saidwivedi

saidwivedi / research-skills

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Claude Code skills for AI/ML researchers

agents claude-code claude-skills
18
0
100% credibility
Found Mar 11, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of add-on skills for the Claude AI assistant that help AI/ML researchers validate ideas early and automatically create presentations from experiment results.

How It Works

1
🔍 Discover helpful research tools

You find a set of smart helpers for AI researchers on a sharing site, with videos showing how they make research easier.

2
📁 Add skills to your AI assistant

You simply copy the helper folders into your Claude folder so they're ready to use anytime.

3
Choose your research helper
🤝
Research collaborator

Chat with the AI to check ideas, spot problems, and plan smart experiments before wasting time.

📊
Results to slides

Tell it dates, and it gathers your experiment pictures and numbers to build a ready-to-edit presentation.

4
✨ AI works its magic

The helper dives into your work, applies expert tips, or creates beautiful slides just how you like them.

5
👀 Review and polish

You look over the smart advice or slides, make any changes, and feel confident.

🎉 Stronger research and great talks

Your ideas are solid, bugs caught early, and presentations wow everyone without the usual hassle.

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AI-Generated Review

What is research-skills?

research-skills delivers Claude Code skills for AI/ML researchers on GitHub, tackling sloppy workflows and slide drudgery. Copy the Python tools into your Claude Code CLI skills folder for claude code install, then trigger /research-collaborator to vet hypotheses, flag bugs, and enforce methodology before GPU runs, or /results-to-slides with dates to auto-generate editable PPTX decks from git history and output folders. It codifies research skills development so you focus on ideas, not pitfalls.

Why is it gaining traction?

Unlike generic AI assistants, it embeds battle-tested checks—like kill criteria, lit searches, and silent bug audits—directly into Claude Code slash commands, saving hours on failed experiments. Developers hook on the claude code docs clarity and seamless claude github integration for research skills definition, turning raw results into pro slides without manual digging. No claude github connector not working headaches; just drop-in value.

Who should use this?

AI/ML researchers running iterative experiments who waste nights on bad hypotheses or weekly slide scrambles. Ideal for teams using Claude Code CLI alongside git repos, needing claude code skills to boost research skills development without claude github copilot alternatives.

Verdict

Early maturity at 15 stars and 1.0% credibility score means test it small-scale first—docs shine but expect tweaks. Worth a claude code download for Claude Code users eyeing free MIT claude code pricing; skips the grunt for real research gains.

(198 words)

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