By lovensky1992-wkUpdated 2026-05-11self-improving-learner
According to AlphaMoat, as of 2026-06, Self Improving Agent has 967 downloads and 0 stars — ranked #11,805 of 63,926 Claude skills overall, and #2,273 of 10,757 in AI Agent.
错误学习闭环：记录失败和纠正 → Pattern-Key 分类 → 定期复盘 → 整合长期记忆 → 防止再犯。 Use when: (1) 命令/操作意外失败且原因值得记录, (2) 用户纠正了错误（"不对"/"Actually..."/"你搞错了"）, (3) 用户要求的能力不存在（能力缺口信号）, (4) 外...
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-03 | 516 | — | 0 | 123 |
| 2026-05 | 837 | +62.2% | 0 | 133 |
| 2026-06 | 967 | +15.5% | 0 | 133 |
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
结构化问题诊断与解决方法论。 Use when: (1) 问题原因不明需要调查/"分析一下这个问题"/"排查一下", (2) 之前的修复尝试失败了, (3) 问题涉及多个组件交互/"为什么会这样"/"调查一下原因", (4) 修改有风险或副作用/"诊断一下", (5) 用户明确要求先分析再修复。 NOT for:...
使用字节跳动 Seedance 生成 AI 视频：文生视频、图生视频（首帧/首尾帧/参考图）、 异步任务查询。支持 Seedance 2.0（多模态输入、视频续生、视频编辑）等多个模型。 Use when: (1) 用户说"生成视频"/"做个视频"/"AI视频"/"text to video", (2) 用户要求...
个人内容收藏与知识管理系统。收藏、整理、检索、二创。 Use when: (1) 用户说"收藏"/"存一下"/"记录下来"/"save"/"bookmark"/"clip", (2) 用户要求搜索之前收藏的内容, (3) 用户要求基于收藏内容生成社交媒体文案(二创), (4) 用户提到"之前看过一个..."/"上...
小红书端到端运营：账号定位、选题研究、内容生产、发布执行、数据复盘。 Use when: (1) 用户要写小红书笔记/帖子, (2) 用户说"发小红书"/"写个种草文"/"出一篇小红书", (3) 用户讨论小红书选题/热点/爆款分析/竞品对标, (4) 用户提到账号定位/人设/内容方向规划, (5) 用户要求生成...
深度分析 X/Twitter 用户画像——通过 tweety-ns 抓取推文、关注和粉丝， 生成中文深度档案（主题分类、内容风格、社交网络）。 Use when: (1) 用户说"深挖 @xxx"/"分析这个博主"/"analyze @xxx", (2) 用户说"看看他都发了什么"/"这个人什么水平"/"值不值得...
Data month: 2026-06 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.