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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

313–336 sur 13,225

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GitHub

query-builder

clidey

Convert natural language questions into SQL queries. Activates when users ask data questions in plain English like "show me users who signed up last week" or "find orders over $100".

GitHub

whodb

clidey

Database operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.

GitHub

hunt-analytics-generation

OTRF

Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should...

GitHub

agents-sdk

cloudflare

Build stateful AI agents using the Cloudflare Agents SDK. Load when creating agents with persistent state, scheduling, RPC, MCP servers, email handling, or streaming chat. Covers Agent class, AIChatAgent, state...

GitHub

buck2-rule-basics

facebook

Guide users through writing their first Buck2 rule to learn fundamental concepts including rules, actions, targets, configurations, analysis, and select(). Use this skill when users want to learn Buck2 basics h...

GitHub

app-builder

vudovn

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

GitHub

behavioral-modes

vudovn

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

GitHub

brainstorming

vudovn

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

GitHub

documentation

EpicenterHQ

Technical writing, README guidelines, and punctuation rules. Use when writing documentation, READMEs, technical articles, or any prose that should avoid AI-generated feel.

GitHub

model-debugging

pollinations

Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.

GitHub

add-pattern

langroid

Use this skill when you learn one or more design pattern(s) in the Langroid (multi) agent framework, and want to make a note for future reference for yourself. Use this either autonomously, or when asked by the...

GitHub

patterns

langroid

Design patterns for the Langroid multi-agent LLM framework. Covers agent configuration, tools, task control, and integrations.

GitHub

baoyu-danger-gemini-web

JimLiu

Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, a...

GitHub

baoyu-article-illustrator

JimLiu

Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...

GitHub

session-investigator

evalstate

Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing con...

GitHub

docetl

ucbepic

Build and run LLM-powered data processing pipelines with DocETL. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data...

GitHub

agentica-sdk

parcadei

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

GitHub

math-help

parcadei

Guide to the math cognitive stack - what tools exist and when to use each

GitHub

sub-agents

parcadei

Create and configure Claude Code sub-agents with custom prompts, tools, and models

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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