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caira Skill

AI Agent SkillTypeScriptOpen source

Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends tailored to a user's scenario. Published by microsoft in CAIRA.

What is caira Skill?

Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends tailored to a user's scenario. Published by microsoft in CAIRA. 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
58/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Security review
  • Design and media
  • Security review use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use caira Skill

  • Use it for security review.
  • Use it for design and media.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/CAIRA
  • Skill file: skills/caira/SKILL.md

What it does

Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends tailored to a user's scenario.

Skill instructions

CAIRA Use this skill when a user wants to build or extend a generative AI solution. CAIRA is a reference library, not an application generator: inspect the repository, select the smallest relevant reference components, and adapt them into the user's workspace. Intake before generating changes Ask only what is needed to choose components: 1. What outcome is the user trying to build? 1. Do they already have Foundry/OpenAI endpoints, hosting, identity, observability, or frontend/API code? 1. What kind of networking isolation or security boundaries are needed? 1. Which programming languages or frameworks does the user prefer? If the user prefers something that's not directly in the CAIRA references, try to follow the same architectural patterns and design principles shown in the CAIRA reference components, but adapt them to the user's preferred languages or frameworks. 1. Which components are needed now: Foundry, Container Apps, API, frontend, or only app code? If the answer shows the user

Explore related resources

Frequently asked questions

What is caira?

caira is a open-source AI agent skill with Copy skill directory. Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends.

Who is caira best for?

caira is best for reusing agent instructions, scripts, and references, security review workflows, design and media workflows.

How do I install caira?

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

Is caira actively maintained?

caira may need a closer maintenance check before production use.

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Stars
222
Forks
57
Last commit
15 days ago
Repository age
1 year
License
MIT

Auto-fetched from GitHub.

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