> browse/registry

> brand-guidelines

Create and maintain brand style guides for consistent visual identity. Use when a user asks to create brand guidelines, build a style guide, define a brand identity, create a design system document, establish brand colors and typography, or produce any brand standards documentation.

> solidity-security

[AUTO-INVOKE] MUST be invoked BEFORE writing or modifying any Solidity contract (.sol files). Covers private key handling, access control, reentrancy prevention, gas safety, and pre-audit checklists. Trigger: any task involving creating, editing, or reviewing .sol source files.

> solidity-testing

[AUTO-INVOKE] MUST be invoked BEFORE writing or modifying any test files (*.t.sol). Covers test structure, naming conventions, coverage requirements, fuzz testing, and Foundry cheatcodes. Trigger: any task involving creating, editing, or running Solidity tests.

> cucumber

When the user wants to write behavior-driven development (BDD) tests using Gherkin syntax and Cucumber step definitions. Also use when the user mentions "cucumber," "BDD," "Gherkin," "feature files," "given-when-then," "step definitions," or "behavior-driven." For contract testing, see pact.

> claude-code-usage

[AUTO-INVOKE] MUST be invoked at the START of each new coding session. Covers context management, task strategies, and Foundry-specific workflows. Trigger: beginning of any new conversation or coding session in a Solidity/Foundry project.

> hardhat

Develop and test Ethereum smart contracts with Hardhat. Use when a user asks to set up a Solidity development environment, test smart contracts, deploy to testnets, or debug Ethereum transactions.

> hatchet

Orchestrate background jobs and workflows with Hatchet — open-source distributed task queue with DAG workflows. Use when someone asks to "run background jobs", "Hatchet", "workflow orchestration", "distributed task queue", "durable execution", "replace Celery/Bull", or "DAG workflow engine". Covers workflow definition, step functions, retries, concurrency control, and event-driven triggers.

> encore

Build cloud backend applications with Encore — type-safe backend framework with built-in infrastructure. Use when someone asks to "build a backend", "Encore", "type-safe API framework", "backend with built-in infra", "auto-provision cloud resources", or "backend framework with databases built-in". Covers API definition, databases, pub/sub, cron, and auto-provisioned infrastructure.

> defi-security

[AUTO-INVOKE] MUST be invoked BEFORE deploying DeFi contracts (DEX, lending, staking, LP, token). Covers anti-whale, anti-MEV, flash loan protection, launch checklists, and emergency response. Trigger: any deployment or security review of DeFi-related contracts.

> foundry

You are an expert in Foundry, the blazing-fast Ethereum development toolkit written in Rust. You help developers write, test, deploy, and debug Solidity smart contracts using Forge (testing), Cast (CLI interactions), Anvil (local node), and Chisel (Solidity REPL) — with native Solidity testing (no JavaScript), fuzz testing, gas optimization, and fork testing against mainnet state.

> go-to-market

Expert guidance for go-to-market strategy, helping product teams plan launches, choose distribution channels, design growth loops, define ideal customer profiles, and execute GTM motions. Applies frameworks for product-led growth (PLG), sales-led growth, community-led growth, and viral loops.

> grafana

Grafana is an open-source visualization and dashboarding platform that connects to dozens of data sources including Prometheus, PostgreSQL, ClickHouse, and Elasticsearch. It lets you build interactive dashboards with panels, set up alerting rules, and manage everything as code through JSON dashboard definitions and provisioning configuration.

> artillery

When the user wants to perform load testing or performance testing using Artillery with YAML-based scenario definitions. Also use when the user mentions "artillery," "YAML load test," "WebSocket testing," "Socket.io load test," "scenario-based load testing," or "artillery run." For JavaScript-based load testing, see k6.

> solana

You are an expert in Solana blockchain development. You help developers build on-chain programs (smart contracts) in Rust, interact with the Solana network using @solana/web3.js, create tokens (SPL), build NFT collections, and integrate with wallets — leveraging Solana's 400ms block times, parallel transaction processing, and sub-cent fees for high-throughput applications.

> crewai

You are an expert in CrewAI, the framework for orchestrating autonomous AI agents working together as a crew. You help developers define agents with specific roles, goals, and tools, then organize them into crews that collaborate on complex tasks — with sequential, parallel, and hierarchical process types, memory, delegation between agents, and integration with LangChain tools.

> yup

Validate data with Yup schemas. Use when adding form validation, defining API request schemas, validating configuration, or building type-safe validation pipelines in JavaScript/TypeScript.

> dagster

Dagster is a data pipeline orchestrator built around the concept of software-defined assets. Learn to define assets, ops, jobs, schedules, sensors, and resources for building maintainable data platforms.

> product-strategy

Expert guidance for product strategy, helping product leaders define product vision, craft positioning, analyze competitive landscapes, choose pricing models, and build outcome-driven roadmaps. Applies frameworks from Marty Cagan (Empowered), April Dunford (Obviously Awesome), Gibson Biddle (DHM Model), and Reforge.

> great-expectations

Great Expectations is a Python framework for data quality testing and validation. Learn to define expectations, create validation suites, build data docs, and integrate with data pipelines for automated quality checks.

> deepeval

Expert guidance for DeepEval, the open-source framework for unit testing LLM applications. Helps developers write test cases, define custom metrics, and integrate LLM quality checks into CI/CD pipelines using a pytest-like interface.