Skill · em Dados, IA e pesquisa
bioservices
Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/skills/scientific/bioservices - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- nenhum download no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
8 arquivos · 101,8 KB · inclui 4 scripts que executam: scripts/batch_id_converter.py, scripts/compound_cross_reference.py, scripts/pathway_analysis.py, scripts/protein_analysis_workflow.py
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/skills/bioservices/.
d=".claude/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/skills/bioservices/.
d="$HOME/.claude/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: instala em .agents/skills/bioservices/.
d=".agents/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.agents/skills/bioservices/.
d="$HOME/.agents/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Antigravity
Neste projeto: instala em .agents/skills/bioservices/.
d=".agents/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.gemini/antigravity-cli/skills/bioservices/.
d="$HOME/.gemini/antigravity-cli/skills/bioservices" u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/bioservices" curl -fsSL --create-dirs \ -o "$d/SKILL.md" "$u/SKILL.md" \ -o "$d/references/identifier_mapping.md" "$u/references/identifier_mapping.md" \ -o "$d/references/services_reference.md" "$u/references/services_reference.md" \ -o "$d/references/workflow_patterns.md" "$u/references/workflow_patterns.md" \ -o "$d/scripts/batch_id_converter.py" "$u/scripts/batch_id_converter.py" \ -o "$d/scripts/compound_cross_reference.py" "$u/scripts/compound_cross_reference.py" \ -o "$d/scripts/pathway_analysis.py" "$u/scripts/pathway_analysis.py" \ -o "$d/scripts/protein_analysis_workflow.py" "$u/scripts/protein_analysis_workflow.py" \ -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Peça ao Rook
Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.bioservices
Prévia do SKILL.md
---
name: bioservices
description: "Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database)."
---
# BioServices
## Overview
BioServices is a Python package providing programmatic access to approximately 40 bioinformatics web services and databases. Retrieve biological data, perform cross-database queries, map identifiers, analyze sequences, and integrate multiple biological resources in Python workflows. The package handles both REST and SO…
## When to Use This Skill
This skill should be used when:
- Retrieving protein sequences, annotations, or structures from UniProt, PDB, Pfam
- Analyzing metabolic pathways and gene functions via KEGG or Reactome
- Searching compound databases (ChEBI, ChEMBL, PubChem) for chemical information
- Converting identifiers between different biological databases (KEGG↔UniProt, compound IDs)
- Running sequence similarity searches (BLAST, MUSCLE alignment)
- Querying gene ontology terms (QuickGO, GO annotations)
- Accessing protein-protein interaction data (PSICQUIC, IntactComplex)
- Mining genomic data (BioMart, ArrayExpress, ENA)
- Integrating data from multiple bioinformatics resources in a single workflow
## Core Capabilities
### 1. Protein Analysis
Retrieve protein information, sequences, and functional annotations:
```python
from bioservices import UniProt
u = UniProt(verbose=False)
# Search for protein by name
results = u.search("ZAP70_HUMAN", frmt="tab", columns="id,genes,organism")
# Retrieve FASTA sequence
sequence = u.retrieve("P43403", "fasta")
…