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12 repos for literature-review · Claude Code · DocsClear
ShaishavMaisuria/
research-paper-lifecycle-skills

42 AI agent skills for literature review, academic writing, citation verification, conference submission, rebuttal, publication, and presentations.

42
Imbad0202/
academic-research-skills

Academic Research Skills for Claude Code: research → write → review → revise → finalize

48k
ltczding-gif/
ref-downloader

Batch-download reference PDFs from a DOI or paper PDF using Crossref and your institutional Edge session.

135
OpenLAIR/
dr-claw

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

1.1k
kgraph57/
paper-writer-skill

Claude Code skill for academic manuscript writing: IMRAD workflows, literature matrices, tables/figures, and tested utilities.

55
LeonChaoX/
qinyan-academic-skills

A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.

879
AutoResearch-Factory/
Agon

Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.

47
appautomaton/
latex-arxiv-SKILL

A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.

427
tigerless-labs/
design-harness

Feed your agent papers and half-formed ideas — it links them into a system design you can defend. Markdown keeps the record; a visual canvas makes it readable. An Agent Skill for Claude Code & any SKILL.md-compatible agent.

217

Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.

291
yogsoth-ai/
de-anthropocentric-research-engine

900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

456