run-parallel-agents-feature-build
Orchestrate multiple code-writing agents in parallel when the work contains 3 or more genuinely independent build tasks. Use for execution lanes with disjoint write scope, clear task boundaries, and no dependency edges that would force sequencing.
What this skill does
<EXTREMELY-IMPORTANT> This skill orchestrates real Agent tool executions. Non-negotiable rules: 1. Verify independence before launching anything. 2. Write a complete prompt for every spawned agent because fresh `subagent_type` agents do not inherit task context. 3. Launch all parallel agents in a single assistant message with multiple `Agent(...)` tool uses. 4. Use `run_in_background: true` for independent lanes and do not poll or tail background output. 5. Use `isolation: "worktree"` for code-writing lanes unless the task is explicitly read-only. </EXTREMELY-IMPORTANT> # Run Parallel Agents Feature Build ## Inputs - `$request`: Optional plan path, task selection, or user direction such as `execute layer 0 from .ulpi/plans/foo.json` or `build these three features in parallel`. ## Goal Exploit Claude Code's real parallel agent runtime to execute independent build tasks concurrently without file conflicts, missing context, or fake orchestration. ## Step 0: Resolve the candidate work set Identify the source of truth for the work: - an approved DAG plan - an explicit user task list - a clearly decomposed set of independent implementation lanes Then determine: - task count - dependency edges - write scope overlap - whether each lane is build work rather than research or debugging Do not use this skill if: - there are fewer than 3 independent lanes - any lane depends on another lane's result - multiple lanes write the same file or the same narrow subsystem surface - the task is still at planning or exploration stage Use `AskUserQuestion` only if the decomposition is ambiguous and safe parallelization depends on a user choice. **Success criteria**: You have a concrete set of parallel-safe build lanes. ## Step 1: Prove independence, do not assume it For each candidate lane, verify: - required inputs are already available - no output from another lane is needed first - write scope is disjoint - validation can be run per lane or after merge without ambiguity If a plan exists, treat its dependency graph and write scope as the primary source. If there is no plan, derive equivalent temporary structure: - lane name - scope - expected files - acceptance criteria - validation command Load `references/agent-runtime-semantics.md` for the runtime rules that make or break parallel execution. **Success criteria**: Every lane is independently executable without merge-race risk. ## Step 2: Match each lane to the right agent Choose the most appropriate specialized agent for each lane based on: - repository technology - target files and directories - framework-specific patterns - whether the work is implementation or general support Load `references/agent_matching_logic.md` for detailed matching rules and edge cases. Practical defaults: - use the most specific framework/domain agent available - use `general-purpose` only when no stronger fit exists - do not invent agent types **Success criteria**: Every lane has a justified agent assignment. ## Step 3: Build full agent briefs Because fresh `subagent_type` agents start without the main thread's task context, every prompt must contain: - exact scope - why this task exists - files or directories to inspect - write scope - constraints and patterns to follow - acceptance criteria - validation command - explicit instruction whether the lane should write code or only investigate If the work came from a DAG plan, preserve: - task ID - acceptance criteria - write scope - validation command - review requirement If the task is identity, routing, registry, or isolation sensitive, require the lane to use `references/task-exit-gate.md` before declaring completion. **Success criteria**: Each lane prompt is complete enough for a fresh agent to act without asking basic clarifying questions. ## Step 4: Launch all agents in one parallel batch Launch every lane in a single assistant message containing multiple `Agent(...)` tool uses. Required launch semantics for code-writing lanes: - `subagent_type`: matched agent type - `description`: short 3-5 word description - `prompt`: full task brief - `run_in_background: true` - `isolation: "worktree"` Runtime-specific rules: - do not send the agent launches across multiple assistant messages if the user asked for parallel work - do not rely on agent defaults for async or isolation when code-writing safety matters - do not use read-only forks here; this skill is for fresh specialized build agents Load `references/agent-runtime-semantics.md` for the exact source-backed reasons behind these rules. **Success criteria**: All independent lanes are launched concurrently with explicit, safe runtime settings. ## Step 5: Aggregate completions without polling After launch: - continue with non-overlapping coordination work - wait for completion notifications rather than polling background transcripts - trust the returned agent summaries unless there is a concrete reason to inspect deeper When each lane completes, capture: - status - files touched - validation result - blockers or deviations from brief If a lane is blocked, do not hide it inside a merged success summary. **Success criteria**: Every spawned lane has a tracked outcome without unnecessary transcript noise. ## Step 6: Review, conflict check, and closeout Before treating a lane as merged: - check for write-scope conflicts across finished lanes - if the plan specifies a `review` field, invoke the corresponding review skill: - `codex` → `codex-review` - `claude` → `claude-review` - `kiro` → `kiro-review` - if the lane came from a structured task plan, require the lane to satisfy `references/task-exit-gate.md` If conflicts exist: - stop automatic aggregation - identify the overlapping files - merge intentionally or escalate to the user **Success criteria**: Finished lanes are reviewed and conflict-checked before being treated as complete. ## Step 7: Report the consolidated result Summarize: - which lanes ran - which agents handled them - completion status per lane - files or areas changed - reviews performed - remaining blockers or follow-up sequencing Be explicit about partial success. Parallel execution is only a win if the user can see which lanes are actually done. **Success criteria**: The user gets a concise but accurate parallel-execution summary. ## Guardrails - Do not use this skill for fewer than 3 genuinely independent lanes. - Do not parallelize tasks with shared write scope or dependency edges. - Do not keep giant agent catalogs or launch templates inline in `SKILL.md`. - Do not assume fresh agents know the surrounding task context. - Do not poll or tail background agent output unless the user explicitly asks. - Do not rely on default agent `background` or `isolation` settings when explicit launch parameters are safer. - Do not add `disable-model-invocation`; this skill should remain available when the user asks for parallel execution. - Do not add `context: fork`; this workflow coordinates fresh specialized agents, not read-only skill forks. - Do not add `paths:`; this is a generic orchestration skill. ## When To Load References - `references/agent-runtime-semantics.md` Use for source-backed Agent runtime rules: fresh context, single-message parallel launch, background behavior, worktree isolation, and explicit parameter precedence. - `references/agent_matching_logic.md` Use for detailed agent-selection rules and framework-specific edge cases. - `references/task-exit-gate.md` Use when the task came from a structured plan with acceptance criteria, write scope, and validation requirements. ## Output Contract Report: 1. resolved parallel lane set 2. agent assignment per lane 3. launch status 4. completion and review status per lane 5. conflicts, blockers, or remaining sequential work
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