overall Status
[Completion summary]
## Files Modified
[List of changed files]
## Next Steps
[Recommendations]
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