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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.

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Repositório
evolution-foundation/evo-nexus
Última atividade na origem
10 de abril de 2026 às 16:24
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inglês
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548
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180

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SKILL.md
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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 ```markdown ## 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)
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