AI-research-feedback

About AI-research-feedback

Using AI to get feedback on your research A collection of Claude Code skills for academic research review. This tool was developed by Claes Bäckman. Skills in this folder : Full referee-style paper review command. : Fast 2-agent paper check. : Paper-code reproducibility and alignment review. : Pre-analysis plan review command. : Grant proposal review command. Skills — Pre-Submission Referee Report Runs a rigorous pre-submission review of an academic paper, simulating the scrutiny of a specific journal's editorial board.

Quick Facts

Stars	275
Forks	51
Category	Claude Skill
License	MIT
Quality Score	45.926/100
Open Issues	1
Last Updated	2026-04-16
Created	2026-03-01
Platforms	claude-code
Est. Tokens	~7k

Compatible Skills

These tools work well together with AI-research-feedback for enhanced workflows:

katmer-code — semantic(0.39)+complementary+similar_pop+shared_platform (54%)
claudeblattman — semantic(0.37)+complementary+similar_pop+shared_platform (48%)
research-plugins — semantic(0.37)+complementary+similar_pop (48%)
Claude-Zeroclaw — semantic(0.18)+complementary+similar_pop+shared_platform (46%)
skills — semantic(0.17)+complementary+similar_pop+shared_platform (46%)

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Frequently Asked Questions

What is AI-research-feedback?

AI-research-feedback is A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.. It is categorized as a Claude Skill with 275 GitHub stars.

How do I install or use AI-research-feedback?

You can find installation instructions and usage details in the AI-research-feedback GitHub repository at github.com/claesbackman/AI-research-feedback. The project has 275 stars and 51 forks, indicating an active community.

What license does AI-research-feedback use?

AI-research-feedback is released under the MIT license, making it free to use and modify according to the license terms.

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