dispatch
This skill should be used when facing 2+ independent tasks that can be worked on without shared state, or when coordinating subagent-driven implementation of a plan. Covers parallel dispatch and sequential task orchestration.
What this skill does
# Agent Coordination Delegate tasks to focused agents with isolated context. Craft their instructions precisely — they should never inherit your session history. ## Parallel Dispatch ### When to Use Multiple independent problems — different test files, different subsystems, different bugs. Each can be understood and fixed without context from the others. No shared state between investigations. ### Don't Use When Failures might be related (fix one → fixes others), need full system understanding first, or agents would edit the same files. ### The Pattern 1. **Group by independence.** Each agent gets one problem domain. 2. **Write focused prompts.** Specific scope, clear goal, constraints on what not to touch, expected output format. 3. **Dispatch in parallel.** 4. **Review and integrate.** Read summaries, verify no conflicts, run full test suite. ### Good Agent Prompts - **Focused**: One clear problem domain - **Self-contained**: All context needed to understand the problem - **Constrained**: What files/code NOT to touch - **Output-specified**: What to return (summary of findings, list of changes) ## Sequential Task Orchestration For executing implementation plans where tasks have dependencies or touch overlapping code. Implementation agents do not count as verification — every task needs independent review. ### The Pattern 1. **Extract all tasks** from the plan upfront with full text 2. **Dispatch one agent per task** sequentially (not parallel — they'll conflict) 3. **Two-stage review** after each agent: first spec compliance (does it match the task?), then code quality (is it well-built?). Re-review until clean. 4. **Fix issues** before moving on — don't accumulate debt across tasks 5. **Run full test suite** after all tasks complete 6. **Final review** of the entire implementation against the original spec before finishing ### Agent Instructions Each implementation agent gets: - Full task text from the plan (don't make it read the plan file) - Context about where this task fits in the larger picture - Scope boundaries (which files, what NOT to change) ### Handling Agent Status - **Done**: Review the diff, proceed to next task - **Needs context**: Provide what's missing, re-dispatch - **Blocked**: Assess the blocker. Context problem → provide context, re-dispatch. Task too large → break it up. 3+ failures or plan seems wrong → escalate to human before proceeding. - **Done with concerns**: Read concerns before proceeding. Address correctness issues; note observational ones. ### Model Selection Use the cheapest model that can handle the task. Mechanical work (isolated functions, clear specs, 1-2 files) → fast model. Integration and judgment → standard model. Architecture and review → most capable model. ## Rules - Never start implementation on main/master without explicit user consent - Never skip review stages — implementation agents self-reporting "done" is not verification - Never dispatch multiple implementation agents in parallel on the same codebase - Implementation agents should follow TDD (`ultrapowers:tdd`) - Open review issues block the next task — don't accumulate debt
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