Self Evolve

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

Deep interview analysis using dynamic expert routing. Automatically selects top domain thinkers based on role type to distinguish genuine capability from performance, identifying Battle Scars over Methodology Recitation. Applicable to any professional position including product management, engineering, design, operations, sales, and data science.

探讨/决策型会议与谈话纪要（结论/共识/分歧/决策轨迹/隐含假设/风险机会/行动项）+ Zettelkasten 连接。Use when 用户要整理会议纪要、复盘讨论、把多方探讨变成可执行资产。信息/学习型谈话（培训、分享会、单向汇报）请改用 deep-learning。关键词：会议纪要、会议、谈话、讨论、mee...

Analyze resumes and design interview strategies using evidence-based methodology. Transforms interview prep from "read resume → ask questions" into "define standard → forensic evidence → future simulation". Combines Geoff Smart's Topgrading, Lou Adler's performance-based hiring, and Daniel Kahneman's bias control. Use when preparing for interviews, creating structured interview guides, or designing questions to validate candidate competencies.

全能深度阅读工具（All-in-One Deep Reading）。适用于书/长文/研报/论文的深度消化。Use when 用户要深度消化一本书/长文/研报/论文并构建知识网络、产出结构笔记与原子笔记。融合 Mortimer Adler（结构）、Feynman（解释）、Luhmann（网络）、Pragmatist（工具化）、Critics（辩论）；强制 High Fidelity 案例保留与 Actionable 工具提取。关键词：深度阅读、结构笔记、deep learning、卢曼。

默认模式网络（DMN）是模拟大脑发散性思维的自主思考系统。在用户无主动交互且系统空闲时触发，自动进行内部记忆整合、跨界创意碰撞、意义生成和引入批判性视角的自我辩论。适合在空闲时段自动深化知识库。