Skills Hub Browser
SkillProductivityBrowse 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".
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skills Hub Browser skill
What this skill tells your AI
The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/skills-hub/SKILL.md and read by ahel’s review.
Search, browse, and install community-contributed skills from the 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 | metagenomics, phylogenetics, microbial-community |
proteomics-and-metabolomics | mass-spec, metabolomics |
multi-omics-and-systems | multi-omics-integration, pathway-analysis |
protein-design | alphafold2-multimer, proteinmpnn, rfdiffusion, boltzgen |
ehr-analysis | electronic health record analysis |
How to Execute
Step 1: Fetch the taxonomy (skill index)
curl -sL "https://raw.githubusercontent.com/zongtingwei/Bioclaw_Skills_Hub/main/catalog/taxonomy.yaml"
This returns the full skill catalog organized by domain. Use it to find the skill name that matches the user's need.
Step 2: List skills in a specific domain
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':
print(item['name'])
"
Replace <domain> with a domain name from the table above.
Step 3: Download and read a skill
# Download the SKILL.md
DOMAIN="<domain>"
SKILL="<skill-name>"
CACHE_DIR="/workspace/group/.hub-skills/${SKILL}"
mkdir -p "${CACHE_DIR}"
curl -sL "https://raw.githubusercontent.com/zongtingwei/Bioclaw_Skills_Hub/main/skills/${DOMAIN}/${SKILL}/SKILL.md" \
-o "${CACHE_DIR}/SKILL.md"
Then read the downloaded skill:
read_file({ file_path: "/workspace/group/.hub-skills/<skill-name>/SKILL.md" })
Step 4: Install dependencies (if needed)
Some Hub skills require extra Python packages. Check the SKILL.md for a "Preferred Tools" or "Dependencies" section. Install with:
pip install <package> --quiet 2>/dev/null
Step 5: Execute the skill
Follow the workflow described in the downloaded SKILL.md, just like any built-in skill.
Important Notes
- Always check built-in skills first before fetching from the Hub
- Downloaded skills are cached in
/workspace/group/.hub-skills/for the session - The Hub is a community resource — skills may reference tools not installed in the container; install them with pip/apt as needed
- If GitHub is unreachable, inform the user and suggest using built-in skills instead
Signals
- GitHub stars
- 178
- Forks
- 32
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
skills-hub- Source
- github.com/biotender-max/awesome-bio-agent-skills