Workflow and tools for adding new entries from temp.md to the section files. Includes legend format, section reference, code tools, and common pitfalls. USE FOR: Adding new resources to the knowledge base. DO NOT USE FOR: Editing existing entries or restructuring sections.
Workflow for updating the popular LLM applications pool (section/xllmapps.md) using fetchllmapps.py. Covers full refresh, alternate exports, topic tuning, and common pitfalls. USE FOR: Refreshing the ranked GitHub applications list linked from applications.md. DO NOT USE FOR: Hand-curating application entries inside…
Workflow for updating the LLM landscape paper pool (section/xllmpapers.md) using fetchllmpapers.py. Covers full re-fetch, resume from checkpoint, and adding new topics. USE FOR: Refreshing citation counts, expanding topic coverage. DO NOT USE FOR: Adding hand-curated entries to section files (use…
Build, upgrade, and operate .NET Aspire application hosts with current CLI, AppHost, ServiceDefaults, integrations, dashboard, testing, and Azure deployment patterns for distributed apps.
Build or review gRPC services and clients in .NET with correct contract-first design, streaming behavior, transport assumptions, and backend service integration.
Build or consume Model Context Protocol (MCP) servers and clients in .NET using the official MCP C# SDK, including stdio, Streamable HTTP, tools, prompts, resources, and capability negotiation.
Build, register, and wire up a Foundry Hosted Agent end-to-end on Azure: build the container to ACR, register a hosted-agent version with the azure-ai-projects SDK, grant least-privilege RBAC, configure the CopilotKit runtime App Service, and verify through the Static Web App. Use when deploying or redeploying a…
Author a Microsoft Agent Framework (.NET) agent that is hosted as a Foundry Hosted Agent and speaks AG-UI over the invocations protocol. Use when building, refactoring, or reviewing a .NET agent that must run as a Foundry Hosted Agent and drive a CopilotKit / AG-UI frontend. WHEN: "build a Foundry hosted agent"…
Analyze and optimize this repository — enhance templates/examples for Azure AI o3 personal agents, add CI workflows, harden security, add new domain examples, fix structural gaps.
Scaffold a complete, deploy-ready domain example in examples/ from TEMPLATE.md — domain research, o3 Reasoning Protocol, ≥2 dated critical constraints, license classification, README sync, preflight validation. Use when asked to add or create a new domain-specific agent instruction file.
Run the local CI mirror (placeholder audit, secret scan, structural invariants, chat-artifact scan, README sync check) before any commit that touches a Markdown file. Use when asked to validate/check the repo, and as the mandatory final step of /new-example and /sync-template.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: