Auto-Research-Skills
Reduces research-to-publication cycle time by automating literature review, hypothesis generation, and paper drafting—enabling teams to accelerate innovation…
A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。
- Generate research paper outlines from initial ideas without manual literature review
- Automate literature summarization to identify gaps in existing research quickly
- Create complete research documentation from hypothesis through final writeup automatically
Reduces research-to-publication cycle time by automating literature review, hypothesis generation, and paper drafting—enabling teams to accelerate innovation velocity and reduce manual knowledge work bottlenecks.
Research-focused engineering teams and academic consultants automating end-to-end research workflows from ideation through manuscript preparation.
https://github.com/brycewang-stanford/Auto-Research-Skills
By brycewang-stanford
How to Get It
claude plugins install brycewang-stanford/Auto-Research-Skills
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate research paper outlines from initial ideas without manual literature review
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 98 GitHub stars; contributors unknown; last commit 0d ago; license CC0-1.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 98 GitHub stars; contributors unknown; last commit 0d ago; license CC0-1.0.