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parallel-launchlisted

Decompose a task into independent concerns and execute them through broadly parallel, specialized agent groups. Use when a request involves multiple independent sub-tasks, research across separate domains, or work that can be parallelized across files or modules.
OutlineDriven/odin-claude-plugin · ★ 27 · AI & Automation · score 82
Install: claude install-skill OutlineDriven/odin-claude-plugin
# Parallel Launch Decompose the given task into independent agent groups and execute them in broad parallel. ## Process 1. **Analyze the task** and identify independent concerns that can run concurrently. - Each concern must be self-contained: no shared mutable state, no ordering dependency. - If concerns have dependencies, sequence the dependent batch after the independent batch completes. - Consult [delegation scenarios](./references/delegation-scenarios.md) for parallelism decisions. 2. **Design agent groups** — for each independent concern: - Assign a clear, scoped objective (one concern per agent). - Select the appropriate agent type (Explore, Plan, general-purpose, or domain specialist). - Define expected output format so results can be composed. 3. **Launch all independent agents in a single tool call** — never sequentially when parallel is possible. 4. **Compose results** once all agents complete: - Merge non-conflicting outputs directly. - For conflicting or overlapping results, reconcile and present trade-offs to the user. - If any agent failed or returned incomplete results, report the gap and propose a targeted follow-up. 5. **Review composed output** — dispatch a review agent to verify: - **Completeness:** All original concerns addressed, no gaps. - **Consistency:** No contradictions between agent outputs. - **Accuracy:** Claims are substantiated, sources checked, no hallucinated findings. - **Scope:** Nothing extra b