generative-ai-docs vs academic-research-skills

Common questions

What is the difference between generative-ai-docs and academic-research-skills?

generative-ai-docs: This repository is deprecated and will be archived. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories.

When should I choose generative-ai-docs over academic-research-skills?

Choose generative-ai-docs over academic-research-skills when generative-ai-docs is primarily Jupyter Notebook; academic-research-skills is Python; License: generative-ai-docs is Apache-2.0, academic-research-skills is Other; Tags unique to generative-ai-docs: gemini-api, embeddings, gemma, llm; Also covers Vector Databases.

When should I choose academic-research-skills over generative-ai-docs?

Choose academic-research-skills over generative-ai-docs when academic-research-skills is primarily Python; generative-ai-docs is Jupyter Notebook; License: academic-research-skills is Other, generative-ai-docs is Apache-2.0; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers Data & Retrieval.

When should I avoid generative-ai-docs?

Last GitHub push was 167 days ago (slowing maintenance, Jan 26, 2026). Validate activity before betting a new project on generative-ai-docs. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

When should I avoid academic-research-skills?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Is generative-ai-docs or academic-research-skills more popular on GitHub?

academic-research-skills has more GitHub stars (37,300 vs 2,250). Stars measure visibility, not whether either tool fits your constraints.

Are generative-ai-docs and academic-research-skills open source?

Yes - both are open-source projects on GitHub (generative-ai-docs: Apache-2.0, academic-research-skills: Other).

Where can I find alternatives to generative-ai-docs or academic-research-skills?

GraphCanon lists graph-backed alternatives at generative-ai-docs alternatives and academic-research-skills alternatives (generative-ai-docs markdown twin, academic-research-skills markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, generative-ai-docs or academic-research-skills?

generative-ai-docs: Slowing. academic-research-skills: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for generative-ai-docs and academic-research-skills?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: generative-ai-docs trust report; academic-research-skills trust report.