Build the eBPF for Windows repository — entire solution or specific components. Use this skill when asked to build, compile, rebuild, restore, or clean the project or any of its components (drivers, libraries, tools, tests, etc.).
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Build and test the PREVAIL verifier (external/ebpf-verifier) standalone. Use this skill when asked to build, test, or iterate on the PREVAIL verifier, run YAML verification tests, or work with the verifier's cmake build system.
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Download and analyze crash dumps from CI failures using CDB/WinDbg. Use this skill when asked to debug crashes, analyze dump files, set up WinDbg/CDB, investigate fault injection failures, or start mcp-windbg.
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Generate a Markdown triage report for open, non-draft pull requests in microsoft/ebpf-for-windows, including CI, freshness, sign-offs, and next-owner routing.
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Build and verify eBPF programs for the ebpf-for-windows project. Use this skill when asked to compile a .c BPF source to .o, verify a .o ELF file with bpf2c, or diagnose verification failures. Covers the full clang→bpf2c pipeline.
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Diagnose eBPF program verification failures from the PREVAIL verifier. Use this skill for linux-compatible eBPF programs verified in the standalone PREVAIL repo (external/ebpf-verifier). For programs using Windows-specific features (bpf2c pipeline, Windows helpers, ebpf-for-windows headers), use the 'verify-bpf' skill instead.
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Helps discover DSC resources available via dsc.exe, author new configuration.winget files for this repository, and debug existing DSC configurations. Use this skill when the user asks to add a new flow, pick a DSC resource, write or fix a configuration.winget, or debug a winget configure error.
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A short guide for AI agents (and the humans who wire them up) that want to use tgrep as a fast search tool inside a repository. It complements the README, which documents every flag; this file covers the few things an agent has to get right. tgrep is ripgrep with a pre-built trigram index and an optional server. A search resolves in this order: 1. Server running for this tree: query it over TCP. Fastest. A file watcher keeps the…
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Power Fx is a low-code general-purpose programming language based on spreadsheet-like formulas. This is the open-source C# implementation used across Microsoft Power Platform. The codebase contains a complete compiler and interpreter. Build configurations: Debug/Release (single-target), Debug462/Release462 (net462 only), Debug70/Release70 (net7.0 only), DebugAll/ReleaseAll (multi-target, used by local build scripts). Separation of Compilation and Execution: Core compiles to IR with zero evaluation code. Multiple backends (JavaScript, SQL, etc.) can consume the same IR independently. Symbol Table Composition: Layered symbol tables (Config ->…
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Power Fx is a low-code general-purpose programming language based on spreadsheet-like formulas. This is the open-source implementation of the language used across Microsoft Power Platform. The codebase contains a complete compiler and interpreter infrastructure written in C#. Note: The runLocalTests.cmd script runs tests for both .NET Framework 4.6.2 and .NET 7.0 configurations using VSTest. The Power Fx implementation follows a classic multi-phase compiler architecture: Expression Text → [Lexer] → Tokens → [Parser] → AST → [Binder] → Typed AST →…
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This repository contains a Rust-based, security-focused sandboxing library OS. To maintain high code quality and consistency, please adhere to the following guidelines when contributing.
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A repository of skills, prompts, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry services. Azure SDKs and Foundry APIs change constantly. Never work with stale knowledge. Before implementing anything with Azure/Foundry SDKs: If you skip this step and use outdated patterns, you will produce broken code. These principles reduce common LLM coding mistakes. Apply them to every task. Don't assume. Don't hide confusion. Surface tradeoffs. Minimum code that solves the problem. Nothing speculative.
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Microsoft Foundry (formerly Azure AI Foundry) is a unified Azure platform-as-a-service for enterprise AI operations, model builders, and application development. It combines production-grade infrastructure with friendly interfaces for building agents, deploying models, and developing generative AI applications. Portal: https://ai.azure.com SDK Installation: Authentication Pattern: Environment Variables:
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Microsoft Foundry (formerly Azure AI Foundry) is a unified Azure platform-as-a-service for enterprise AI operations, model builders, and application development. It provides a comprehensive set of AI capabilities for building agents, deploying models, and developing generative AI applications with built-in enterprise-readiness including tracing, monitoring, evaluations, and safety controls. Important information:
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Agent Skills is a repository of skills, prompts, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry services. Azure SDKs and Foundry APIs change constantly. Never work with stale knowledge. Before implementing anything with Azure/Foundry SDKs: If you skip this step and use outdated patterns, you will produce broken code. Apply these principles to every task. Don't assume. Don't hide confusion. Surface tradeoffs. Minimum code that solves the problem. Nothing speculative. The test: Would…
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Analyze advanced AKS cost efficiency. WHEN: \"AKS NAP readiness\", \"AKS bin packing\", \"AKS node scaling bottleneck\", \"AKS blocked scale-down\", \"AKS storage cost\". DO NOT USE AS DIRECT ENTRY FOR: overall AKS cost assessments or rightsizing/VPA/CAS/Spot (azure-kubernetes); spend/anomalies/commitments (cost-analysis/cost-optimization); incidents (aks-troubleshooting).
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Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).
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Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.
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Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.