Agent skill
parallel-launch
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.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/parallel-launch
SKILL.md
Parallel Launch
Decompose the given task into independent agent groups and execute them in broad parallel.
Process
-
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 for parallelism decisions.
-
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.
-
Launch all independent agents in a single tool call — never sequentially when parallel is possible.
-
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.
-
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 built beyond what was asked.
- For implementation work, additionally verify spec compliance and code quality.
-
Report to user only after review passes.
Constraints
- Agents per batch: match the number of truly independent concerns (avoid artificial splitting).
- Each agent prompt must include full context — agents do not share memory.
- Do not launch agents for trivially sequential work (single file, single concern).
- If the task has fewer than 2 independent concerns, execute directly instead of launching agents.
Red Flags
- Never skip review. Composed output must always pass through a review agent before reporting.
- Never accept unverified composed output. If agents return conflicting results, the review agent must flag them — not silently pick one.
- Never report to user before review passes. The review step is mandatory, not advisory.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?