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.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/productivity/sub-agent-delegation

SKILL.md

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