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cccskills
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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".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(1)

  • SKILL.md3.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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:

DomainExamples
core-bioinformaticsalignment-and-mapping, read-qc, sequence-io, database-access
transcriptomicsbulk-rna-expression, differential-expression
single-cell-and-spatialscrna-preprocessing, spatial-transcriptomics, cell-annotation
epigenomics-and-regulationatac-seq, chip-seq, dna-methylation
genomics-and-variationvariant-calling, genome-assembly, long-read-genomics
metagenomics-and-microbiomemetagenomics, phylogenetics, microbial-community
proteomics-and-metabolomicsmass-spec, metabolomics
multi-omics-and-systemsmulti-omics-integration, pathway-analysis
protein-designalphafold2-multimer, proteinmpnn, rfdiffusion, boltzgen
ehr-analysiselectronic 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

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같은 저장소의 스킬

Workflow for read alignment, sorting, indexing, mapping statistics, and downstream-ready alignment artifacts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BioTender-max/awesome-bio-agent-skills2042026년 7월 2일 업데이트

AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BioTender-max/awesome-bio-agent-skills2042026년 7월 2일 업데이트

Workflow for event-level and isoform-level splicing analysis with sashimi-ready outputs and splice QC.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BioTender-max/awesome-bio-agent-skills2042026년 7월 2일 업데이트

atac-seq

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ATAC-seq processing with assay QC, MACS3 peak calling, consensus peak matrices, differential accessibility, and motif or footprint follow-up.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BioTender-max/awesome-bio-agent-skills2042026년 7월 2일 업데이트

bindcraft

무료

End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BioTender-max/awesome-bio-agent-skills2042026년 7월 2일 업데이트

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