jaechang-hits/SciAgent-Skills
Description and use
jaechang‑hits/SciAgent‑Skills provides a curated library of 197 bioinformatics and life‑science skill modules that let Claude Code and other AI agents turn ad‑hoc prompts into repeatable, multi‑agent workflows (e.g., RNA‑seq, single‑cell, drug discovery, proteomics). By exposing clear API/SDK/CLI interfaces and standardized memory patterns, teams can quickly integrate the skills into existing pipelines, evaluate them via the provided signals, and scale to production‑grade pilots—backed by recent activity, strong GitHub traction (327★, 35 forks), and high readiness for an open‑source candidate. Final checks on licensing, security, and maintainer activity are recommended before full deployment.
Use in a workflow
jaechang-hits/SciAgent-Skills helps turn isolated prompts and tools into repeatable agent workflows.
- coordinate multi-agent workflows
- add tool-use pipelines
- standardize agent memory
Limitations and review notes
High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.
- Source: github
- Language: Python
- Record date: 2026-09-05T17:31:22.623Z