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quickgo-skill

AI Agent SkillJavaScriptOpen source

Submit compact QuickGO requests for GO terms, annotations, and ontology traversal. Use when a user wants concise QuickGO summaries Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Documentation, Design and media, Research, Includes SKILL.md

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

19 days ago

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is quickgo-skill?

Submit compact QuickGO requests for GO terms, annotations, and ontology traversal. Use when a user wants concise QuickGO summaries 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

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
  • Design and media
  • Research
  • Documentation use cases
  • Design and media use cases

Declared skill metadata

  • Source file: plugins/life-science-research/skills/quickgo-skill/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use quickgo-skill

  • Use it for documentation.
  • Use it for design and media.
  • Use it for research.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/life-science-research/skills/quickgo-skill/SKILL.md

What it does

Submit compact QuickGO requests for GO terms, annotations, and ontology traversal. Use when a user wants concise QuickGO summaries

Skill instructions

Operating rules - Use scripts/restrequest.py for all QuickGO API calls. - Use baseurl=https://www.ebi.ac.uk/QuickGO/services. - GO term lookups usually do not need maxitems; annotation and traversal endpoints are better with limit=10 and maxitems=10. - Send Accept: application/json in headers. - Re-run requests in long conversations instead of relying on older tool output. - Treat displayed ... in tool previews as UI truncation, not literal request content. Execution behavior - Return concise markdown summaries from the script JSON by default. - Prefer these paths: ontology/go/terms/<id, annotation/search, and ontology child or ancestor endpoints. - Treat annotation/search as upstream-fragile when QuickGO's annotation Solr backend is unavailable; fall back to ontology term lookup or UniProt GO annotations when appropriate. - If the user needs the full payload, set saveraw=true and report the saved file path. Input - Read one JSON object from stdin. - Required fields: baseurl, path - Op

Verified compatibility and discovery

Frequently asked questions

What is quickgo-skill?

quickgo-skill is a open-source AI agent skill with Copy skill directory. Submit compact QuickGO requests for GO terms, annotations, and ontology traversal. Use when a user wants concise QuickGO summaries

Who is quickgo-skill best for?

quickgo-skill is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows, research workflows.

How do I install quickgo-skill?

Install or run quickgo-skill using Copy skill directory. Check quickgo-skill for the latest setup command.

Is quickgo-skill actively maintained?

quickgo-skill may need a closer maintenance check before production use.

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Stars
5,140
Forks
717
Last commit
19 days ago
Last verified
Aug 24, 2026
Metadata fetched
Aug 24, 2026
Repository age
6 months
License
Unknown

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.

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