Design tokens + Atomic components for SICO. React 19 + Tailwind CSS v4 + shadcn/ui restyles. npm run dev (Storybook :6006) / lint / test / build-storybook. Each component is a 4-file unit: Development is driven by skills. Always invoke the relevant skill before writing code. Depends on: @sico/config (dev) · Depended on by: @sico/shared, @sico/app.
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Before making any changes to this repository, read and follow the coding standards in .github/copilot-instructions.md. This repository defines reusable agent runbooks in .github/agents/. When a user asks to create a study, run a test, or set up a subjective quality experiment, follow the instructions in the relevant agent file. When triggered, read the full agent file and execute its workflow step by step.
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A harness is the agent codebase that wraps an LLM to solve benchmark tasks — it includes the system prompt, tool definitions (docstrings), tool implementations, agent loop logic, and hook configurations. The harness determines how the LLM perceives tools, plans actions, and handles edge cases. A candidate is a specific version of this harness codebase, stored as an isolated git worktree. This pipeline iteratively optimizes a harness to improve its performance on a target benchmark. Each iteration evaluates a candidate…
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KubeFleet is a CNCF sandbox project that provides multi-cluster application management for Kubernetes. It uses a hub-and-spoke architecture with two main components:
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@AGENTS.md # MLflow Model Serving to Databricks Apps Migration Follow the instructions in AGENTS.md to help users migrate their agents from Databricks Model Serving to Databricks Apps.
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This project uses Databricks AppKit packages. For AI assistant guidance on using these packages, refer to: For enhanced AI assistance with Databricks CLI operations, authentication, data exploration, and app development,…
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This file provides context about this project for AI assistants like Claude. This is a Model Context Protocol (MCP) server template built with FastMCP and FastAPI, designed to run as…
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This document provides architectural context and implementation details for the Custom OpenAPI Spec MCP Server project. It's designed to help AI assistants understand the codebase structure, patterns, and conventions. This…
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This project uses Databricks AppKit packages. For AI assistant guidance on using these packages, refer to: For enhanced AI assistance with Databricks CLI operations, authentication, data exploration, and app development,…
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This repository contains the Pragmatic Rust Guidelines - a collection of design guidelines for Rust developers, published as an mdBook at https://microsoft.github.io/rust-guidelines. Requires mdbook to be installed. Each guideline has a unique identifier in the form M-FOO-BAR and resides in its own markdown file M-FOO-BAR.md within the src/guidelines/ directory. Guidelines follow this structure: Guidelines should be beneficial for safety/COGs/maintenance, agreeable to experienced Rust developers, and comprehensible to novices. Titles should follow the style of the Rust API Guidelines, such as:
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This is the Microsoft 365 Agents SDK for Python, a framework for building enterprise-grade conversational agents for M365, Teams, Copilot Studio, and other platforms. The SDK replaces the legacy Bot Framework SDK (botbuilder packages) with a modern, modular architecture. Important: Python imports use underscores (microsoft_agents), not dots (microsoft.agents). Quick setup (Linux/macOS): Quick setup (Windows): Manual setup (from repository root): Python version: Requires Python 3.10+, supports 3.10-3.14. Recommended: Python 3.11+ The SDK follows a layered, modular architecture with clear separation of…
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LeLab is a FastAPI + React web interface wrapping the LeRobot framework for the SO-101 leader/follower arm. It exposes teleoperation, dataset recording, calibration, replay, and training as HTTP/WebSocket endpoints, replacing LeRobot's CLI + keyboard-driven flows. The frontend (React + Vite) lives in frontend/. The bundle in frontend/dist/ is not committed: setup.py builds it while building the wheel, with Node from the nodejs-wheel-binaries build requirement, and ships it as package data (frontend.__init__.py makes setuptools treat it as a package); lelab/server.py mounts…
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This file is the short core. It carries the invariants an agent must not break, the boundaries of what an agent may change on its own, and the conventions that are specific to this codebase. Everything else lives in the document that already owns it and is not repeated here: When you change behaviour that one of those documents describes, update that document. Do not answer the same question here as well; two copies of a rule drift apart, and…
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IntelliJ Platform plugin: a tool window that shows the PSI (Program Structure Interface) tree of the current file/element, plus a property sheet for the selected node. Aimed at plugin developers.…
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AGENTS.md is the canonical agent guide — build/test/lint commands, the Kotlin↔Rust split, the Win32 doc-set pointer, and platform scope live there. This file only adds Claude-Code-specific notes.
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MongoDB Atlas Kubernetes Operator — a Kubernetes operator that provides native integration between Kubernetes and MongoDB Atlas. It manages Atlas projects, clusters, database users, network access, backups, and more through Kubernetes custom resources. This project uses devbox. Before making any changes, verify you are inside a devbox environment: If not in a devbox environment, always ask the user whether to prefix commands with devbox run. Code style and formatting conventions are maintained as agent skills. See the Skills section below…
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A file Claude Code reads at the start of every session. It holds the commands, conventions and warnings the agent needs for this project.
Where does it go?
At the repository root. Claude Code also reads CLAUDE.md files in subdirectories when it works there.
What should it contain?
Build and test commands, the project's layout, conventions that aren't obvious from the code, and mistakes to avoid. Short files tend to work better than long ones.
CLAUDE.md or AGENTS.md?
Claude Code reads CLAUDE.md; most other agents read AGENTS.md. Many projects keep one and point the other at it.