Machine-learning workflows, model tooling, prompt engineering and AI-building blocks for developers working at the edge of what Claude can do.
293 items in this category.
293 items
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claud…
Guide for creating high-quality Model Context Protocol servers with best practices
Persistent memory system that captures coding session context, compresses observations with AI, and injects relevant history into future sessions with SQLite storage
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context. Never work with outdated docs again.
Create distinctive, production-grade frontend interfaces with high design quality. UI/UX specialist plugin that generates polished, creative code avoiding generic AI aesthetics. Supports React, Vue, Svelte, and vanilla HTML/CSS with modern design patterns.
AI code review agent for GitHub and GitLab. View and resolve Greptile's PR review comments directly from Claude Code. Natural language codebase search and intelligent code analysis.
Convert PRDs into structured, prioritized, implementation-ready task lists that AI agents can read and update
AI-powered development tools that get smarter with every use, featuring 24 specialized agents, 16 commands, and 11 skills
GAN Harness — Planner agent. Expands a one-line prompt into a full product specification with features, sprints, evaluation criteria, and design direction.
Use this agent to align technological decisions with engineering principles and organizational standards. This agent acts as a CTO, evaluating technical recommendations against established engineering frameworks, risk assessment methodologies, and business alignment criteria before documentation creation. It ensures all technical decisions follow systematic methodology, evidence-based risk reduction, and AI-first development principles while maintaining alignment with venture success metrics.
AI job search command center — evaluate offers, generate CVs, scan portals, track applications
Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy enforcement, trust scoring, and audit trails in agent systems.
Expert assistant for developing Model Context Protocol (MCP) servers in C#
Unified Comet Opik agent for instrumenting LLM apps, managing prompts/projects, auditing prompts, and investigating traces/metrics via the latest Opik MCP server.
Build applications with the GitHub Copilot SDK across multiple programming languages. Includes comprehensive instructions for C#, Go, Node.js/TypeScript, and Python to help you create AI-powered applications.
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
Interactive verification agent for AI-generated output. Runs a three-layer pipeline (self-audit, source verification, adversarial review) and produces structured reports with source links for human review.
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK.
Complete toolkit for building Model Context Protocol servers in Java using the official MCP Java SDK with reactive streams and Spring Boot integration.
Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.