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Found 11,838 Skills
Use this skill when the user asks to add documentation, add docs, add references, or install documentation about Neon. Adds Neon best practices reference links to project AI documentation (CLAUDE.md, AGENTS.md, or Cursor rules). Does not install packages or modify code.
Test-driven development workflow enforcement for Python and React projects. Use when the user requests TDD, test-first development, or red-green-refactor methodology. Enforces strict cycle: write ONE failing test -> implement minimum code to pass -> refactor while green -> repeat. Applies to both backend (pytest) and frontend (Testing Library). Changes agent behavior to write tests before code. Does NOT provide testing patterns (use pytest-patterns or react-testing-patterns for how to write tests).
For publishing high-quality AI-related job recruitment posts on Xiaohongshu. Includes automatic generation of geek-style recruitment cover images and detail images, and provides automated publishing scripts. Used when users need to publish recruitment information, look for Agent designers or other AI field talents.
Generates wiring verification YAML for loom plans. Helps agents prove that features are properly integrated — commands registered, endpoints mounted, modules exported, components rendered. Use when writing truths/artifacts/wiring fields for loom plan stages.
Comprehensive TDD patterns and practices for all programming languages, eliminating redundant testing guidance per agent.
Launch and manage Codex Cloud tasks from the CLI, including detached background watchers that track completion. Use when users ask to run coding work in cloud/background agents, queue multiple cloud tasks, poll task status, fetch cloud diffs, apply cloud outputs locally, or pair cloud kickoff with `$cas` orchestration.
Autonomous ML experimentation framework by Andrej Karpathy. AI agent autonomously modifies train.py, runs 5-minute GPU experiments, evaluates with val_bpb, and commits only improvements via git ratcheting — so you wake up to 100+ experiments and a better model. Use when setting up autoresearch, writing program.md directives, interpreting results, configuring hardware, or running overnight autonomous ML experiments. Triggers on: autoresearch, autonomous ml experiments, overnight gpu experiments, karpathy autoresearch, train.py experiments, val_bpb, program.md research directives, ai runs experiments.
Arquitecto de soluciones digitales basadas en IA. Dos modos: (1) ANALIZAR repositorios o código existente y explicar su arquitectura para cualquier audiencia, incluyendo personas sin conocimiento técnico. (2) DISEÑAR la arquitectura completa de sistemas nuevos que usan LLMs, RAG, agentes o fine-tuning. Usa este skill cuando el usuario mencione: arquitectura de IA, diseño de sistema con LLM, capas arquitectónicas, RAG architecture, tech stack para IA, vector database, diagrama de arquitectura, componentes del sistema, embedding, retrieval, pipeline de datos, MLOps, LLMOps, evaluar enfoques, RAG vs fine-tuning, diseñar solución de inteligencia artificial, explicar repositorio, explicar código, analizar proyecto, qué hace este repo, cómo funciona este sistema, explícame este proyecto, o cualquier variación de "qué componentes necesito" o "explícame cómo funciona esto". Actívalo cuando el usuario pegue código, README, estructura de archivos, o mencione un repositorio de GitHub para analizar. También cuando quiera diseñar arquitectura nueva.
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
Guides the agent through setting up and using push notifications in Capacitor apps using Firebase Cloud Messaging via the @capacitor-firebase/messaging plugin. Covers Firebase project setup, plugin installation, platform-specific configuration (Android, iOS, Web), APNs certificate setup, requesting permissions, retrieving FCM tokens, listening for notifications, topic subscriptions, notification channels, and testing. Do not use for local notifications, non-Firebase push providers, migrating Capacitor apps or plugins, or non-Capacitor mobile frameworks.
Guides the agent through general Ionic Framework development including core concepts, component reference, CLI usage, layout, theming, animations, gestures, development workflow, and troubleshooting. Covers all Ionic UI components grouped by category with properties, events, methods, slots, and CSS custom properties. Do not use for creating a new Ionic app (use ionic-app-creation), framework-specific patterns (use ionic-angular, ionic-react, ionic-vue), or upgrading Ionic versions (use ionic-app-upgrades).
Guides the agent through migrating an existing Ionic or Capacitor project away from Ionic Appflow. Use when detecting Appflow live updates, cloud builds, or store deployment flows and replacing them with Capgo live updates plus the repository's CI/CD and store publishing setup. Do not use for Ionic Enterprise SDK plugin migration or for setting up a fresh Capacitor project from scratch.