parallel-execution

📁 d-o-hub/rust-self-learning-memory 📅 5 days ago
9
总安装量
9
周安装量
#33115
全站排名
安装命令
npx skills add https://github.com/d-o-hub/rust-self-learning-memory --skill parallel-execution

Agent 安装分布

opencode 9
claude-code 9
github-copilot 9
codex 9
kimi-cli 9
gemini-cli 9

Skill 文档

Parallel Execution

Execute multiple independent tasks simultaneously to maximize throughput and minimize total execution time.

When to Use

  • Multiple independent tasks (no dependencies)
  • Tasks benefit from concurrent execution
  • Maximizing throughput is priority
  • Available agents for parallel work
  • Results can be aggregated after completion

Core Concepts

Independence

Tasks are independent when:

  • ✓ No data dependencies
  • ✓ No resource conflicts
  • ✓ No ordering requirements
  • ✓ Failures are isolated

Concurrency

Critical: Use single message with multiple Task tool calls:

[Task tool] → Agent A
[Task tool] → Agent B
[Task tool] → Agent C

All start simultaneously.

Execution Patterns

Pattern Description Example
Homogeneous Same agent, different inputs Test 3 modules
Heterogeneous Different agents, related task Review + Test + Profile
Parallel + Convergence Parallel → Synthesize Profile + Analyze → Root cause

Synchronization Strategies

  • Wait for All: Proceed when ALL complete
  • Wait for Any: Early termination on first success
  • Threshold: Proceed when N of M complete

Performance

Sequential: T1 + T2 + T3
Parallel: max(T1, T2, T3)
Speedup = Sequential / Parallel

Example: 3 tasks (10+15+8 min) → Parallel (15 min) = 2.2x faster

Best Practices

✓ Verify independence before parallelizing ✓ Use single message with multiple Task calls ✓ Balance workload across agents ✓ Handle failures gracefully

✗ Don’t parallelize dependent tasks ✗ Don’t send sequential messages