Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Nanoclaw is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.

Strongest overall

Nanoclaw

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Nanoclaw

Best first install candidate based on install readiness and adoption.

Freshest repo

AgentGuide

Most recent maintenance signal among this shortlist.

SignalOpenclaw Auto Dream

Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai

TencentDB Agent Memory

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

AgentGuide

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习|数据合成

Nanoclaw

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

Quality
75/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
86/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption553 stars
Verified outcomes are shown on each skill page
9.1K stars
Verified outcomes are shown on each skill page
8.0K stars
Verified outcomes are shown on each skill page
30K stars
Verified outcomes are shown on each skill page
FreshnessMar 31, 2026Jul 17, 2026Aug 4, 2026Jul 18, 2026
Use-case fit
Workflow fit
Platform hintsHTML, AI Agents, Claude CodeTypeScript, AI Agents, Claude CodeHTML, AI Agents, Claude Code, LangChainTypeScript, AI Agents, Claude Code, OpenAI Agents
WarningsNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
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Install
$ npx skills add LeoYeAI/openclaw-auto-dream
$ npx skills add Tencent/TencentDB-Agent-Memory
$ npx skills add adongwanai/AgentGuide
$ npx skills add nanocoai/nanoclaw