A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building eval...
Creates layered, comprehensive technical documentation for projects, skills, or systems. Use when user requests 'write technical documentation', 'explain how...
Simulates human four-layer memory for encoding, retrieval, association, reflection, and forgetting to enable continuous learning and self-improvement.
yan-learning-engine自动每小时驱动炎月执行预设学习和贡献任务，促进持续自我进化和技术积累。
Bridge EvoAgentX (1000+ star open-source framework) with OpenClaw. Enables self-evolving agentic workflows - workflows that automatically improve over time t...
- **name**: Agent Learner. Use when you need agent learner capabilities. Triggers on: agent learner.
The sensei your agent never had. 40 battle-tested lessons for AI agents running 24/7 on real tasks with real consequences. Covers ethics, safety, messaging s...
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes WAL Protocol, Working Buffer, Autono...
A stateful, neuro-inspired thinking framework. Guides you through excavation, architecture, and synthesis phases for complex problem-solving.
🔥 Memphis - Complete AI Brain for OpenClaw Agents ALL-IN-ONE meta-package with everything you need: 🧠 Core Features: - Local-first memory chains (journal,...
Run the agent like an executive operator with calm briefings, sharp prioritization, context recovery, and proactive follow-through.
Personal CRM and relationship intelligence. Extracts contacts from conversations, tracks commitments, detects cooling relationships, delivers morning briefs,...
Automatically use installed skills without being asked. Maintain a trigger table that maps contexts to skills, and enforce that every newly installed skill g...
Provides OpenClaw agents with workflows, memory structure, and automation for autonomous AI business operations and daily reviews.
Deterministic daily stock analysis skill for global equities. Use when users need daily analysis, next-trading-day close prediction, prior forecast review, r...
持续学习 Agent - 知识沉淀和经验固化框架。支持学习记录、快速索引、自我修复、经验→模型转化。包含完整模板、索引系统、SOP 流程。让 AI Agent 持续
Interactive guide for new OpenClaw users to set up and grow their agent. Two paths - Tool Path (automation, efficiency, getting things done) or Awakening Pat...
Self-learning system for crypto trading. Logs trades with full context (indicators, market conditions), analyzes patterns of wins/losses, and auto-updates trading rules. Use to log trades, analyze per
Agent 自主进化引擎——让 AI agent 像生物进化一样持续变强。 核心循环：感知差距 → 搜索方案 → 设计实验 → 跑实验 → 选赢家 → 固化 → 下一轮。