dispatching-parallel-agents

Solid

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

AI & Automation 233 stars 44 forks Updated today MIT

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Skill Content

<!-- Adapted from obra/superpowers dispatching-parallel-agents skill (v5.0.7), MIT-licensed, copyright 2025 Jesse Vincent. Modifications copyright 2026 Joe Amditis. v0.5.0 ports as a consumer category — no research phase per the v0.2.0 architecture, since dispatching parallel agents is a fan-out utility called by other skills whose research conclusions already determined that parallelism applies. See CREDITS.md. --> # Dispatching Parallel Agents ## Overview You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work. When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel. **Core principle:** Dispatch one agent per independent problem domain. Let them work concurrently. ## When to Use ```dot digraph when_to_use { "Multiple failures?" [shape=diamond]; "Are they independent?" [shape=diamond]; "Single agent investigates all" [shape=box]; "One agent per problem domain" [shape=box]; "Can they work in parallel?" [shape=diamond]; "Sequential agents" [shape=box]; "Parallel dispatch" [shape=box]; "Multiple failures?" -> "Are t...

Details

Author
jamditis
Repository
jamditis/claude-skills-journalism
Created
5 months ago
Last Updated
today
Language
HTML
License
MIT

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