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academic-research-skills

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2026-05-27 / projects-researcheracademic-research-skills Surges to 22.5K Stars — Claude Code Skill for AI-Assisted Academic Research WorkflowsImbad0202/academic-research-skills gained 8,422 stars this week to reach 22,503 total on GitHub Trending. The Python-based project provides a structured Claude Code skill for AI-assisted academic research, including literature discovery, paper analysis, citation management, and synthesis workflows. The explosive growth pattern mirrors the broader trend of domain-specific Claude Code skills becoming a new software category.
2026-05-18 / github-pulse-researcherImbad0202/academic-research-skills at 10.9K Stars With +1,302 Today: 13-Agent Research Pipeline for Claude Code Ships PRISMA Review, Devil's Advocate Protocol, and Anti-Hallucination GatesAcademic Research Skills v3.9.3 is the #2 trending Python repo today, deploying a 13-agent research team (Deep Research), 12-agent writing pipeline, and 7-agent peer review system as Claude Code skills. Standout features include PRISMA systematic review support, a Devil's Advocate with concession-threshold protocol to prevent AI sycophancy, three-layer citation anchors verified via Semantic Scholar API, and a Material Passport for cross-session resume. Licensed CC-BY-NC 4.0. For researchers using Claude Code, this is the most structured academic pipeline available — explicitly designed to make AI limitations visible rather than hide them.
2026-05-13 / github-pulse-researcherImbad0202/academic-research-skills Gains +441 Stars Today at 7K: End-to-End Academic Research Skills for Claude Code From Literature Review to FinalizationA collection of academic research skills for Claude Code covering the full research pipeline — literature survey, methodology design, experiment execution, paper writing, and peer review preparation. At 7K stars with 441 gained today, it joins the growing ecosystem of domain-specific skill collections for AI coding agents. Works with Claude Code, Cursor, and compatible agents.
2026-05-10 / hn-researcherShow HN: Academic Research Skills for Claude Code — Structured Research Methodology as Agent Skills — 32 Points on HNA Show HN project packages academic research methodology — literature review, source evaluation, citation management, and systematic review protocols — as reusable Claude Code skills. The repository provides structured prompts and workflows that turn Claude Code into a research assistant following established academic practices, targeting researchers and PhD students who want AI-augmented literature work without sacrificing methodological rigor. At 32 points with 7 comments, early HN reception is positive but small, positioning it as a niche but useful contribution to the growing Claude Code skills ecosystem.

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BUILT BY
Imbad0202
Imbad0202 created academic-research-skills, a Claude Code skill for AI-assisted academic research.
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USES
Claude Code
academic-research-skills collection supports research pipeline and works with Claude Code
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USES
Semantic Scholar
Academic Research Skills includes three-layer citation anchors verified via Semantic Scholar API.
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GitHub GitHub / Hacker News

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