# Sub Agent Delegation

> Delegate complex tasks to sub-agents for parallel autonomous work. Use when GPU kernel optimization, numerical correctness verification, performance profiling, or long-running validation would benefit from focused independent execution.

- Skill: `majiayu000/sub-agent-delegation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/sub-agent-delegation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/sub-agent-delegation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/sub-agent-delegation

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# Sub-Agent Delegation

## Permissions
- NEVER spawn without explicit permission
- ASK first: "I've identified [TASK] for sub-agent delegation. Should I spawn one?"
- Explain WHY before requesting

## When to Delegate
- GPU kernel optimization with iterative benchmarking
- Numerical correctness verification across test cases
- Performance profiling and analysis
- Parallel investigation of independent code paths
- Long-running validation suites

## Patterns
- **Parallel**: Optimize independent kernels simultaneously (attention to A, MLP to B)
- **Correctness First**: Make tests pass before performance
- **Incremental**: Iterate until target speedup or report blockers

## Kernel Optimization Template
```
Optimize [OPERATION] in [FILE].
Context: [current impl], [bottleneck source], [target HW: 3090/H100], [use case: train/inference]
Requirements:
1. Implement with Triton/CUDA
2. Verify: torch.allclose(atol=1e-5, rtol=1e-5), gradients match autograd
3. Benchmark: warmup=10, bench=100, report min/max/mean/std us
4. Scales: (1,128), (8,512), (32,2048)
Report: correctness status, perf table (scale, baseline_us, opt_us, speedup), memory
```

## Workflow
Setup -> Develop -> Verify -> Benchmark -> Report

## Requirements
- Report measured numbers, never estimates
- Include methodology (warmup, iterations, sync)
- Flag regressions immediately

