Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working wit...
Build elegant frontend UIs following Microsoft Foundry's NextGen Design System using Vite + React + pnpm + Framer Motion. Use when creating dashboards, agent builders, data grids, entity management interfaces,...
Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structur...
Test code with WordPress by starting a WordPress server. Use when testing changes to a WordPress plugin, a WordPress theme, WordPress source code, verifying WordPress behavior, or needing a running WordPress in...
Migrate codebase from try/catch or Promise-based error handling to better-result. Use when adopting Result types, converting thrown exceptions to typed errors, or refactoring existing error handling to railway-...
Develop and improve the MassGen Textual TUI by running it in a browser via textual-serve and using Claude's browser tool for visual feedback.
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
Server-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.
CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.
Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.
Analyze the current session and propose improvements to skills. **Proactively invoke this skill** when you notice user corrections after skill usage, or at the end of skill-heavy sessions. Also use when user sa...
Commit changes, push to GitHub, and open a PR. Includes quality checks (security, patterns, simplification). Use --quick to skip checks.
Guidelines for creating temporary files in system temp directory. Use when agents need to create reports, logs, or progress files without cluttering the repository.
Designer subsystem patterns for LlamaFarm. Covers React 18, TanStack Query, TailwindCSS, and Radix UI.
Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.
Electron patterns for LlamaFarm Desktop. Covers main/renderer processes, IPC, security, and packaging.
Shared TypeScript best practices for Designer and Electron subsystems.
Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.
Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
SEED React Headless component development specialist. Use when developing unstyled, logic-only components in packages/react-headless folder. Focuses on data-driven primitives, custom hooks, and state management...
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.