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research-skills

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SUMMARY

Claude Code skills for AI/ML researchers

README.md

research-skills

Claude Code skills for AI/ML researchers.

Demos

Research Collaborator

 Results to Slides

Skills

research-collaborator Guardrails your research workflow. Encodes principles from experienced researchers and applies them before you spend the GPU hours. Checks your hypothesis, catches known bugs and flags sloppy methodology.
results-to-slides Discovers experiments from git history and output folders, collects images and metrics, generates editable PowerPoint presentations (.pptx).

Installation

Copy the skill directories into your Claude Code skills folder:

# Copy a single skill
cp -r research-collaborator ~/.claude/skills/

# Or copy all skills
cp -r research-collaborator results-to-slides ~/.claude/skills/

Skills are invoked via slash commands in Claude Code:

  • /research-collaborator - start a research collaboration session
  • /results-to-slides 0301 0308 - generate a presentation for experiments from March 1-8

Requirements

results-to-slides:

  • Python with python-pptx, Pillow, lxml
  • Optional: cv2 or ffmpeg for video poster frame extraction
  • A git repository with experiment outputs

research-collaborator:

  • Web search access (for literature search)
  • A codebase with experiments to investigate

License

MIT

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