linear

Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.

Submit compact Open Targets Platform GraphQL requests for target, disease, drug, variant, study, and search data, including associated-disease datasource heatmap matrices. Use when a user wants concise Open Targets summaries or per-datasource evidence context

Design, repair, and roll out formulas in SharePoint-hosted workbooks with connector-aware retrieval, validation, and upload discipline. Use when the user wants to add a formula column, fix a broken formula, choose between a fill-down formula and a spill formula, build a lookup or filter formula, or reuse workbook logic safely.

Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.

Guide for using Netlify AI Gateway to access AI models. Use when adding AI capabilities or selecting/changing AI models. Must be read before choosing a model. Covers supported providers (OpenAI, Anthropic, Google), SDK setup, environment variables, and the list of available models.

Guide for using Netlify Blobs object storage. Use when storing files, images, documents, or simple key-value data without a full database. Covers getStore(), CRUD operations, metadata, listing, deploy-scoped vs site-scoped stores, and local development.

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Guide for using Netlify Forms for HTML form handling. Use when adding contact forms, feedback forms, file upload forms, or any form that should be collected by Netlify. Covers the data-netlify attribute, spam filtering, AJAX submissions, file uploads, notifications, and the submissions API.

Submit compact gnomAD GraphQL requests for frequency, gene constraint, and variant context queries. Use when a user wants concise gnomAD summaries

This document is the single source of truth for all AI agents (Claude Code, Copilot, Codex, and others) operating in this repository. It defines what agents are trusted to do, coding rules, DevOps wor

Macrograph is a visual programming platform with node-based graph interfaces. Supports both desktop (single-project) and server (multi-project) environments with real-time event processing and type-sa

本项目是一个基于 **Python + Neo4j** 的医疗健康画像数据 ETL 工程。从 SQL Server 的 `ai_patients` 表获取患者 ID，调用大数据平台 API 拉取患者健康画像数据，经图谱建模后写入 Neo4j，最终通过 Flask REST API 对外提供查询服务。

**scida** is a Python library for scalable analysis of large scientific datasets, primarily targeting astrophysics simulations (particle-based cosmological simulations) and observational data. It prov

- `cmd/similarityd/`: Go REST server (`/similar`, `/healthz`, `/config`).

**MUST READ** before working on this codebase:

> A self-hosted agent is **your machine**, running **Microsoft’s agent software**, executing **pipeline jobs under your responsibility**.

This document provides guidelines for AI coding agents working in the JSON Visualization codebase.

**Project:** Wanderland\

Operational guide for agentic coding assistants in this repository.

Keep the layout aligned with `PRD.md`. Library-style pipeline logic belongs in `pipelines/`, while thin CLI wrappers live in `scripts/`. Harvested inputs flow from `data/legacy_ro/` (read-only) into `

This repository contains the `vibepress` workspace: a WordPress-to-React pipeline plus supporting apps.

The Agent Task Framework helps transform ambiguous user requests into clear, structured instructions that background agents can execute successfully. This tutorial shows practical examples from real p

- AI infrastructure lives in `core/ai/` (models, checkpointer, graph factory). Agent definitions live in `core/agents/` (graph, tools, state per domain).

- Core code: `fim_rlvr_lean4/` (Lean verifier, curriculum logic, masking utilities).

This repository contains `vue3-ts-jsoneditor`, a Vue 3 wrapper/plugin around `vanilla-jsoneditor`.

project structure:

A desktop star map and astronomy planning application built with Next.js 16 + Tauri 2.9. Integrates with Stellarium Web Engine for sky visualization, observation planning, equipment management, and as

This repository is designed to be maintained by AI coding agents.

`index.html` is the runtime entrypoint. The app is browser-only, with script load order documented in `MODULE_MAP.md`. Keep feature code split by responsibility:

**VidEval** is a browser-based (client-side, local-first) Next.js 15 app for evaluating videos against custom rubrics using AI providers. Teachers upload a rubric file, select a Google Drive folder wi

This is an out-of-tree ONNXRuntime Execution Provider (EP) that uses AMD's

AGENTS.md — guidance for agents in this repo

This is a LazyVim-based Neovim configuration for Neovim 0.12+, migrated from LunarVim.

freeq is an IRC server designed for agents. Not a chatbot framework bolted onto a messaging platform — the protocol itself treats agents as first-class participants with cryptographic identity, struct

Shared services, utilities, and math primitives that power both vector and

This guide covers best practices for building environments with `verifiers` and using them to train and evaluate LLMs. It is downloaded automatically using the setup script below (which has likely alr

- **Framework**: Next.js 16 (App Router) with React 19.

Welcome to the **Interactive Library** project! Whether you are adding new interactive elements, resolving layout bugs, or modifying existing elements, read this document for reference.

TalentScout is a Next.js application that helps companies find talent and helps talent find jobs. The application uses MongoDB, GraphQL with Apollo, and Next.js with TypeScript and Tailwind CSS.

Customer-facing checkout UI. Related billing areas:

This document provides context for AI assistants working on this Hugo static site project.

Learnings and patterns for future agents working on this project.

This document provides guidance for AI coding agents working in the Lolek codebase.

- Supports NASA Space Apps Exoplanet Hunter via an interactive web viewer; AI/ML runs outside this repo.

The infrastructure layer owns all side-effects: storage, embedding, importers, ingestion,

> Agent guidance for the `9_OTHER/TheBrain/TheBrain_export/15199dd2-fe05-4f0c-9841-72106f52f556/.data` directory within the Active InferAnts framework.

This project implements the Node-Slot-Link design pattern for ML inference pipelines.

This repository is centered on [`supervisor.py`](./supervisor.py), which defines the LangGraph workflow, subgraphs, retrieval helpers, reporting, and the CLI entry point. Domain knowledge lives in [`k

Utilize Bruin MCP and use Bruin CLI to run assets and query the tables. Reference Bruin docs.