According to AlphaMoat, as of 2026-06, 记忆使用技能 has 1,079 downloads and 2 stars — ranked #10,235 of 63,926 Claude skills overall, and #1,947 of 10,757 in AI Agent.
解决AI记忆混乱问题——"今天讲明天忘"。通过文件系统和规则流程实现持久记忆，确保新任务开始时自动回顾上下文，而不是靠"想"。核心机制：任务开始判断→读取记忆→执行→保存。适用于频繁切换话题或任务的AI协作场景。
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-03 | 143 | — | 0 | 47 |
| 2026-05 | 540 | +277.6% | 0 | 87 |
| 2026-06 | 1,079 | +99.8% | 2 | 87 |
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
Data month: 2026-06 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.