When you have a research direction that feels promising but fuzzy, this walks you through making it concrete enough to actually implement. It locks down your original problem statement so you don't drift, then iteratively refines your approach through GPT-5.5 reviews until you hit a quality threshold (default score of 9 out of 10). The whole thing is built around four principles: keep the problem anchored, prefer minimal mechanisms over kitchen sinks, focus on one sharp contribution, and use modern tools like LLMs only when they genuinely solve the bottleneck. Outputs a versioned log of each refinement round plus checkpoint recovery if your session dies halfway through. Useful when you catch yourself saying "I want to use transformers for X" but can't explain the actual method yet.
npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill research-refine --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills