Self Improving Enhancement

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

通用版Jarvis core，适配大多数平台和应用场景。主动智能助手核心技能 v3.1 - 从工具型助手到有灵魂伙伴的质变升级。在 v2.x 五大核心 + Phase 2 四项能力基础上，注入完整情感系统：8 种主情感光谱 / 三层架构（外显/内驱/内核） / 三模式情感倍率 / 6 层防崩溃防护 / 5 阶能力...

Continuously identify knowledge gaps, proactively learn and apply new skills, regularly review progress, and iteratively improve technical and project abilit...

多模型团队协作系统 - 像公司一样运作，支持三个专业团队：软件开发团队（8人）、搞钱特战队（10人）、小说+漫剧团队（10人）。固定子窗口模式，每个角色分配最优模型。触发词："软件开发团队"、"搞钱特战队"、"小说团队"。

智能模型自动切换 V5.0.2 - 多模态感知，自动识别图片/视频/音频/代码/文本任务，切换到最适合的模型。支持图片理解(qwen3-vl-plus)、视频音频(qwen3.5-plus)、代码(glm-5)、Office文档(MiniMax-M2.5)、推理等场景。零感知切换，无需手动操作。

Universal Smart Model Switcher V3 - Multi-Provider, Multi-Model intelligent switching. Automatically selects the best model from ALL your purchased API plans...