ensembl-database

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

1.08x

Quality

77%

Does it follow best practices?

Impact

65%

1.08x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/ensembl-database/SKILL.md

Evaluation results

66%

Variant Consequence Analysis for Hereditary Cancer Research

Variant analysis workflow with VEP and population frequencies

Criteria

Without context

With context

ensembl_rest package

VEP used

100%

Population frequencies

100%

Phenotype associations

100%

75%

429 handling

30%

100%

Retry logic

100%

Batch endpoint usage

Content-Type header

100%

Workflow order

60%

Report output

100%

uv pip install

78%

Automated Gene Annotation for Comparative Genomics Study

Gene annotation pipeline with orthologs and batch lookup

Criteria

Without context

With context

ensembl_rest package

100%

Symbol lookup first

100%

expand parameter

100%

Protein sequences retrieved

100%

Ortholog search

100%

Batch lookup used

Rate limit respected

100%

75%

429 handling

100%

50%

uv pip install

Workflow steps present

100%

Results exported

100%

53%

Genome Coordinate Liftover for Legacy GWAS Data

Assembly coordinate mapping GRCh37 to GRCh38

Criteria

Without context

With context

GRCh37 server URL

20%

AssemblyMapper or map endpoint

100%

66%

ensembl_rest package

100%

Correct assembly names

100%

Batch mapping used

Content-Type header

25%

429 handling

50%

Rate limit respected

100%

uv pip install

Mapped results output

100%

Repository: K-Dense-AI/claude-scientific-skills
Commit: 71add64

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Variant Consequence Analysis for Hereditary Cancer Research Automated Gene Annotation for Comparative Genomics Study Genome Coordinate Liftover for Legacy GWAS Data

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