foundry-toolboxes

Étoiles24

Forks39

Mis à jour13 mai 2026 à 14:28

Curate intent-based Foundry Toolboxes (preview) — a single MCP-compatible endpoint bundling tools (MCP, Web Search, AI Search, Code Interpreter, File Search, OpenAPI, A2A) for any agent to consume. USE FOR: toolbox, create toolbox, tool catalog, MCP endpoint, bundle tools.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

dhangerkapil

dhangerkapil/agentic-ai-immersion

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

Exécuter dans Manus

Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

readonly

name	foundry-toolboxes
description	Curate intent-based Foundry Toolboxes (preview) — a single MCP-compatible endpoint bundling tools (MCP, Web Search, AI Search, Code Interpreter, File Search, OpenAPI, A2A) for any agent to consume. USE FOR: toolbox, create toolbox, tool catalog, MCP endpoint, bundle tools.
license	MIT
metadata	{"author":"Microsoft","version":"1.0.0"}

foundry-toolboxes

This is a sub-skill of the microsoft-foundry orchestrator. For full instructions, see the microsoft-foundry SKILL.md.

Plus depuis ce dépôt

même dépôt

deploy-model

dhangerkapil/agentic-ai-immersion

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

2026-07-0124

microsoft-foundry

dhangerkapil/agentic-ai-immersion

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, continuous eval, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, continuous eval, continuous monitoring, continuous eval status, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, improve agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

2026-07-0124

azure-ai-projects-py

dhangerkapil/agentic-ai-immersion

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.

2026-07-0124

skill-creator

dhangerkapil/agentic-ai-immersion

Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.

2026-07-0124

agent-framework-azure-ai-py

dhangerkapil/agentic-ai-immersion

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

2026-07-0124

azure-search-documents-py

dhangerkapil/agentic-ai-immersion

Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".

2026-07-0124