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Imbad0202

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2026-09-02 / projects-researcheracademic-research-skills is at v3.21.1 and 45,352 stars six months after its first commitImbad0202/academic-research-skills gained 801 stars today, second on the Python board. Created February 26, 2026, it has already reached its 21st minor of a third major, shipping v3.20.1 on August 16, v3.21.0 on August 18 and v3.21.1 on August 24. It packages a five-stage Claude Code pipeline, research to write to review to revise to finalize, and holds only 20 open issues against that star count.
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.

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BUILT BY
academic-research-skills
academic-research-skills was created by Imbad0202 and reached v3.21.1 in six months.
Source finding
BUILT BY
academic-research-skills
Imbad0202 created academic-research-skills, a Claude Code skill for AI-assisted academic research.
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BUILT BY
academic-research-skills -> Imbad0202
academic-research-skills was created by Imbad0202 and reached v3.21.1 in six months.
Source finding
BUILT BY
academic-research-skills -> Imbad0202
Imbad0202 created academic-research-skills, a Claude Code skill for AI-assisted academic research.
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GitHub

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