AI Research Skills

WenyuChiou/ai-research-skills

by Wenyu Chiou - A catalog of 15 Claude Code skills mapped to 8 research-workflow stages (literature → gap analysis → design → drafting → reviewer response), where each stage emits an explicit YAML/Markdown deliverable the next stage consumes. Thoughtfully designed around anti-hallucination — schemas force "gap" status on unsupported claims, and downstream skills refuse malformed, overconfident ha

Python MIT

View on GitHub → Find it in the atlas

Install

pip install research-hub-pipeline

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Read the project’s README, skills and supporting Markdown here. Rendered view is shown first; source is one click away when you need the exact text.

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Platform support

Derived from the project's own README, install route, CI configuration and release assets — not from running it.
PlatformRuns hereOn what evidence
WindowsLikelyInferred from the language or runtime. Nothing in the project says so.
WSL2LikelyInferred from the language or runtime. Nothing in the project says so.
macOSLikelyInferred from the language or runtime. Nothing in the project says so.
LinuxLikelyInferred from the language or runtime. Nothing in the project says so.
DockerNoNo evidence of support anywhere in the project.

Where it came from

Named by 1 of the 39 lists the atlas merges.

How it is classified

One topic, 5 harnesses. Each link is a prerendered page of everything else in that slice.

Research & Data AgentsClaude CodeClaude / AnthropicCodex / OpenAIGemini / GoogleCursor

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