// Skill profile
Imbad0202/academic-research-skills has grown from a May 14, 2026 trending debut to 29,000+ stars with +476/day velocity — one of the most successful vertical skill bundles in the ecosystem. Where K-Dense-AI/scientific-agent-skills focuses on *producing* research output, Imbad0202's pack focuses on *evaluating* it — the complementary half of a single research-quality flywheel. Skills include literature-review structuring rubrics, citation-graph traversal, methodology-critique templates, peer-review draft helpers, statistical-methods explainers, and an experimental reviewer-mode skill that explicitly surfaces the AI-authored peer-review category. The pack reads like an academic toolkit rather than an engineering bundle — the author (Edward Cheng-I Wu) is inside the domain, not adjacent to it. Compatible cross-harness with Claude Code, Cursor, and Codex CLI; the same SKILL.md convention as the broader skills-bundle ecosystem. Also available as a Codex-native variant (academic-research-skills-codex).
AI agents that work well with Academic Research Skills.
Single 70-line CLAUDE.md derived from Karpathy's LLM coding-pitfall observations — #1 GitHub trending for 28 consecutive days.
A complete software development methodology and composable skills framework for coding agents — brainstorm, plan, execute, review, ship.
Agent skill that makes your coding agent think like the laziest senior dev in the room — skip unnecessary code, reuse existing patterns, and write 54% less code while staying 100% safe.