parallel-execution-optimizer

Parallel Execution Optimizer

Use this skill when speed comes from doing independent work at the same time:

repo inspection, file reads, API checks, browser checks, build/test lanes,

deploy readbacks, or multi-worktree implementation passes.

Core Pattern

Turn urgency into a dependency graph before acting.

1. Define the objective and done signal.
2. Split work into lanes.
3. Mark each lane as parallel, sequential, or gated.
4. Run independent reads/checks together.
5. Keep writes isolated by file, worktree, branch, service, or dataset.
6. Merge only after evidence shows the lanes are compatible.
7. End with a verification table, not a vague speed claim.

Lane Matrix

Before a large push, write a compact matrix:

Lane | Can run in parallel? | Write surface | Risk | Verification
Repo scan | yes | none | low | rg/git status outputs
Backend patch | maybe | src/api | medium | unit tests
Frontend patch | maybe | app/components | medium | browser screenshot
Deploy readback | after build | remote service | high | live URL + logs

Only run lanes in parallel when their write surfaces do not collide.

Execution Rules

• Batch file reads, searches, status checks, and metadata queries.
• Use isolated worktrees for large unrelated implementation lanes.
• Start long-running tests, builds, backfills, and deploys in separate sessions,

then poll them deliberately.

• If a lane discovers a blocker that changes the plan, pause dependent lanes

and update the matrix.

• Never let a background process outlive the turn unless the user explicitly

asked for a continuing service.

• Do not parallelize destructive commands, migrations, writes to the same table,

or live customer-impacting deploys without an explicit gate.

Output Shape

Use this when reporting:

Parallel execution result:
- Lanes run: 5
- Lanes completed: 4
- Blocked lane: deploy readback, waiting on DNS propagation
- Fast path found: batched repo scan + focused tests
- Verification: lint pass, unit pass, live smoke pass

Failure Modes

• More concurrency that creates conflicting edits.
• Benchmarking the tool instead of the task.
• Treating "fast" as done before correctness is proven.
• Forgetting to poll running sessions.
• Hiding skipped checks behind a success summary.