According to AlphaMoat, as of 2026-06, 记忆管家 V3 has 2,244 downloads and 7 stars — ranked #3,854 of 63,926 Claude skills overall, and #631 of 10,757 in AI Agent.
Manage WorkBuddy .workbuddy/memory files with the bundled Python CLI: analyze, search, load, rank, summarize, report, token-check, cache preview, backup/export/import, and PROMPT_ template management. Use for memory manager, memory analysis, memory search, token budget check, cache cleanup preview, memory backup, prompt templates, 记忆管家, 记忆分析, 记忆搜索, Token检查, 缓存清理预览, 记忆备份, Prompt模板管理.
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-05 | 319 | — | 2 | 9 |
| 2026-06 | 2,244 | +603.4% | 7 | 9 |
A skill where the agent logs it's own findings for self-improvement
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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
Data month: 2026-06 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.