Vercel app and REST API expert guidance. Use when the agent needs live access to Vercel projects, deployments, environment variables, domains, logs, or documentation through the connected Vercel app or REST API.

Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first time, scaffold a workflow service, add or modify workflow tasks, test workflows locally, or deploy workflows to Render.

Best practices and example-driven guidance for building native macOS SwiftUI scenes and components, including windows, commands, toolbars, settings, split views, inspectors, menu bar extras, and keyboard-driven workflows. Use when creating or refactoring macOS SwiftUI UI, choosing scene types, wiring menus or settings, or needing desktop-specific component patterns and examples.

Guide for running tests in the openai-dotnet repository. Use this when asked to run, debug, or validate tests, or when writing new tests. Explains test modes (Playback, Record, Live), how to identify recorded vs non-recorded tests, environment variable configuration, and what to do when recordings are missing or stale.

SWR data-fetching expert guidance. Use when building React apps with client-side data fetching, caching, revalidation, mutations, optimistic UI, pagination, or infinite loading using the SWR library.

Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.

Connector-first Google Docs editing in local Codex plugin sessions with no Browser Use, target-document checks, connector-readback verification, and reference routing for formatting, citations, tables, and write-safety.

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Submit compact CIViC GraphQL requests for cancer variant interpretation schema inspection and targeted evidence retrieval. Use when a user wants concise CIViC summaries

Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from high-taste image-generated concept design with faithful implementation and browser testing.

Submit compact eQTL Catalogue API requests for association retrieval and documented metadata endpoints. Use when a user wants concise public eQTL Catalogue summaries

Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.

Guide for upgrading Stripe API versions and SDKs

How to run tests using remote executor.

Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.

Build, run, and debug local macOS apps and desktop executables using shell-first Xcode and Swift workflows. Use when asked to build a Mac app, launch it, diagnose compiler or linker failures, inspect startup problems, or debug desktop-only runtime issues.

Vercel Routing Middleware guidance — request interception before cache, rewrites, redirects, personalization. Works with any framework. Supports Edge, Node.js, and Bun runtimes. Use when intercepting requests at the platform level.

Vercel Flags guidance — feature flags platform with unified dashboard, Flags Explorer, gradual rollouts, A/B testing, and provider adapters. Use when implementing feature flags, experimentation, or staged rollouts.

Agent-specific guidance. Read `CLAUDE.md` first for repo map and commands.

This document provides comprehensive context and guidelines for AI agents working on this repository.

This `Agents.md` file provides detailed instructions for OpenAI Codex and other AI agents collaborating on this repository. It includes project structure, conventions, testing, and update policies.

This is a proof of principle package for LLM's that can code up particle physics plots and other tasks.

> **TL;DR**

- `lib/` — Flutter/Dart source (features, services, widgets). Do not edit generated files (`*.g.dart`, `*.freezed.dart`).

Chanfana is an OpenAPI 3/3.1 schema generator and request validator for Hono and itty-router on Cloudflare Workers. It uses Zod v4 for schemas and provides auto CRUD endpoints with D1 support.

- `make build` - Build all packages

- `src/cast/`: Django/Wagtail app for blogging and podcasting with models, views, API, blocks, feeds, and templates.

This file contains build commands, code style guidelines, and development practices for agentic coding agents working in this netlab repository.

This is a monorepo for the vite-plugin-csp-guard package.

This is a ClojureScript (re-frame) music editor for Indian classical music bandishes.

Look through the /docs folder to learn details about:

See [ARCHITECTURE.md](./ARCHITECTURE.md) for more information about how the code

This repository is a coding-interview practice workspace with a Tk/Ttk GUI for generating problem stubs, editing code, and running tests. Everything lives under `/Users/andrewzhao/Documents/coding_int

**Generated:** 2026-02-12

<skills_system priority="1">

This document provides guidance for AI agents working with the Neural Radar Development Kit (NRDK), a Python framework for developing, training, and evaluating machine learning models on radar spectru

Build tool-using AI agents with explicit strategy, runtime policy, and reliable request orchestration.

Cross-platform C++17 project: macOS (dev), Windows (primary target), Linux.

Файл генерируется автоматически из файлов в specs/rules/*

This file governs how AI agents must behave when working on this repository. These rules are not suggestions. Violating them produces a codebase that cannot be trusted.

This document provides essential guidelines for working with the Steeltoe codebase. For detailed build and test procedures, refer to the [GitHub workflows](.github/workflows/) which serve as the sourc

This repo is a **static web app** (no build step) plus **Playwright smoke tests**.

This appears to be a transcript of a presentation on AI trends, specifically focusing on agentic workflows, visual AI, and large language models. The speaker discusses several key points, including:

Understanding the multi-agent system

**Claude Code: Please execute all steps below to set up parallel AI agents for the ZMF Production Dashboard**

Someone built a multi-agent orchestration system for VS Code Copilot with dedicated agent files for each role. The economics are wild, but the architecture patterns are what I can't stop thinking about.

LLM-powered coding and shell assistants that use tools to help with development