glm-v-model

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

基于智谱 GLM-OCR、GLM-4.7 及 GLM-4.6V 的多模态文档深度解析工具。 Use when: - 需要高精度提取文档（PDF/图片）中的表格并转换为 Markdown 格式 - 需要从文档页面中自动裁剪并提取插图、图表为独立文件 - 需要对提取的图表进行深度语义理解（基于 GLM-4.6V 视觉分析） - 需要对提取的表格数据进行逻辑分析（基于 GLM-4.7 文本分析） 核心架构： 1. 视觉提取：GLM-OCR 2. 语义理解：GLM-4.7 (纯文本/表格) + GLM-4.6V (多模态/图像)

PDF document parsing tool based on local MinerU, supports converting PDF to Markdown, JSON, and other machine-readable formats.

阿里云DashScope Wan2.6文生图工具。使用阿里云百炼平台的Wan2.6-t2i模型生成图片。 当用户需要：AI生成图片、文生图、从文字生成图像时触发。 需要DASHSCOPE_API_KEY环境变量（已在系统中配置）。

Generate videos from text descriptions using ZhipuAI CogVideoX-3 model. Supports text-to-video, image-to-video, and first/last frame-to-video generation. Aut...