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Skills IA Développement

Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.

Catégories: Développement

52,897–52,920 sur 81,978

Développement Effacer les filtres

Explorer

GitHub

using-jax

yallup

Applies JAX patterns for scientific Python development. Use when working with JAX, distrax, numpyro, blackjax, or scientific computing. Covers vmap, JIT, RNG handling.

GitHub

plotting

yallup

Creates publication-quality scientific plots. Use when making plots, figures, or visualizations. Applies tueplots TMLR styling, LaTeX rendering, no titles.

GitHub

reviewing-code

yallup

Reviews code and executes tasks with senior engineer discipline. Use when reviewing code, implementing features, fixing bugs, or any coding task. Enforces minimal changes and production-safe practices.

GitHub

running-python

yallup

Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.

GitHub

org-mode-file-generation-and-editing

majorgreys

Comprehensive org-mode file generation and editing with proper syntax, formatting, and structure. Use when Claude needs to work with org-mode files (.org) for: (1) Creating new org-mode documents, (2) Editing e...

GitHub

mcp-2025-patterns

frankxai

Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.

GitHub

finops-ai-expert

frankxai

Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management

GitHub

claude-sdk-expert

frankxai

Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices

GitHub

rag-expert

frankxai

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures

GitHub

agentic-orchestration

frankxai

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

GitHub

nvidia-nim

frankxai

NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud

GitHub

work-summary-updater

M6saw0

Update work_index/index.json and index.json based on recent work folder activity and work_index.db. Use at the end of a task.

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.

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