mgnify-skill
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries Published by openai in plugins.
Decision snapshot
Is this a fit?
Documentation, Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
19 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is mgnify-skill?
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify 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.
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
- Data analysis
- Documentation use cases
- Data analysis use cases
Declared skill metadata
- Source file: plugins/life-science-research/skills/mgnify-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 mgnify-skill
- Use it for documentation.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/life-science-research/skills/mgnify-skill/SKILL.md
What it does
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
Skill instructions
Operating rules - Use scripts/restrequest.py for all MGnify calls. - Use baseurl=https://www.ebi.ac.uk/metagenomics/api/v1. - MGnify uses JSON:API-style responses. Prefer recordpath=data for collection endpoints. - Keep requests narrow by study accession, sample accession, or biome whenever possible. - Re-run requests in long conversations instead of relying on older tool output. Execution behavior - Return concise markdown summaries from the script JSON by default. - Return raw JSON only if the user explicitly asks for machine-readable output. - Prefer these paths: studies, samples, and biomes. Input - Read one JSON object from stdin. - Required fields: baseurl, path - Optional fields: method, params, headers, jsonbody, formbody, recordpath, responseformat, maxitems, maxdepth, timeoutsec, saveraw, rawoutputpath - Common MGnify patterns: - {"baseurl":"https://www.ebi.ac.uk/metagenomics/api/v1","path":"studies","params":{"pagesize":10},"recordpath":"data","maxitems":10} - {"baseurl":"ht
Verified compatibility and discovery
Frequently asked questions
What is mgnify-skill?
mgnify-skill is a open-source AI agent skill with Copy skill directory. Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
Who is mgnify-skill best for?
mgnify-skill is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.
How do I install mgnify-skill?
Install or run mgnify-skill using Copy skill directory. Check mgnify-skill for the latest setup command.
Is mgnify-skill actively maintained?
mgnify-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.
