dev-team
On-demand spawning of multiple engineering agents in parallel for large-context work. Use when a task is too big for a single agent and the work can be split into independent streams.
适合你,如果单个智能体处理不了你的大型工程任务。
/ 通过 npx 安装 校验哈希
npx oh-my-skill add evolution-foundation/evo-nexus/dev-team/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- evolution-foundation/evo-nexus/dev-team/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify evolution-foundation/evo-nexus/dev-team安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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索引托管
怎么用
商店整理自技能原文 · 版本 7f5dd76 · 表述以原文为准它做什么
Claude 会将大任务拆成多个独立子任务,同时启动多个工程智能体并行工作,最后合并结果输出。
什么时候触发
当任务对单个智能体太大且可拆分为独立流时触发,例如多文件重构、代码库审计、性能调查等。
装好后可以这样说
触发多个智能体并行审计。
同时执行两个流。
并行分析不同方面。
技能原文 SKILL.md
Dev Team
Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.
On-demand parallel agent spawning. When a task is too big for one agent and the work can be split into independent streams, spin up multiple engineering agents working in parallel.
Use When
- Multi-file refactor across 10+ files in different modules
- Codebase audit that benefits from parallel exploration
- Performance investigation across multiple subsystems
- Documentation pass across many files
Do Not Use When
- Sequential dependencies (B needs A's output)
- Single-file change
- Task fits within a single agent's context
Workflow
- Decompose the task into N independent streams
- Assign each stream to the most appropriate agent (apex / bolt / lens / etc.)
- Spawn agents in parallel via Task tool
- Collect results as they return
- Synthesize into a unified output
- Save to
workspace/development/research/[C]team-{topic}-{date}.md
Streams Example
For "audit the entire auth module":
- Stream 1:
@scout-explorer→ map all auth files - Stream 2:
@vault-security→ security audit - Stream 3:
@lens-reviewer→ code quality review - Stream 4:
@grid-tester→ test coverage analysis - Stream 5:
@apex-architect→ architecture analysis
All spawn in parallel, results combine into one report.
Output
## Team Investigation — {topic}
### Streams
1. {stream 1 result summary}
2. {stream 2 result summary}
...
### Cross-stream Findings
[Insights that emerged from combining results]
### Recommendation
[Unified next step]
Pairs With
- Any of the 19 engineering agents (you pick which to spawn)
dev-autopilot(which can spawn its own team internally)@compass-planner(often the consumer of team output)
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →
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