Managing multiple related GitHub issues sequentially wastes time. This skill enables running several AI coding agents simultaneously using git worktrees, breaking large features into parallel waves of independent work for faster delivery.
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前往 設定 → 功能 → 技能 → 上傳技能
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測試它
正在使用「orchestrating-parallel-agents」。 Run parallel agents for issues 201 and 202 on the authentication feature
預期結果:
- ✓ Created git worktrees for issues 201 and 202
- ✓ Spawned 2 agents in parallel
- ✓ Monitoring 2 active worktrees
- • Issue 201: 45% complete - User model changes
- • Issue 202: 30% complete - Auth middleware
安全審計
安全Pure prompt-based documentation skill with no executable code. Contains only markdown instructions for git worktree-based parallel agent orchestration. No file system modifications, network calls, or external command execution by the skill itself.
品質評分
你能建構什麼
Scale Team Velocity
Break large features into parallel workstreams and accelerate delivery by running multiple AI agents concurrently
Parallel Infrastructure Work
Implement backend, database, and API changes simultaneously while keeping frontend work in separate waves
Feature Branch Isolation
Run independent agents on different file changes without merge conflicts by organizing work into dependency-aware waves
試試這些提示
Use /worktree-issue to spawn agents for issues 101, 102, and 103 in parallel
Break down the new authentication feature into 3 waves of independent issues using the parallel agents workflow
Check the status of running worktree-issue agents and identify any that need manual completion
Complete the remaining git commits for stalled agents and merge the wave 1 PRs sequentially
最佳實務
- Keep each issue scoped to 1-3 files for higher success rates
- Organize waves so independent changes run first
- Include specific file paths and code snippets in each issue
避免
- Spawning too many agents that exceed system resources
- Putting same-file changes in different waves without coordination
- Skipping manual review of agent-generated changes before merging