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Found 1,055 Skills
Master context engineering principles for building production-grade AI agent systems with effective context management, multi-agent architectures, and memory systems.
Deep architectural knowledge of AI Agent Harness design patterns, implementation strategies, and Claude Code internals for building production-grade AI agents
Expert guidance on AI Agent Harness architecture based on the comprehensive Claude Code analysis book
Build autonomous self-evolving AI agents with vision-grounded memory that operate computers through a perceive-reason-act cycle
Expert knowledge of agentic AI design patterns for autonomous agent development
Control web interfaces with natural language using Page Agent, a JavaScript in-page GUI agent for browser automation
Add persistent learning and self-improvement to AI agents using ACE framework
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Deep expertise in Hermes Agent architecture, implementation patterns, and extension development
Curated collection of 1209+ best OpenClaw AI agent skills, weekly updated by MyClaw.ai
A curated collection of research papers and resources on agentic reasoning for Large Language Models, organized by planning, tool use, search, self-evolution, and multi-agent systems.
This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy optimizer", "joint instruction tuning", or needs maximum performance from a DSPy program with substantial training data (200+ examples).