AI & LLMs — OpenClaw Skills

Skills for integrating large language models, prompt engineering, and AI-powered automation into your workflows.

• GPT Prompt Chainer — Chain multiple GPT prompts together with context passing for complex multi-step AI workflows.
• LLM Router — Automatically route prompts to the best model based on task complexity, cost, and latency requirements.
• Prompt Optimizer — Automatically optimize and compress prompts for better results and lower token costs.
• Take the Wheel — Let OpenClaw autonomously write long-form content — blog posts, articles, and documentation with minimal guidance.
• Context Window Manager — Intelligently manage large context windows — chunk, summarize, and prioritize content to fit any model's limits.
• Token Counter — Accurately count tokens for any model, estimate costs, and track usage across all your AI workflows.
• Embeddings Manager — Generate, store, and search vector embeddings for semantic search, clustering, and recommendation systems.
• RAG Pipeline — Build production-ready Retrieval-Augmented Generation pipelines with document ingestion, chunking, and retrieval.
• Vision Analyzer — Analyze images, screenshots, diagrams, and documents using multimodal AI with structured output extraction.
• Agent Orchestrator — Coordinate multiple AI agents working together on complex tasks with role assignment and handoff protocols.
• Fine-Tune Studio — Fine-tune open-source models with your data — manage datasets, training runs, and deployments from OpenClaw.
• Model Evaluator — Benchmark and compare AI models with automated evaluation suites, A/B tests, and quality scoring.