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Plugin
research-collaborator
Guardrail your AI/ML research workflow with an AI collaborator that searches literature using query variations, analyzes codebases and logs, designs minimal falsification experiments, records predictions, and audits bugs.
$
npx claudepluginhub saidwivedi/research-skills --plugin research-collaboratorPopularity
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Med: 0·Avg: 273
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Med: 0·Avg: 2
README
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). |
Also includes a utility skill:
| token-usage | Per-session token usage breakdown. /token-usage or /token-usage 30 for last N days. |
Installation
Add the marketplace in Claude Code:
/plugin marketplace add saidwivedi/research-skills
Install all plugins:
/plugin install research-collaborator@saidwivedi-research
/plugin install results-to-slides@saidwivedi-research
/plugin install token-usage@saidwivedi-research
Or install just the ones you need.
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/token-usage 30- show token usage over the last 30 days
Requirements
results-to-slides:
- Python with
python-pptx,Pillow,lxml - Optional:
cv2orffmpegfor 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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Version1.0.0
LanguagePython
Stars34
MaintenanceFair
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