Skill collection
claesbackman/AI-research-feedback agent skills
- skills
- 10
- GitHub stars
- 495
GitHub description: “A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.”
- Stars
- 495 (92 forks)
- Licence
- MIT
- Last push
- Sep 2026
- Created
- Mar 2026
Install all skills
npx skills add claesbackman/AI-research-feedbackAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in claesbackman/AI-research-feedback, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build a Quarto reveal.js slide deck in the explorable-explanation style (Nicky Case) — one idea per slide, assertion titles, a concrete running example, run-time SVG stages the presenter drives… | claesbackman/ | 495 | — | ~2.9k | Automated safety check: Pass | MIT | 14 days ago |
| 2 | Split a PDF into chunks and convert it to readable markdown text. | claesbackman/ | 495 | — | ~1.8k | Automated safety check: Pass | MIT | 14 days ago |
| 3 | Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. | claesbackman/ | 495 | 1 repo | ~2.3k | Automated safety check: Notes | MIT | 14 days ago |
| 4 | Convert a LaTeX research paper into a policy brief, 1-page summary, or 5-page summary for a general audience, with factual review and a standalone HTML page for GitHub Pages. | claesbackman/ | 495 | — | ~4k | Automated safety check: Notes | MIT | 14 days ago |
| 5 | Run a 6-agent pre-submission panel review for a grant proposal targeting a specified funder or program | claesbackman/ | 495 | 1 repo | ~5.6k | Automated safety check: Notes | MIT | 14 days ago |
| 6 | Run a fast 3-agent mechanical check of an economics paper — spelling and grammar, internal consistency and cross-references, and unsupported claims. | claesbackman/ | 495 | — | ~4.3k | Automated safety check: Notes | MIT | 14 days ago |
| 7 | Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal | claesbackman/ | 495 | 1 repo | ~6.4k | Automated safety check: Notes | MIT | 14 days ago |
| 8 | Run an 8-agent pre-submission referee report for an academic paper targeting a specified journal | claesbackman/ | 495 | 1 repo | ~9.5k | Automated safety check: Notes | MIT | 14 days ago |
| 9 | Adversarially audit changed analysis code against a base ref, hunting for correctness errors in sample construction, merges, variable construction, silent failures, and clustering or fixed effects. | claesbackman/ | 495 | — | ~1.1k | Automated safety check: Notes | MIT | 14 days ago |
| 10 | 10.Explain Diff Explain a code change as a standalone offline HTML page with a five-question quiz. | claesbackman/ | 495 | — | ~2.1k | Automated safety check: Notes | MIT | 14 days ago |
Questions, answered from the data.
What is the best skill in claesbackman/AI-research-feedback?
Explorable Deck from claesbackman/AI-research-feedback ranks first of the 10 skills in claesbackman/AI-research-feedback listed here, with the highest score: its repository has 495 GitHub stars, its SKILL.md loads about 2.9k tokens and it passes the automated safety check with no findings. Next come PDF To Markdown and Review Paper Light.
Are the skills in claesbackman/AI-research-feedback official?
None yet. All 10 skills in claesbackman/AI-research-feedback listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from claesbackman/AI-research-feedback?
Run npx skills add claesbackman/AI-research-feedback in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.