K-Dense-AI/scientific-agent-skills is a domain-specialized skill bundle for scientific research workflows, sitting at GitHub trending #7 with +637 stars in 24 hours on May 14, 2026. Unlike generic .claude-directory packs, scientific-agent-skills ships explicit *chained* skills: a literature-review skill calls a citation-graph skill, which calls a PDF-extraction skill, which feeds a methodology-comparison skill. The repo's design partners are computational chemistry and structural biology groups — making this one of the first credible scientific-vertical bundles where the authors are inside the named user cohort. Skills include protein-structure prediction prompts, lab-notebook automation, literature scraping with citation graph traversal, and experiment-design rubrics. Cross-harness — works with Claude Code, Cursor, Codex CLI, and any harness that respects the SKILL.md convention. Part of the May 14 vertical-bundle cycle alongside Imbad0202/academic-research-skills and DrCatHicks/learning-opportunities — the convergence cycle that marked skill packs moving from generic directory race into domain-specialized verticals.
AI agents that work well with Scientific Agent Skills.
Production-grade engineering skills for AI coding agents — addyosmani's curated bundle covering Claude Code, Cursor, and Antigravity workflows.
100+ ready-to-use Claude Code agents, commands, hooks, and integrations — installable via CLI or interactive dashboard at aitmpl.com.
Injects up-to-date, version-specific documentation into LLM context — eliminates hallucination from stale training data.