bgee-skill
Submit compact Bgee SPARQL requests for healthy wild-type expression metadata and ontology-aware lookup patterns. Use when a user wants concise Bgee summaries; save raw results only on request. Published by openai in plugins.
Decision snapshot
Is this a fit?
Documentation, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
18 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is bgee-skill?
Submit compact Bgee SPARQL requests for healthy wild-type expression metadata and ontology-aware lookup patterns. Use when a user wants concise Bgee summaries; save raw results only on request. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Documentation use cases
Declared skill metadata
- Source file: plugins/life-science-research/skills/bgee-skill/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use bgee-skill
- Use it for documentation.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/life-science-research/skills/bgee-skill/SKILL.md
What it does
Submit compact Bgee SPARQL requests for healthy wild-type expression metadata and ontology-aware lookup patterns. Use when a user wants concise Bgee summaries; save raw results only on request.
Skill instructions
Operating rules - Use scripts/sparqlrequest.py for all Bgee SPARQL work. - Start with small SELECT or ASK queries and add LIMIT early. - Prefer ontology-aware, healthy wild-type expression questions over broad triple dumps. - Use querypath for longer SPARQL documents instead of pasting large inline queries. - Re-run requests in long conversations instead of relying on older tool output. Execution behavior - Return concise markdown summaries from the SPARQL JSON by default. - Return raw results only if the user explicitly asks for machine-readable output. - Default to JSON result format unless the user explicitly asks for text output. Input - Read one JSON object from stdin. - Required field: query or querypath - Optional fields: method, params, responseformat, maxitems, maxdepth, timeoutsec, saveraw, rawoutputpath - Common Bgee patterns: - {"query":"ASK {}"} - {"query":"SELECT WHERE { ?s ?p ?o } LIMIT 3","maxitems":3} Output - Success returns ok, source, a compact summary, and rawoutpu
Verified compatibility and discovery
Frequently asked questions
What is bgee-skill?
bgee-skill is a open-source AI agent skill with Copy skill directory. Submit compact Bgee SPARQL requests for healthy wild-type expression metadata and ontology-aware lookup patterns. Use when a user wants concise Bgee summaries; save raw results only on request.
Who is bgee-skill best for?
bgee-skill is best for reusing agent instructions, scripts, and references, documentation workflows.
How do I install bgee-skill?
Install or run bgee-skill using Copy skill directory. Check bgee-skill for the latest setup command.
Is bgee-skill actively maintained?
bgee-skill may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
