Repository of Claude and Codex skills for academics (e.g. writing, reading, and data extraction)
You can download a tutorial PDF on how to install and use these skills here:
https://effortlessacademic.com/ai-skills-for-academics
npx skills add https://github.com/lnilya/effortless-academic-skills
Critiques existing academic paragraphs or writes new ones from scratch. Works by turning atomic sentences (one claim + one citation) into tightly structured prose. Every output comes in three variants — Speculative, Safe, and Assertive — so you can choose the voice that fits your argument.
Reads a paper (or pasted text) and compresses every cited reference into a single, essential logical claim. Groups those claims by sub-topic and adds a synthesis sentence for each group. The result is a clean, paste-ready citation map for Obsidian, Notion, or Zotero.
Takes your source papers and turns them into a paragraph-by-paragraph blueprint for an academic introduction. It maps the literature, asks you to confirm the relevant thread, then designs a logical argument that leads to your research gap — without writing a single word of prose itself. Pairs naturally with ea-academic-writer for the actual drafting.
Transforms a collection of academic PDFs into a Wikipedia-style Obsidian knowledge network. Extracts key concepts from each paper, deduplicates them across the corpus, and generates one interlinked concept note per topic — each populated with cited atomic sentences and wikilinks. Also supports an Expand mode for adding new papers to an existing vault.
Extracts and analyses the core empirical findings from a primary research paper. For each result, it summarises what was found, explains its significance, and identifies which cited papers in the discussion support or contrast it. Only works on primary research papers — review papers are detected and redirected to ea-atomic-sentences instead.