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Skills IA content media llm ai

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

Catégories: content media llm ai

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Explorer

GitHub

using-superpowers

DYAI2025

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrit...

GitHub

google-image-gen

ypfaff

Generate images using Google's Gemini API. Use this skill when the user wants to generate, create, or edit images with AI. Keywords: image generation, create image, generate picture, AI art, edit image, Gemini,...

GitHub

search-memory

X-McKay

Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory,...

GitHub

filter-duplicates

X-McKay

Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.

GitHub

analyze-article

X-McKay

Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.

GitHub

compose-digest

X-McKay

Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.

GitHub

context-compression

X-McKay

Compresses large text into minimal tokens while retaining key facts, entities, themes, and events. Used for reducing context window usage.

GitHub

customer-research

zircote

This skill should be used when the user asks to "understand customers", "customer research", "user personas", "customer needs analysis", "buyer journey mapping", "voice of customer", "customer segmentation", "u...

GitHub

r-development

CodingKaiser

Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude...

GitHub

technology-assessment

zircote

This skill should be used when the user asks to "assess technology", "technology evaluation", "tech stack analysis", "technical feasibility", "technology trends", "build vs buy", "technology roadmap", "architec...

GitHub

agents-py

codeSTACKr

Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Ag...

GitHub

trend-modeling

zircote

This skill should be used when the user asks to "model trends with limited data", "three-valued logic analysis", "scenario generation", "transitional graphs", "qualitative trend analysis", "uncertain data analy...

GitHub

mission-solo

thebrownproject

HOUSTON executes feature tasks directly. No agents. Best for small features (1-3 tasks).

GitHub

agents-ts

codeSTACKr

Build LiveKit Agent backends in TypeScript or JavaScript. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Node.js Agents SDK (@livekit/agents-js)....

GitHub

context-engineering-pack

BrianCLong

Summit/IntelGraph context-engineering skill pack. Routes to the vendored Agent Skills for Context Engineering library via progressive disclosure, and applies repo-specific guardrails (atomic PRs, evidence, gove...

GitHub

prompt-engineer

MH4GF

MUST use when editing CLAUDE.md, SKILL.md, or slash commands. Applies prompt engineering best practices regardless of task size.

GitHub

skill-creator

breverdbidder

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

smart-router

breverdbidder

Multi-tier LLM routing for cost optimization in the BidDeed.AI ecosystem. Routes tasks to appropriate model tier based on complexity, achieving 90% FREE tier processing. Use when making API calls, selecting mod...

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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