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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.

77

1.08x
Quality

77%

Does it follow best practices?

Impact

65%

1.08x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

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

Quality

Discovery

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong, domain-specific description with excellent specificity and trigger term coverage for genomics researchers. The main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill over others. The technical terminology is appropriate for the target audience.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about Ensembl, needs genomic data, mentions species comparisons, or requests variant effect predictions.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions' - these are distinct, actionable capabilities.

3 / 3

Completeness

Clearly answers 'what' with specific capabilities, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The 'when' is only implied through the domain context.

2 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'Ensembl', 'genome', 'gene lookups', 'sequence retrieval', 'variant analysis', 'orthologs', 'VEP predictions', 'genomic research' - these are terms bioinformaticians would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with 'Ensembl genome database REST API' and '250+ species' - this is a clear niche that would not conflict with general bioinformatics or other database skills.

3 / 3

Total

11

/

12

Passed

Implementation

72%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a solid, actionable skill with excellent code examples covering the full range of Ensembl API capabilities. The main weaknesses are some verbosity in introductory sections and workflows that list steps without explicit validation checkpoints. The progressive disclosure and actionability are strong points.

Suggestions

Remove or condense the 'When to Use This Skill' section - the capabilities section already makes usage clear

Add validation checkpoints to the Common Workflows (e.g., 'Verify gene ID exists before proceeding to transcript retrieval')

Trim the Overview paragraph - Claude doesn't need to know EMBL-EBI maintains it or that it's 'comprehensive'

DimensionReasoningScore

Conciseness

The skill contains some unnecessary explanations (e.g., 'comprehensive resource for vertebrate genomic data maintained by EMBL-EBI') and the 'When to Use This Skill' section largely restates what the capabilities section covers. Could be tightened by removing redundant descriptions.

2 / 3

Actionability

Provides fully executable Python code examples for all major operations, including both the ensembl_rest package and direct REST API approaches. Code is copy-paste ready with realistic parameters like actual gene IDs and symbols.

3 / 3

Workflow Clarity

The 'Common Workflows' section lists steps but lacks validation checkpoints or error recovery guidance within the workflows themselves. The error handling example is good but separate from the workflows. No explicit 'verify before proceeding' steps for multi-step processes.

2 / 3

Progressive Disclosure

Well-structured with clear sections, references to external files (api_endpoints.md, ensembl_query.py), and appropriate depth. The overview is concise with detailed examples inline where needed, and advanced resources are clearly signaled.

3 / 3

Total

10

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

10

/

11

Passed

Repository
K-Dense-AI/claude-scientific-skills
Reviewed

Table of Contents

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