Agent skill · Databases

bio-agent-skills-hub

Discover and invoke 1,676 deduplicated biomedical AI agent skills from the Awesome Bio Agent Skills repository (20 source repos, 15 categories). Use this skill as a router whenever a user needs a bioinformatics/biomedical task (genomics, transcriptomics, single-cell, proteomics, protein design, clinical, epigenomics, multi-omics, pathway, metagenomics, database queries, visualization, workflows): search the index, locate the best-matching skill, fetch its SKILL.md, and follow it.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-agent-skills-hub --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/bio-agent-skills-hub/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Bio Agent Skills Hub A **router/index skill** over **1,676 deduplicated biomedical AI agent skills**, aggregated and deduplicated from **20 open-source repositories** into **15 categories**. Each skill is a self-contained `SKILL.md` folder compatible with Claude-based agent frameworks. - Repository: **https://github.com/BioTender-max/awesome-bio-agent-skills** - Machine-readable index (authoritative): **`https://raw.githubusercontent.com/BioTender-max/awesome-bio-agent-skills/main/bioskill_index_v3.csv`** (1,676 rows) > This skill does **not** duplicate the 1,676 skills. It tells the agent how to (1) **search** the > index, (2) **locate** the single best-matching skill, (3) **fetch** that skill's `SKILL.md` on > demand, and (4) **follow** it. Skill bodies are fetched from GitHub on demand; a `git clone` > fallback (incl. a China mirror) is provided for offline / bulk / private use. --- ## How to use this skill (router workflow) When a user asks for any bioinformatics task, workflow, or analysis: ### Step 1 — Search the index to find candidate skills The index has columns: `skill_name, folder_name, source_repo, category, description, file_count, archive_path`. `archive_path` = `<s

What's inside
Steps it walks through
  1. How to use this skill (router workflow)
  2. Step 1 — Search the index to find candidate skills
  3. Step 2 — Fetch the chosen skill's SKILL.md (content on demand)
  4. Step 3 — Offline / bulk / private fallback (clone)
  5. Categories (15) — counts and where to browse
  6. Source repositories (20)
  7. Example interactions
  8. Notes
Commands it runs
git clone https://github.com/BioTender-max/awesome-bio-agent-skills.git
cp -r awesome-bio-agent-skills/skills/<archive_path>/ /path/to/your/agent/skills/
git clone https://ghfast.top/https://github.com/BioTender-max/awesome-bio-agent-skills.git
More from awesome-bio-agent-skills
All skills →
About this skill
What does the bio-agent-skills-hub skill do?

Discover and invoke 1,676 deduplicated biomedical AI agent skills from the Awesome Bio Agent Skills repository (20 source repos, 15 categories). Use this skill as a router whenever a user needs a bioinformatics/biomedical task (genomics, transcriptomics, single-cell, proteomics, protein design, clinical, epigenomics, multi-omics, pathway, metagenomics, database queries, visualization, workflows): search the index, locate the best-matching skill, fetch its SKILL.md, and follow it.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-agent-skills-hub --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going