agent-env

Guide for using the `arl` CLI to inspect, debug, and manage the ARL (Agentic RL) runtime: experiments, warm pools, sessions, files, snapshots, replay, private containers, logs, and metrics. Use this skill whenever the user asks about checking pool status, viewing experiment sessions, creating or debugging sessions, transferring files, restoring snapshots, replaying trajectories, streaming logs, exporting trajectories, waiting for pool readiness, running commands in private sidecar containers, or any operational task involving the ARL system. Also trigger when the user mentions `arl` CLI commands, asks "how do I see what's running", "show me the pools", "check experiment X", "debug this session", "看看 pool 状态", "查看实验", "导出 trajectory", or wants to combine multiple arl operations into a workflow.

Conceptual map for maintaining or using the `arl-env` Python SDK (`from arl import ...`). Use this skill when the user asks about ARL Python SDK capabilities, how SDK features map to gateway/runtime code, where to implement a SDK change, or how Python users should interact with ARL sessions, managed experiments, warm pools, files, replay, trajectories, logs, auth, or interactive shells. Prefer this as a feature/file guide, not a detailed API tutorial.

Reference for using the iroh P2P QUIC library (iroh 1.0+) by n0-computer in Rust and Python. Use this skill whenever writing or modifying code that touches iroh — creating Endpoints, connecting peers, opening QUIC streams, implementing protocol handlers, TCP tunneling, or using the Python iroh bindings. Also use when debugging iroh connection issues, NAT traversal problems, or relay connectivity. Triggers on: iroh, QUIC, EndpointId, iroh transport, iroh tunnel, iroh relay, iroh connect, direct-connect, P2P QUIC, iroh Python, dumbpipe, iroh protocol handler, ALPN.

Kubernetes operations, testing, and validation. Use when working with Kubernetes clusters for deploying resources, verifying deployments, testing operators/CRDs, debugging pods, monitoring workloads, or performing end-to-end testing and validation of K8s applications.

Professional code review for anti-patterns, extensibility, architectural soundness, and code quality. Use when users request code review, ask to check for anti-patterns, need architectural validation, want to ensure extensibility, or request analysis of code quality. Apply to tasks involving code auditing, refactoring recommendations, design pattern validation, or ensuring every line of code has purpose and meaning.

Modern documentation management with MkDocs Material theme and GitHub Pages publishing. Use when users need to create, maintain, or publish professional documentation websites. Supports initialization of new documentation projects, live preview with auto-reload, production builds, and automated deployment to GitHub Pages. Features modern Material Design theme with dark mode, full-text search, mobile responsiveness, code highlighting, and rich markdown extensions including Mermaid diagrams, admonitions, and tabs.

Advanced Python development with architecture expertise and automated code quality enforcement. Use when developing Python applications, libraries, or scripts that require high code quality, type safety, best practices, and professional architecture patterns. Includes automated linting with Ruff, type checking with MyPy, security scanning with Bandit, and comprehensive testing. Apply for tasks involving Python code creation, refactoring, quality checks, project initialization, or implementing design patterns.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.