ai-research-explore
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the…
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes
Claude Code
$ npx -y skills add lllllllama/rigorpilot-skills --skill safe-debug --agent claude-code
Codex
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a codex -y
Cursor
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a cursor -y
Gemini CLI
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a gemini-cli -y
GitHub Copilot
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a github-copilot -y
OpenCode
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a opencode -y
Windsurf
$ npx skills add lllllllama/rigorpilot-skills --skill safe-debug -a windsurf -y
name: safe-debug description: Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
Use this as the Rigor Debug / Rigor Audit skill. The installed slug remains `safe-debug` for compatibility.
Use the shared operating principles in `../ai-research-reproduction/references/agent-operating-principles.md`; this skill should guide conservative diagnosis without blocking the model from finding the local root cause.
experiment meaning or comparability, say so explicitly.
Use `references/debug-policy.md`, `../ai-research-reproduction/references/research-rigor-principles.md`, and the shared `../ai-research-reproduction/references/research-pitfall-checklist.md`.
Run research repositories from their README, with bounded execution and auditable evidence. RigorPilot adds section-level results without rewriting the original README. Trusted reproduction is the default; candidate exploration requires explicit authorization.
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the…
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an…
Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and…
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative…
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when…
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.