How real projects brief GitHub Copilot, from .github/copilot-instructions.md.
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hyperpolymathCopilot instructionshyperpolymath/panll/.github/copilot-instructions.md
WebKitGTK) - **verisim** — Persistent storage layer - **typell** — Type intelligence engine — cross-panel type checking - **boj-server** — MCP server — all external tool integration **Consumed by:** - **idaptik** — Uses PanLL as level editor
jyunmingCopilot instructionsjyunming/Axon/.github/copilot-instructions.md
context window. --- ## Agent Tool Names (0.5.0) — MCP: 18, VS Code LM tools: 20 The MCP server (`axon-mcp`, agent mode) and the VS Code extension's Copilot LM tools expose
maxgfrReads credentialsCopilot instructionsmaxgfr/conforme/.github/copilot-instructions.md
maps `Bearer ${VAR}`, else an exact `${VAR}` header, to `api_key_env`; an inline `mcp_servers = []` is accepted; a server that left the source is dropped - parse_mcp_json reads
MicrosoftReads credentialsCopilot instructionsmicrosoft/azure-healthcare-digital-quality-platform/.github/copilot-instructions.md
Service (backend.dq.svc.cluster.local) │ │ ├── Dockerfile # build context is the REPO ROOT (COPY submitters/...) │ │ └── requirements.txt │ └── orchestrator/ │ ├── src/ # MCP server, CQL executors, lightning RLHF │ ├── k8s/ # Deployment template (uses ${COSMOSDB_DATABASE_NAME}) │ ├── Dockerfile # build context
RevealUIStudioReads credentialsCopilot instructionsRevealUIStudio/revealui/.github/copilot-instructions.md
Purpose: give an AI coding agent concise, actionable context to be productive in this monorepo.
sandraschiCopilot instructionssandraschi/libreoffice-mcp/.github/copilot-instructions.md
test`, `just certify`. ## Session Context (LibreOffice MCP) Headless LibreOffice automation: convert, ODT merge, batch packs, live Writer/Calc. **Before starting work:** 1. Check server health: libreoffice(operation="status") 2. List templates
streamshubCopilot instructionsstreamshub/streamshub-mcp/.github/copilot-instructions.md
StreamsHub MCP -- Copilot Instructions Multi-module Quarkus monorepo providing MCP servers for Kubernetes-based streaming platforms. Java 21, Quarkus 3.x. ## References - **Architecture and conventions**: [AGENTS.md](../AGENTS.md) - **Shared coding skills
2aronSCopilot instructions2aronS/org-mcp/.github/copilot-instructions.md
mcp org-mcp is a Rust Model Context Protocol (MCP) server for org-mode knowledge management. It provides search, content access, and note linking capabilities for org-mode files through
agentic-dev-ioReads credentialsCopilot instructionsagentic-dev-io/agent-farm/.github/copilot-instructions.md
this repository. Follow these instructions exactly to handle onboarding, Context7 MCP, and the Serena MCP server so that Copilot can use them reliably. ## Quick Reference: Agent-Farm Technical Overview **agent
AlessioChenReads credentialsCopilot instructionsAlessioChen/HACKAPIZZA-2.0/.github/copilot-instructions.md
mcp`) via `sys.modules` before importing any `hackapizza` module. See `tests/conftest.py` for the pattern. **Recipe names are exact-match:** Passing a recipe name that doesn't exactly match the game server
anilcancakirReads credentialsCopilot instructionsanilcancakir/laravel-agent-mcp/.github/copilot-instructions.md
repository. ## Stack `anilcancakir/laravel-agent-mcp` is a Laravel PACKAGE (not an application): a secure, read-only MCP server that exposes 25 read-only tools to LLM agents. PHP `^8.3` (CI runs
AppsYogi-comCopilot instructionsAppsYogi-com/gsc-mcp-server/.github/copilot-instructions.md
MCP Copilot Instructions ## Project Overview This is a **Model Context Protocol (MCP) server** that provides Google Search Console (GSC) API access to AI clients (Claude, Cursor, VS Code Copilot
Ask-812Copilot instructionsAsk-812/oswright/.github/copilot-instructions.md
Working on OSWright Windows desktop automation as an MCP server. The differentiator is the perception layer: it keeps a model of the screen between actions and re-reads only what
azank1Copilot instructionsazank1/cdv/.github/copilot-instructions.md
Agent Instructions CDV is an MCP server for prompt quality, refinement loops, and Conservative Dual-Verify agent-loop control. See [README.md](../README.md) for architecture, tools, and examples. --- ## Required on every
BogzxCopilot instructionsBogzx/LearnLoop/.github/copilot-instructions.md
Trailhead coaching — always on, never block Five MCP tools: `coach`, `wiki_lookup`, `wiki_save`, `wiki_bootstrap`, `wiki_proven_prompts`. These tools are NOT optional. They REPLACE native Read/Grep/Glob/file-search
djerokCopilot instructionsdjerok/glm-mcp/copilot/copilot-instructions.md
delegation You have the **glm** MCP server available in agent mode, with these tools: `glm_agent`, `glm_delegate`, `glm_recommend`, `glm_status`. GLM (Zhipu/Z.ai) is **~10× cheaper** than the default
dmgrokCopilot instructionsdmgrok/mcp_mother_skills/.github/copilot-instructions.md
tech stack detection. It supports both Claude and GitHub Copilot agents. ### Core Architecture ``` index.ts → MCP server entry, tool definitions, request routing ├── agent-detector.ts → Detects Claude vs Copilot (env vars, client info
Doucs91Copilot instructionsDoucs91/hivelore/.github/copilot-instructions.md
bypass it. ### MCP first (default — never optional unless the developer says so) The **haive** MCP server must be enabled in your client. Until it is unavailable (misconfiguration report
gulmezeren2-byteCopilot instructionsgulmezeren2-byte/ihalent/.github/copilot-instructions.md
public-tender (EKAP) award intelligence: a pure-Python library + Typer CLI (plus an optional MCP server) that parses result notices (*Sonuç İlanı*) into `Award` records and computes firm histories, discount
ihuzaifashoukatCopilot instructionsihuzaifashoukat/splicedeck/.github/copilot-instructions.md
second. No float enters the time domain. - The CLI and the MCP server are generated from `splicedeck/surface/verbs.py`. Edit that table; never hand-edit a surface. When a document
Repository-wide instructions for GitHub Copilot, kept in .github/copilot-instructions.md.
How to build and test, the project's structure, and the conventions Copilot should follow in suggestions and reviews.
No. Copilot's coding agent also reads AGENTS.md, so many projects keep the shared rules there.
Open a file to see its discussion. Reports from people and their agents are coming.
