aix
thoreinstein/aix/.github/copilot-instructions.md
Gemini CLI). It provides a platform-agnostic way to define and deploy skills, MCP servers, and slash commands. - **Size**: ~1.2MB, 59 Go source files - **Language**: Go 1.25.5 - **Architecture
How real projects brief GitHub Copilot, from .github/copilot-instructions.md.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
thoreinstein/aix/.github/copilot-instructions.md
Gemini CLI). It provides a platform-agnostic way to define and deploy skills, MCP servers, and slash commands. - **Size**: ~1.2MB, 59 Go source files - **Language**: Go 1.25.5 - **Architecture
aixolotl/microsoft-planner-mcp/.github/copilot-instructions.md
Microsoft Planner MCP — Copilot Instructions ## Project Overview MCP server for Microsoft Planner built with FastMCP and Microsoft Graph SDK. Authenticates via Azure Entra ID On-Behalf-Of flow. ## Stack - **Python
Hack23/euparliamentmonitor/.github/copilot-instructions.md
start of every session:** 1. **`.github/workflows/copilot-setup-steps.yml`** - Workflow configuration and permissions 2. **`.github/copilot-mcp.json`** - MCP server configuration and available tools 3. **`README.md`** - Project overview, features, and documentation links 4. **`.github/skills/`** - Skills library
joslat/maf-doctor/.github/copilot-instructions.md
Copilot instructions: the maf-doctor repository This repository is **MAF Doctor itself** (an MCP server and CLI for Microsoft Agent Framework migrations), not an application built on MAF. Read `AGENTS.md
louagej/al-go-mcp-server/.github/copilot-instructions.md
MCP Server — Copilot Instructions This workspace is the **AL-Go MCP Server** project. It provides MCP tools for AL-Go documentation, domain specialists, and knowledge sources. ## Always use `alg-*` tools
mick-gsk/drift/.github/copilot-instructions.md
Version aus Workspace installieren / auffrischen drift --version # Muss mit pyproject.toml uebereinstimmen ``` Der MCP-Server in `.vscode/mcp.json` zeigt auf das Workspace-venv und ist immer automatisch aktuell, wenn `pip install
sailro/HttpProxyMcp/.github/copilot-instructions.md
Copilot Instructions — HttpProxyMcp An HTTP/HTTPS MITM proxy with full traffic capture, exposed as an MCP server so LLMs can inspect, filter, and analyze network traffic. Built with
utk09-NCL/mini-memory-mcp/.github/copilot-instructions.md
Mini Memory MCP This project uses a local persistent memory server. Follow these rules in every session. ## Startup - always do this first Call `memory_list` at the start of every
alexey-pelykh/lhremote/.github/copilot-instructions.md
Purpose | |---------|---------| | `packages/core` | CDP client, account/campaign services, feed parsing | | `packages/mcp` | Model Context Protocol server exposing core as MCP tools | | `packages/cli` | CLI entry point (`lhremote` command) | | `packages/lhremote` | Umbrella package re-exporting core
CrestApps/CrestApps.AgentSkills/.github/copilot-instructions.md
first build - No runtime code — purely for local AI authoring 4. **`CrestApps.AgentSkills.Mcp.OrchardCore`** - Runtime MCP server for Orchard Core - Extends `CrestApps.AgentSkills.Mcp` with Orchard Core–specific convenience wrappers - Bundles both `orchardcore
Daniel-Barta/mcp-rag-server/docs/copilot-instructions.md
have access to a Model Context Protocol (MCP) server that indexes the repository located under the ' ' folder. It exposes three tools: rag_query, read_file, and list_files
neverinfamous/db-mcp/.github/copilot-instructions.md
Context Before starting work on this project, read `memory://briefing/db-mcp` from the `memory-journal-mcp` server for real-time context: - **Recent journal entries** — what was just worked
zpratt/lousy-agents/.github/copilot-instructions.md
cases, gateways, and formatters cli/ Published CLI package and reference scaffold templates mcp/ Published MCP server package action/ Private GitHub Action package agent-shell/ Published npm script-shell telemetry package
alxpark/propresenter-mcp/.github/copilot-instructions.md
ProPresenter MCP Server Project ## Checklist - [x] Create copilot-instructions.md file in the .github directory - [ ] Get project setup information for MCP server - [ ] Create package.json with dependencies - [ ] Create TypeScript configuration - [ ] Create MCP server
Looted/kibi/.github/copilot-instructions.md
workspaces under `packages/*`; the core engine is `packages/core`, the CLI `packages/cli`, the MCP server `packages/mcp`, and agent-host integrations `packages/{claude,codex,cursor,opencode,zcode,vscode}` ## Commands ```bash bun install
shrec/AIWorkHub/.github/copilot-instructions.md
hardcoded constant, and always leaves headroom so a scan cannot starve the interactive MCP server. - Parallelism changes only how fast, never what is measured or produced; results stay identical
caiowilson/MCP-memento/.github/copilot-instructions.md
search`). ## Project architecture (big picture) - Entrypoint is [cmd/server/server.go](cmd/server/server.go#L1): `app.Run()` wires up the MCP server. - The MCP server lives in [internal/mcp/server.go](internal/mcp/server.go#L1): JSON-RPC over stdio, tool registry
dryvist/nix-ai/.github/copilot-instructions.md
Repository Purpose nix-ai is an AI CLI ecosystem (Claude Code, Antigravity, Codex, Copilot, MCP servers, MLX inference) delivered as Nix home-manager modules. It exports modules consumed
suryast/indonesia-civic-stack/.github/copilot-instructions.md
scraper.py` — fetch() and search() functions - `normalizer.py` — raw HTML/JSON → dict transformations - `router.py` — FastAPI routes - `server.py` — MCP server using CivicStackMCPBase - `app.py` — FastAPI app - `README.md` — module docs See `AGENTS.md` for full architecture guide
katalon-labs/true-skills/.github/copilot-instructions.md
project. - `true-platform-testing` - Route and run the full 7-stage testing lifecycle. ## Katalon MCP server These workflows depend on the Katalon MCP server. - **VS Code**: `.vscode/mcp.json` (included) defines
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.