Agent skill · Workflow & Productivity

skills-hub

Browse and install community skills from the BioClaw Skills Hub. Use when a user's task is not covered by built-in skills, or when the user asks about available skills, advanced workflows, or specialized analysis pipelines. Triggers on "skills hub", "more skills", "install skill", "community skills", "find a skill for".

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill 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: 4 KB
Bundled scripts: none
Path: skills/bioclaw/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

# Skills Hub Browser Search, browse, and install community-contributed skills from the [BioClaw Skills Hub](https://github.com/zongtingwei/Bioclaw_Skills_Hub). The Hub contains 70+ specialized bioinformatics skills organized into domains. Skills downloaded from the Hub are cached locally so they persist for the rest of the session. ## When to Use - User requests an analysis not covered by the built-in skills listed in your system prompt - User asks "what other skills are available" or "do you have a skill for X" - User needs a specialized pipeline (e.g., protein design, EHR analysis, spatial transcriptomics workflows beyond the built-in) ## Hub Structure The Hub organizes skills into these domains: | Domain | Examples | |--------|----------| | `core-bioinformatics` | alignment-and-mapping, read-qc, sequence-io, database-access | | `transcriptomics` | bulk-rna-expression, differential-expression | | `single-cell-and-spatial` | scrna-preprocessing, spatial-transcriptomics, cell-annotation | | `epigenomics-and-regulation` | atac-seq, chip-seq, dna-methylation | | `genomics-and-variation` | variant-calling, genome-assembly, long-read-genomics | | `metagenomics-and-microbiome` | metagen

What's inside
Steps it walks through
  1. When to Use
  2. Hub Structure
  3. How to Execute
  4. Step 1: Fetch the taxonomy (skill index)
  5. Step 2: List skills in a specific domain
  6. Step 3: Download and read a skill
  7. Step 4: Install dependencies (if needed)
  8. Step 5: Execute the skill
  9. Important Notes
Commands it runs
curl -sL "https://raw.githubusercontent.com/zongtingwei/Bioclaw_Skills_Hub/main/catalog/taxonomy.yaml"
curl -sL "https://api.github.com/repos/zongtingwei/Bioclaw_Skills_Hub/contents/skills/<domain>" | python3 -c "
import json, sys
for item in json.load(sys.stdin):
if item['type'] == 'dir':
Download the SKILL.md
mkdir -p "${CACHE_DIR}"
curl -sL "https://raw.githubusercontent.com/zongtingwei/Bioclaw_Skills_Hub/main/skills/${DOMAIN}/${SKILL}/SKILL.md" \
pip install <package> --quiet 2>/dev/null
More from awesome-bio-agent-skills
All skills →
About this skill
What does the skills-hub skill do?

Browse and install community skills from the BioClaw Skills Hub. Use when a user's task is not covered by built-in skills, or when the user asks about available skills, advanced workflows, or specialized analysis pipelines. Triggers on "skills hub", "more skills", "install skill", "community skills", "find a skill for".

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill 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