Team Shared Memory

A skill where the agent logs it's own findings for self-improvement

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Use when 用户提到“xz01规范”时必须命中本技能；xz01规范=xz01-dev-skill。用于 Hermes + Claude Code 围绕用户现有 OpenClaw/xz01 模板资料进行角色编排、开发学习范围、测试/规范分工，并严格将 /root/.openclaw 作为只读学习资料库；编码修...

工作进度检查技能 - 定期检查待办事项 + 子代理超时/消失检测与自动恢复 + 全量会话监控

记忆管理技能 - 三层时间架构 + 自动搜索/提取/会话笔记统一 Hook + 记忆巩固（整合 auto-dream）

内存快照分析（v8 heap snapshot）+ 性能分析（perf_hooks）

错误监控 - 扫描 JSON 日志、捕获 ERROR 级别错误、OpenClaw 系统级错误修复建议