Parallel Execution Optimizer

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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.

Category: General & Miscellaneous
Repo: affaan-m-everything-claude-code
Path: skills/parallel-execution-optimizer/SKILL.md
Updated: 7/9/2026, 7:53:51 AM

AI Summary

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. It is useful for general automation, multi-purpose workflows, cross-disciplinary tasks, and utility skills. Source: affaan-m-everything-claude-code (skills/parallel-execution-optimizer/SKILL.md).

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.

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