
System Profile
This is a comprehensive profiling assistant that goes beyond running nvidia-smi or cProfile. It intelligently chooses profiling strategies based on your target, whether that's a Python script, a running process, or an entire framework like vLLM. What makes it useful is that it doesn't just run external tools. It will actually write and inject instrumentation code into your target to measure things like CPU-GPU transfer patterns, NCCL collective latency, or memory redundancy across devices. It tracks all its modifications in a changelog table so you can see exactly what it changed and revert everything when you're done. The output is structured around four dimensions: CPU overhead, memory overhead, interconnect traffic, and GPU compute, with actionable recommendations ranked by impact.
- skills.sh installs
- 503
- GitHub stars
- 18.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill system-profile --agent claude-codeInstalls into .claude/skills of the current project.
Files
System Profile
Profile the specified target and summarize the results. Target: $ARGUMENTS
Instructions
You are a profiling assistant. Based on the user's target, choose appropriate profiling strategies, including writing instrumentation code when needed, then run profiling, analyze results, and produce a summary.
Step 1: Determine the profiling target
Parse $ARGUMENTS to understand what to profile. Examples:
- A Python script or module
- A running process (PID or service name)
- A specific function or code block
- An entire framework or system (e.g., "autogen", "vllm serving") — profile its end-to-end execution, identify bottlenecks across components
- "gpu" / "interconnect" / "memory" for focused profiling
If $ARGUMENTS is empty or unclear, ask the user.
Step 2: Choose profiling methods
Select from external tools and/or code instrumentation as appropriate. Don't limit yourself to the examples below — use whatever makes sense for the target.
Sponsors
Details
- Repository
- github.com/wanshuiyin/auto-claude-code-research-in-sleep
- Categories
- Data Science & ML, Debugging, Automation & Workflows
- First seen
- Jun 3, 2026
More from wanshuiyin/auto-claude-code-research-in-sleep
All 41- Comm Lit Review Claude Single200
- Semantic Scholar670
- Paper Figure657
- Research Lit651
- Idea Discovery613
- Idea Creator609
- Auto Review Loop602
- Arxiv601
- Paper Writing595
- Research Review595
- Research Pipeline594
- Grant Proposal590
- Novelty Check588
- Analyze Results584
- Pixel Art582
- Experiment Plan578
- Auto Paper Improvement Loop572
- Paper Write571
- Formula Derivation563
- Research Refine560
- Paper Plan558
- Paper Illustration556
- Run Experiment554
- Paper Slides551