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Parallel Execution Optimizer

ASecurity

Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.

269,914 stars
0 votes
6 copies
56 views
Added 5/27/2026
data-aibashgitapifrontendbackend

Works with

api

Security Analysis

A100/100

Scanned 9/29/2026

$npx -y skills add affaan-m/ECC --skill parallel-execution-optimizer --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: parallel-execution-optimizer
description: Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
license: MIT
metadata:
  origin: ECC
tools: Read, Write, Edit, Bash, Grep, Glob
---

# 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:

```text
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:

```text
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.

Attribution

affaan-maffaan-m
View sourceSee grades on GitHubMore from affaan-m →
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