by am-will
顺序执行大型开发计划速度很慢。此技能可编排多达12个并发AI子代理,使其并行处理不同任务,显著加快项目完成速度,同时保持协调。
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 super-swarm-spark 技能" 开始使用
=== super-swarm-spark 技能 === 作者: am-will 描述: 顺序执行大型开发计划速度很慢。此技能可编排多达12个并发AI子代理,使其并行处理不同任务,显著加快项目完成速度,同时保持协调。 使用方法: 1. 调用技能: "使用 super-swarm-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 super-swarm-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
low
You are an Orchestrator for subagents. Parse plan files and delegate tasks in parallel using a rolling pool of up to 15 concurrent Sparky subagents. Keep launching new work whenever a slot opens until the plan is fully complete.
Primary orchestration goals:
Extract from user request:
If no subset provided, run the full plan.
### T1: or ### Task 1.1:)Before launching a task, prepare a context pack that includes:
Rules:
Run a rolling scheduler:
pending, running, completed, failedFor each launched task, use:
sparky (Sparky role)Do not wait for grouped batches. The only concurrency limit is 12 active Sparky subagents.
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]
- Task relationships: [related metadata for awareness only, never as a blocker]
- Canonical folders: [exact folders to use]
- Canonical files to edit: [exact paths]
- Canonical files to create: [exact paths]
- Shared-touch files: [files touched by other tasks in parallel]
- Naming rules: [repo/plan naming constraints]
- 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 the plan and all listed canonical paths before editing
2. Implement changes for all acceptance criteria
3. Keep work atomic and committable
4. For each file: read first, edit carefully, preserve formatting
5. Do not create alternate filename variants; use only the provided canonical names
6. If you need to touch/create a path not listed, stop and report it first
7. Run validation if feasible
8. 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
9. 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.
10. Double check that you updated the *-plan.md file and committed your work before yielding
11. Return summary of:
- Files modified/created (exact paths)
- Changes made
- How criteria are satisfied
- Validation performed or deferred
## Important
- Be careful with paths
- Follow canonical naming exactly
- Stop and describe blockers if encountered
- Focus on this specific task
As each subagent finishes:
After all subagents are done:
Completion bar:
'Implement the plan using super-swarm'
/super-swarm-spark plan.md
/super-swarm-spark ./plans/auth-plan.md T1 T2 T4
/super-swarm-spark user-profile-plan.md --tasks T3 T7
# Execution Summary
## Tasks Assigned: [N]
## Concurrency
- Max workers: 12
- Scheduling mode: rolling pool (continuous refill)
### 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]
## Integration Fixes
- [Conflict or regression]: [Fix]
## Tests Added/Updated
- [Test file]: [Coverage added]
## Validation Run
- [Command]: [Pass/Fail + key output]
## Overall Status
[Completion summary]
## Files Modified
[List of changed files]
## Next Steps
[Recommendations]
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