> browse/registry

> prompt-tester

Design, test, and iterate on AI prompts systematically using structured evaluation criteria. Use when building AI features, optimizing agent instructions, comparing prompt variants, or evaluating output quality across edge cases. Trigger words: prompt engineering, prompt testing, eval, LLM evaluation, prompt comparison, A/B test prompts, prompt optimization, system prompt, instruction tuning.

> braintrust

You are an expert in Braintrust, the evaluation and observability platform for AI applications. You help developers run systematic evaluations, compare model versions, track experiments, log production traces, and measure quality metrics — with a focus on making AI development as rigorous as traditional software testing.

> docx

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

> 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.

> pentagi

Run AI-powered penetration testing with PentAGI. Use when a user asks to automate security testing, set up autonomous pentesting, deploy an AI-driven vulnerability scanner, build a self-hosted security testing platform, or conduct penetration tests with LLM-powered agents.

> 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.

> mem0

You are an expert in Mem0, the memory infrastructure for AI applications. You help developers add persistent, personalized memory to LLM-powered apps and agents — storing user preferences, conversation history, facts, and context that persists across sessions, enabling AI that remembers users, learns from interactions, and provides increasingly personalized responses.

> trigger-dev-v3

You are an expert in Trigger.dev v3, the background jobs platform for TypeScript. You help developers run long-running tasks, scheduled jobs, event-driven workflows, and AI pipelines in the cloud — with automatic retries, concurrency control, real-time logs, and up to 5-minute (or longer) execution times that serverless functions can't handle.

> load-balancer

Configure and optimize load balancers and reverse proxies using Nginx, HAProxy, and cloud ALBs. Use when someone asks to "set up load balancing", "configure Nginx reverse proxy", "set up HAProxy", "add SSL termination", "configure health checks", "proxy WebSocket connections", "rate limit traffic", or "set up failover". Covers L4/L7 balancing, SSL, rate limiting, caching, WebSocket proxying, and health checks.

> copilotkit

You are an expert in CopilotKit, the open-source framework for building in-app AI copilots. You help developers add AI-powered features to React applications — chat sidebars, AI-assisted text editing, contextual suggestions, and autonomous agents that can read app state, call actions, and modify the UI — turning any React app into an AI-native experience.

> offer-letter

Create formal employment offer letters with compensation details and terms. Use when a user asks to write an offer letter, draft an employment offer, create a job offer, compose a compensation letter, generate a formal hiring letter, or prepare an employment agreement for a candidate.

> crawl4ai

You are an expert in Crawl4AI, the open-source web crawler built for AI applications. You help developers extract clean, structured data from websites for LLM training, RAG pipelines, and content analysis — with automatic markdown conversion, JavaScript rendering, CSS-based extraction, LLM-powered structured extraction, and session management for multi-page crawling.

> localai

Expert guidance for LocalAI, the open-source drop-in replacement for OpenAI's API that runs locally. Helps developers self-host LLMs, image generators, audio transcription, and text-to-speech models with an OpenAI-compatible API — no GPU required, completely offline and private.

> passport-js

Add authentication to Express with Passport.js. Use when implementing login with Google/GitHub/email, OAuth, session auth, or social login.

> agent-sandbox

Run AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.

> launch-strategy

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum.

> ai-eval-ci

Run AI agent and LLM evaluations in CI/CD pipelines — automated quality gates that fail the build when AI output quality drops. Use when someone asks to "test my AI agent", "add evals to CI", "catch prompt regressions", "compare models", "evaluate LLM output quality", "set up AI quality gates", or "benchmark my agent before deploying". Covers eval frameworks (Cobalt, Promptfoo, Braintrust), LLM-as-judge scoring, threshold-based assertions, and GitHub Actions integration.

> gemini-cli

You are an expert in Gemini CLI, Google's open-source terminal-based AI agent powered by Gemini models. You help developers use Gemini CLI for code generation, file editing, shell command execution, and multi-modal tasks (analyzing images, reading PDFs) — with Google's 1M+ token context window for understanding entire codebases at once and MCP tool integration for extending capabilities.

> git-workflow

[AUTO-INVOKE] MUST be invoked BEFORE creating git commits, PRs, or code reviews. Covers Conventional Commits, PR templates, review requirements, and AI-assisted development rules. Trigger: any task involving git commit, git push, PR creation, or code review.

> github-copilot

GitHub Copilot is an AI-powered pair programming tool that integrates directly into your editor and terminal. It provides real-time code suggestions, natural language chat for explaining and refactoring code, slash commands for common operations, and workspace-aware agents that can reason across your entire codebase. Copilot accelerates development by turning intent into working code, reducing boilerplate, and helping developers navigate unfamiliar APIs and patterns.