Garnet is a high-performance remote cache-store from Microsoft Research implementing the Redis RESP wire protocol in C#/.NET. It uses Tsavorite as its storage engine. Full developer docs: https://microsoft.github.io/garnet/docs/dev/onboarding Note: Some website docs may reference the older two-store architecture (separate main store and object store). This branch uses a unified single-store design — see the Architecture section below for the current model. Test ports are claimed automatically per test host, so several checkouts can run tests on one machine with no…
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Selects Garnet spin-wait policies based on the slow-path cost. Use when adding or changing spin loops, busy waits, retry polling, SpinWait, Thread.SpinWait, fixed spin counts, or spin-to-block/backoff transitions.
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Adds a new built-in RESP command to Garnet end-to-end. Covers enum registration, parsing, dispatch, RESP handler, API surface, storage session, RMW callbacks, command metadata JSON, ACL tests, and integration tests. Use when asked to "add a command", "implement RI.SET", "add RESP command", or any new server command. Do NOT use for custom extension commands (CustomRawStringFunctions) or object-type sub-operations.
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Add or modify a Garnet server configuration option across startup parsing, defaults, programmatic options, runtime CONFIG, consumers, tests and documentation.
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Finalizes any PR for merge by verifying title/description match implementation AND performing code review for best practices. Use when asked to "finalize PR", "check PR description", "review commit message", before merging any PR, or when PR implementation changed during review. Do NOT use for extracting lessons or investigating build failures.
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Presidio is a Python SDK for detecting (presidio-analyzer) and anonymizing (presidio-anonymizer) PII in text and images, plus CLI, structured-data, and image-redaction components. It is a widely used library: users depend on current detection behavior, and configuration files written years ago must keep working. Correctness and backward compatibility outrank cleverness. The review-side versions of these rules — which the Copilot PR review agent also enforces — live in .github/copilot-instructions.md and .github/instructions/*.instructions.md. Follow them at authoring time; the pre-PR check below verifies…
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Review a Presidio pull request, or the current branch, against the repo's contribution rules and return a short verdict with what is missing. Use when asked to review, check, or approve a PR, or before opening one.
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Presidio is a Python-based data protection and de-identification SDK with multiple components for detecting and anonymizing PII (Personally Identifiable Information) in text and images. Domain-specific rules live in path-scoped instruction files and apply on top of this file when a change touches the matching paths: - .github/instructions/recognizers.instructions.md — adding or modifying PII recognizers. - .github/instructions/yaml-config.instructions.md — the pydantic layer that translates YAML configuration into Presidio instances. Data privacy is paramount. This is a PII detection and anonymization system used in…
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Follow .github/copilot-instructions.md for repository-specific development guidance. Before filing a GitHub issue in this repository: Before opening a pull request:
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This is the Windows Package Manager (WinGet) community repository — a manifest-only repo containing ~415,000+ YAML files describing how to install Windows applications via winget. There is no application source code here. The tooling is PowerShell scripts in Tools/. Never recursively scan or search the manifests/ directory. It contains hundreds of thousands of files and will cause severe performance issues. Only search within the specific package folder being modified (e.g., manifests/m/Microsoft/WindowsTerminal/). Each package version lives in manifests/<first-letter>/<Publisher>/<Package>/<Version>/ and requires three…
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Convert an existing Prompt Flow Parallel Run Step (PRS) pipeline submission into an Azure ML PRS pipeline that runs a Microsoft Agent Framework (MAF) workflow. Wraps the MAF workflow into a PRS init()/run() entry script, generates the parallel component YAML and conda environment, and rewrites the pipeline submission script. Replaces what `load_component(flow.dag.yaml)` did automatically for Prompt Flow \u2014 produces the hand-built equivalent so that downstream pipeline code (`flow_node = flow_component(...)`, `flow_node.outputs.flow_outputs`, `flow_node.outputs.debug_info`, `flow_node.mini_batch_size`, scheduler, batch endpoint) stays unchanged. WHEN: convert promptflow PRS to MAF PRS, migrate PRS pipeline to agent framework, wrap MAF workflow as parallel component, bulk run MAF workflow, run agent framework as parallel run step, batch run MAF workflow on AML, submit MAF workflow as pipeline component, replace flow.dag.yaml with MAF workflow in pipeline, load_component equivalent for MAF workflow, MAF version of flow_component, load MAF workflow as component, wrap MAF workflow as flow component, MAF flow component, replace flow_node in pipeline with MAF workflow, keep flow_outputs and debug_info ports with MAF, MAF parallel component with connections={}, run MAF workflow as flow_node in AML pipeline, load_component('workflow.py') doesn't work. DO NOT USE FOR: converting the flow itself (use promptflow-to-maf), deploying as online endpoint (use maf-online-endpoint), enabling tracing only (use maf-tracing).
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Drive, inspect, assert on, record, and watch a real terminal from the command line with the tui-test cli. Use when running shells (bash, zsh, fish, PowerShell, pwsh, cmd, xonsh, elvish, nushell) or TUI programs (vim, less, top, etc.) in a headless PTY; sending keystrokes, key combos, or mouse input; resizing, writing raw bytes, or signaling the child; waiting for a command to finish or the screen to settle; asserting on terminal text, colors, exit codes, output, or snapshots; capturing text or full-color SVG screenshots; recording and replaying asciinema sessions; watching a live cli session while an agent drives it; or driving process-local sessions from Rust, Python, or Node.
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This file describes the general instructions for working with the FAST monorepo, including repository structure, code style, tooling, and contribution guidelines.
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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.
MicrosoftCopilot instructions