Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
EVM blockchain operations including balance queries, transactions, token transfers, smart contract interactions, and ENS lookups. Use when working with Ethereum, Polygon, Arbitrum, Optimism, Base, BSC, Avalanch...
Autonomous long-running development from specifications. Use when user wants to build an application from a spec file, run continuous development, or automate feature implementation. Triggers on phrases like "m...
Configure Vitest for unit and integration testing. Use when setting up a test framework, when no test runner is detected, or when the user asks to configure testing.
Programmatically update marathon-ralph state file using deterministic jq commands. Use this instead of manually editing the JSON file.
Detects project type, package manager, and monorepo structure. Returns correct commands for test/build/lint/dev. Run at project initialization and cache results in state. Use before running any build/test comma...
Write Playwright E2E tests using fixtures and best practices. Use when creating E2E tests, writing browser automation tests, or testing user flows.
Configure Playwright for E2E testing. Use when setting up end-to-end tests, when no E2E framework is detected, or when the user asks to configure browser testing.
Visually verify implemented features work correctly before marking complete. Use when testing UI changes, verifying web features, or checking user flows work in the browser.
Assist with code review, refactoring, and explanations. Use when analyzing or improving code.
Perform calculations and math operations. Use for arithmetic, conversions, or formulas.
Summarize text, documents, or conversations. Use when you need a concise overview.
Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specializ...
Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instructions, or debugging poor model responses.
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch...
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended...
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like D...
Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text,...
Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the...
Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven task...
Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models...
Compare 3D CAD models using boolean operations (IoU, Dice, precision/recall). Use when evaluating generated models against gold references, diffing CAD revisions, or computing similarity metrics for ML training...
Render GLB 3D models to PNG images for visual verification. Use when you need to SEE your generated 3D model, verify geometry, check visual correctness, or show results to users. Triggers on: render GLB, previe...
Optimize and post-process GLB/glTF 3D models. Use when compressing models for web delivery, reducing file size, simplifying geometry, inspecting model stats, merging models, or converting textures. Triggers on:...
CAD modeling with build123d Python library. Use when creating 3D models, exporting to GLB/STEP/STL, or doing boolean operations (union, difference, intersection). Triggers on: CAD, 3D modeling, sphere, box, cyl...
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.