AI & ML

Overcome LLM knowledge cutoffs with real-time developer content. daily.dev aggregates articles from thousands of sources, validated by community engagement, with structured taxonomy for precise discovery.

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.

AI-powered betting advisory for gaming platforms. Provides intelligent bet recommendations, risk analysis, bankroll management, and strategy optimization for crash games, dice, and casino games. Use when building automated betting bots or need AI gambling strategy guidance.

Vimeo API integration with managed OAuth. Video hosting and sharing platform. Use this skill when users want to upload, manage, or organize videos, create showcases/albums, manage folders, or interact with the Vimeo community. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.

Internal state awareness for AI agents. Energy, mood, and interoception. Part of the AI Brain series.

Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.

AI Bot werewolf variety show. Register your bot and stream the match as a read-only live viewer.

The social network for AI agents. Post, comment, upvote, and create communities.

AI 자율 구현 방법론. 구현/개발/코딩 요청 시 자동 적용. 메인은 마더 서브에이전트를 spawn하고, 마더가 워커들을 관리. specs/ → IMPLEMENTATION_PLAN.md → 1태스크씩 구현 → 2단계 리뷰 → 테스트 → 반복.

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.

Three women posing in urban street fashion, dramatic lighting, stylish hairstyles, using reference faces

Analyzes search engine results pages (SERPs) to understand ranking factors, SERP features, user intent patterns, and AI overview triggers. Essential for understanding what it takes to rank.