Clean and consolidate the shadow knowledge base. Scans all shadow files for duplicate discoveries (same claim, different wording), near-duplicates (one extends another), and conflicting entries (contradicting claims). Merges duplicates, resolves conflicts by investigating the code, and asks the user only when…
Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures knowledge shared by the user during the session, and updates cross-cutting discoveries. Invoke manually with /shadow-frog-update; the preToolUse hook will remind…
Browse and query the shadow knowledge base: overview, search for files or symbols or text, view preferences, or see recent discoveries. Invoke when the user wants to see what's in the shadow, get an overview, or find specific knowledge.
Use a shadow knowledge base to understand any codebase. The .shadow/ directory mirrors the source tree with markdown files containing behavioral insights — known bugs, edge cases, implicit contracts, and user preferences. Always check the shadow before editing, debugging, or investigating code. When the user shares…
Agent skills for the Azure SQL Database container, the Azure SQL Database engine running locally. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.
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AGENTS.md instructions for microsoft/azure-sql-database-container, covering agents.md, what this project is, repository layout, facts to keep consistent across docs and skills and conventions for changes in this repository.
AGENTS.md instructions for microsoft/azure-ai-search-foundry-iq-live-knowledge-sources, covering agent runbook, safe default, first commands, configuration authority and live lifecycle.
Gives the agent read and write access to a set of allowed directories on the local filesystem. Runs locally from the @modelcontextprotocol/server-filesystem npm package.
★not rated 14 2mo agoA
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Scaffold a complete, production-ready Azure project from scratch for ANY use case: RAG chatbots, multi-agent systems, API backends, data pipelines, Azure Functions, full-stack web apps, ML training/inference, or event-driven microservices. USE FOR: gathering requirements through adaptive questioning, generating…
Instructions for microsoft/Build26-DEM341-any-agent-any-cloud-standardized-tracing-with-foundry-and-opentelemetry: This is a Microsoft Build 2026 session content repository.
Instructions for microsoft/Build26-DEM341-any-agent-any-cloud-standardized-tracing-with-foundry-and-opentelemetry, covering ai agent guidelines, 🔒 security best practices, 📋 repository guidelines, purpose and what not to modify without permission.
Instructions for microsoft/github-constellation-software, covering github @ csi repository instructions, commands, architecture, adding or changing pages and markdown and content conventions.
Auto-track AI coding sessions into a structured work impact log. Local-first, MCP-conformant. Cross-engine: Claude Code, Copilot CLI, Codex CLI, Cursor, Agency.
★not rated 10 yesterdayA
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AGENTS.md instructions for microsoft/copilot-brag-sheet, covering agents.md, 1. project overview, 2. architecture map, 3. build / test / lint commands and run a single test file.
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originalMIT
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: