azure-ai
Skill11 starsChanged 9 months agoMITView on GitHub
Use for Azure AI: Search, Speech, Foundry, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, AI agents, prompt flows, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, AI agent, prompt flow, Foundry, OCR, convert text to speech. DO NOT USE FOR: Function apps/Functions (use azure-functions), databases (azure-postgres/azure-kusto), resources.
10 other projects use a version of this, 10 of them edited.
Adopted by
Most recently taken up by
- microsoft/frontier-agentic-cobuild-rvasedited, first seen Oct 24, 2026
- microsoft/frontier-ai-starter-kit-rvasedited, first seen Oct 24, 2026
- desktop-commander/skillsedited, first seen Oct 17, 2026
- microsoft/GitHub-Copilot-for-Azureedited, first seen Oct 13, 2026
- microsoft/skillsedited, first seen Oct 13, 2026
- microsoft/azure-skillsedited, first seen Oct 13, 2026
Used with
Projects with it also use humanize-content, excalidraw-diagram and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
MicrosoftSkillhumanize-content
Write or revise human-readable text in the project's saved tone of voice. Use whenever composing prose, including documentation, emails, articles, social posts, UI copy, and user-facing explanations or replies, even without an explicit humanization request or slash command. Cut filler, stale content, and needless complexity; create TONE-OF-VOICE.md on first use and reuse it on later runs.
Also in 3 projects that use this
MicrosoftSkillexcalidraw-diagram
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
Also in 3 projects that use this
- +1 more from microsoft
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 10
- microsoft/agent-skills★ 3.2k44% same
- microsoft/skills★ 3.2k44% same
- microsoft/azure-skills★ 1.6k44% same
- microsoft/GitHub-Copilot-for-Azure★ 26244% same
- jorgeasaurus/agent-skills★ 1458% same
- microsoft/frontier-agentic-cobuild-rvas★ 752% same
- microsoft/frontier-ai-starter-kit-rvas★ 752% same
- desktop-commander/skills★ 458% same
- idexal/idexal-skills★ 258% same
- microsoft/frontier-ai-governance-rvas★ 158% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository73 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/skills/vercel-composition-patterns/AGENTS.mdAGENTS.md
- .agents/skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- .agents/skills/vercel-react-native-skills/AGENTS.mdAGENTS.md
- appinsights-instrumentationSkill
- azure-aigatewaySkill
- azure-aiSkill
- azure-complianceSkill
- azure-cost-optimizationSkill
- azure-deploySkill
- azure-diagnosticsSkill
- azure-kustoSkill
- azure-networkingSkill
- azure-observabilitySkill
- azure-postgresSkill
- azure-prepareSkill
- azure-resource-visualizerSkill
- azure-role-selectorSkill
- azure-storageSkill
- azure-validateSkill
- entra-app-registrationSkill
- file-test-bugSkill
- markdown-token-optimizerSkill
- microsoft-foundrySkill
- senseiSkill
- skill-authoringSkill
- vercel-composition-patternsSkill
- vercel-react-best-practicesSkill
- vercel-react-native-skillsSkill
- web-design-guidelinesSkill
- appinsights-instrumentationSkill
- azure-aigatewaySkill
- azure-aiSkill
- azure-complianceSkill
- azure-cost-optimizationSkill
- azure-deploySkill
- azure-diagnosticsSkill
- azure-kustoSkill
- azure-networkingSkill
- azure-observabilitySkill
- azure-postgresSkill
- azure-prepareSkill
- azure-resource-visualizerSkill
- azure-role-selectorSkill
- azure-storageSkill
- azure-validateSkill
- entra-app-registrationSkill
- file-test-bugSkill
- markdown-token-optimizerSkill
- microsoft-foundrySkill
- senseiSkill
- skill-authoringSkill
- appinsights-instrumentationSkill
- azure-aigatewaySkill
- azure-complianceSkill
- azure-cost-optimizationSkill
- azure-deploySkill
- azure-diagnosticsSkill
- azure-kustoSkill
- azure-networkingSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 1 is common, 0 are distinctive, and 1 is very specific to this project.
1
Common
Most of the 10 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 20
When Azure MCP is enabled:
- Very specific: line 36
If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Azure AI Services
Services
| Service | Use When | MCP Tools | CLI |
| AI Search | Full-text, vector, hybrid search | azure__search | az search |
| Speech | Speech-to-text, text-to-speech | azure__speech | - |
| Foundry | AI models, agents, prompt flows | azure__foundry | az ml |
| OpenAI | GPT models, embeddings, DALL-E | - | az cognitiveservices |
| Document Intelligence | Form extraction, OCR | - | - |
MCP Server (Preferred)
When Azure MCP is enabled:
AI Search
azure__searchwith commandsearch_index_list- List search indexesazure__searchwith commandsearch_index_get- Get index detailsazure__searchwith commandsearch_query- Query search index
Speech
azure__speechwith commandspeech_transcribe- Speech to textazure__speechwith commandspeech_synthesize- Text to speech
Foundry
azure__foundrywith commandfoundry_model_list- List AI modelsazure__foundrywith commandfoundry_deployment_list- List deploymentsazure__foundrywith commandfoundry_agent_list- List AI agents
If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
AI Search Capabilities
| Feature | Description |
| Full-text search | Linguistic analysis, stemming |
| Vector search | Semantic similarity with embeddings |
| Hybrid search | Combined keyword + vector |
| AI enrichment | Entity extraction, OCR, sentiment |
Speech Capabilities
| Feature | Description |
| Speech-to-text | Real-time and batch transcription |
| Text-to-speech | Neural voices, SSML support |
| Speaker diarization | Identify who spoke when |
| Custom models | Domain-specific vocabulary |
Foundry Capabilities
| Feature | Description |
| Model catalog | GPT-4, Llama, Mistral, custom |
| AI agents | Multi-turn, tool calling, RAG |
| Prompt flow | Orchestration, evaluation |
| Fine-tuning | Custom model training |
Service Details
For deep documentation on specific services:
- AI Search indexing and queries -> Azure AI Search documentation
- Speech transcription patterns -> Azure AI Speech documentation
- Foundry agents and flows -> Azure AI Foundry documentation
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

