Skills Hub Agent Skill

Skills Hub Browser

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