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Skills IA lifestyle llm ai

Découvrez les skills lifestyle llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: lifestyle llm ai

2,449–2,472 sur 13,225

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Explorer

GitHub

oss

PaulRBerg

This skill should be used when the user asks to "create a pull request", "create PR", "open PR", "create an issue", "file an issue", "create a GitHub issue", "create a Claude Code issue", "report a bug in Claud...

GitHub

oracle-codex

PaulRBerg

This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "Codex review", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinio...

GitHub

md-docs

PaulRBerg

This skill should be used ONLY when the user asks to update README.md, CLAUDE.md, AGENTS.md, or CONTRIBUTING.md. Trigger phrases include "update README", "update context files", "init context", "create CLAUDE.m...

GitHub

oracle-gemini

PaulRBerg

This skill should be used when the user asks to "use Gemini", "ask Gemini", "consult Gemini", "Gemini review", "use Gemini for planning", "ask Gemini to review", "get Gemini's opinion", "what does Gemini think"...

GitHub

vercel-ai-sdk

wsimmonds

Guide for Vercel AI SDK v5 implementation patterns including generateText, streamText, useChat hook, tool calling, embeddings, and MCP integration. Use when implementing AI chat interfaces, streaming responses,...

GitHub

add-skill

htlin222

Create new Claude Code skills with proper structure. Use when user wants to add a skill, create a slash command, or automate a workflow. Fetches official docs and guides through skill creation.

GitHub

skill-gen

htlin222

Generate new Claude Code skills from user requirements. Use when user asks to create a new skill, slash command, or wants to automate a workflow. Guides through skill creation with proper structure and best pra...

GitHub

data-engineer

htlin222

Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.

GitHub

ml-engineer

htlin222

Implement ML pipelines, model serving, and feature engineering. Use for ML model integration or production deployment.

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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