Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
This skill provides functionality to properly expose a ChatKit server via FastAPI routes. It handles the integration between FastAPI request/response cycle and the ChatKit server, with proper request processing...
This skill provides guidance for implementing secure authentication using Better Auth for Next.js frontend and JWT verification for FastAPI backend.
Comprehensive Docker containerization guidance using multi-stage builds, Docker Hardened Images, and Docker AI Agent (Gordon) for Node.js/Next.js applications. Use when containerizing applications with best pra...
This skill helps create ChatKit store implementations with database integration, following best practices and avoiding common errors we've solved in previous implementations.
This skill provides commands for managing Python projects using `uv`, a fast Python package installer and resolver.
This skill provides guidance for creating consistent, well-structured forms in Next.js/react applications using shadcn UI components, react-hook-form, and Zod validation.
This skill helps create ChatKit server implementations that integrate with databases and openai-agents, following best practices for conversation management and message persistence.
This skill helps create Python agents using the openai-agents package, following best practices for agent definition and configuration.
Skill for configuring OpenAI Agents SDK to work with alternative LLM providers using base URL and API key
Comprehensive Kubernetes deployment and scaling for containerized applications from hello world to professional production systems. Use this skill when deploying, managing, and scaling containerized application...
Comprehensive guidance for using uv (Python package manager) in Docker environments with best practices for multi-stage builds, caching, and optimization. Use when containerizing Python applications with uv for...
This skill provides guidance for creating feature specifications in the Spec-Driven Development process.
This skill helps create React chat widgets using the ChatKit React library, following best practices for floating chat interfaces with thread persistence and proper configuration.
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 to...
Task-driven development workflow with TODO tracking. Use when user says "dev", "dev-workflow", or asks to work on tasks, develop features, or proceed with implementation.
Interactive terminal session management using tmux. Use when TTY or stdin is required for interactive commands (vim, top, less, ssh, etc.). Provides persistent sessions that maintain state across multiple inter...
Code review workflow with TODO tracking. Use when user says "review", "review-workflow", or asks to review code, PRs, or changes.
AI-powered commercial video generation with multi-agent workflow for creating storyboards, image prompts, and video animation prompts
Use when creating commercial advertisements, promotional videos, or marketing content for technical products, especially card readers or IoT devices. Also triggers for storyboard generation, 2D animation planni...
Clinical decision support for prostate cancer: risk stratification (NCCN/EAU/CAPRA), LNI prediction (Briganti/Roach), PSADT/BCR assessment, salvage RT planning, and Polish NFZ drug programmes (B.56 for apalutam...
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
Polish NFZ drug programme B.56 for prostate cancer (ICD-10 C61). Use when helping clinicians with patient qualification, drug selection, dosing, monitoring, or follow-up for mHSPC, nmCRPC, or mCRPC treatment wi...
Evaluates and judges PEIL-generated prompts for quality and effectiveness. Use when assessing prompt quality, providing feedback on system prompts, rating prompts against criteria, or improving prompt engineeri...
Prompt Engineering Instructional Language (PEIL) - generates optimised system prompts for AI agents and LLMs. Use when creating agent system prompts, improving prompt quality, applying research-backed prompting...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.