dev-team

GitHub

按需并行启动多个工程代理以处理大型上下文任务,适用于多文件重构、代码审计等可拆分为独立流的工作。

.claude/skills/dev-team/SKILL.md evolution-foundation/evo-nexus

Trigger Scenarios

多模块大文件重构 跨子系统性能调查 大规模代码库审计

Install

npx skills add evolution-foundation/evo-nexus --skill dev-team -g -y
More Options

Non-standard path

npx skills add https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/dev-team -g -y

Use without installing

npx skills use evolution-foundation/evo-nexus@dev-team

指定 Agent (Claude Code)

npx skills add evolution-foundation/evo-nexus --skill dev-team -a claude-code -g -y

安装 repo 全部 skill

npx skills add evolution-foundation/evo-nexus --all -g -y

预览 repo 内 skill

npx skills add evolution-foundation/evo-nexus --list

SKILL.md

Frontmatter
{
    "name": "dev-team",
    "description": "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."
}

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

  1. Decompose the task into N independent streams
  2. Assign each stream to the most appropriate agent (apex / bolt / lens / etc.)
  3. Spawn agents in parallel via Task tool
  4. Collect results as they return
  5. Synthesize into a unified output
  6. 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)

Version History

  • 7f5dd76 Current 2026-07-25 04:53

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Metadata

Files
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Version
7f5dd76
Hash
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Indexed
2026-07-25 04:53

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