API Dev

n8n-node-configuration

by czlonkowski

Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type.

migrate-oai-app

by modelcontextprotocol

This skill should be used when the user asks to "migrate from OpenAI Apps SDK", "convert OpenAI App to MCP", "port from window.openai", "migrate from skybridge", "convert openai/outputTemplate", or needs guidance on converting OpenAI Apps SDK applications to MCP Apps SDK. Provides step-by-step migration guidance with API mapping tables.

local-ai-agents

by microsoft

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, local RAG, Chroma vector database, local MCP server, privacy-preserving agent, hybrid local and cloud agent, small language model agent, engineering assistant on my machine. DO NOT USE FOR: deploying agents to the cloud at scale (use deploying-scalable-agents / Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster / server-side inference provisioning.

azure-openai-to-responses

by microsoft

testing-course-samples

by microsoft

Koristite kada se zatraži validacija, testiranje, smoke-test ili pokretanje

azure-openai-to-responses

by microsoft

azure-openai-to-responses

by microsoft

azure-openai-to-responses

by microsoft

microsoft-docs

by microsoft

Kysy virallista Microsoftin dokumentaatiota löytääksesi käsitteitä, opetusohjelmia

local-ai-agents

by microsoft

microsoft-docs

by microsoft

پرس‌وجو در مستندات رسمی مایکروسافت برای یافتن مفاهیم، آموزش‌ها و مثال‌های

microsoft-docs

by microsoft

Søg i den officielle Microsoft-dokumentation for at finde koncepter,

transcript-fixer

by daymade

Corrects speech-to-text transcription errors in meeting notes, lectures, and interviews using dictionary rules and AI. Learns patterns to build personalized correction databases. Use when working with transcripts containing ASR/STT errors, homophones, or Chinese/English mixed content requiring cleanup.

azure-openai-to-responses

by microsoft

local-ai-agents

by microsoft

'Build local-first AI agents that run entirely on a developer workstation

microsoft-docs

by microsoft

microsoft-docs

by microsoft

Abfrage der offiziellen Microsoft-Dokumentation, um Konzepte, Tutorials

azure-openai-to-responses

by microsoft

azure-openai-to-responses

by microsoft

deploying-scalable-agents

by microsoft

microsoft-docs

by microsoft

Запитвайте официалната документация на Microsoft, за да намерите концепции,

local-ai-agents

by microsoft

stepfun-tts

by daymade

Generate speech and transcribe audio using StepFun's StepAudio 2.5 family — stepaudio-2.5-tts (Contextual TTS with instruction + inline parentheses) and stepaudio-2.5-asr (SSE endpoint, 32K context, ~100x RTF, handles up to 30-minute audio in a single call). Use when the user wants Chinese/Japanese TTS with emotional/prosody control, needs to transcribe long audio, migrates from step-tts-2 to stepaudio-2.5-tts (voice_label → instruction breaking change), or hits StepFun censorship / endpoint errors. Also triggers on phrases like 阶跃 TTS, StepAudio 合成, 语音合成, 配音, StepFun ASR, 转录, 语音识别, 文本转语音, TTS 升级, 迁移 step-tts-2. If the user's audio task mentions StepFun/阶跃/StepAudio by name, or involves Chinese TTS with情绪/情感 control, use this skill before falling back to generic audio handling.

deploying-scalable-agents

by microsoft