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Academic Research Skills

Academic Research Skills for Claude Code: research → write → review → revise → finalize observed · 2026-10-18

github.com/Imbad0202/academic-research-skills · homepage · Python · NOASSERTION (other) observed · 2026-10-18

Health v2 · maintenance only

83/100

  • Activity 100
  • Release rhythm 99
  • Longevity 16

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 2.0
  • age_days: 236
  • days_rel: 4
  • days_push: 3
  • n_releases_24m: 47

Full methodology

Adoption not part of the score

52555 stars · 4030 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.97

Academic Research Skills is a Python library of Claude Code skills that guides researchers through the full academic workflow, from question formulation to publication-ready PDF. It provides AI‑assisted tools for literature search, citation management, writing quality checks, and simulated peer review.

Use cases

  • Plan the structure of a research paper using Socratic dialogue
  • Generate a literature review with AI‑assisted citation gathering
  • Check writing for logical consistency and AI‑generated style
  • Simulate peer review to identify weaknesses before submission
  • Automate reference formatting and bibliography creation

When to choose

  • You need an AI‑augmented assistant that works alongside you rather than fully automating writing
  • Your workflow relies on Claude Code and you want ready‑made skills for academic tasks
  • You want built‑in integrity checks and simulated peer review before publishing

When to avoid

  • You require a fully automated paper‑writing solution without human oversight
  • Your project does not use Claude or you prefer a different LLM ecosystem
  • You need a standalone desktop application rather than a library/plugin

Facets

library · maturity active

agent-framework prompt-engineering workflow-automation llm-inference nlp documentation artificial-intelligence developer-tools education python cli cross-platform claude-code academic-pipeline literature-review peer-review socratic-coach natural-language-processing research

2 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Imbad0202/academic-research-skills")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem