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

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

Strongest overall

Claude Mem

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

Fastest prototype

Claude Mem

Best first install candidate based on install readiness and adoption.

Freshest repo

Nanoclaw

Most recent maintenance signal among this shortlist.

SignalOpenclaw Dashboard

🔐 Secure, real-time monitoring dashboard for OpenClaw AI agents. Auth, TOTP MFA, cost tracking, live feed, memory browser and more.

Claude Mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

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

Kestra

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

Quality
71/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
82/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption683 stars
Verified outcomes are shown on each skill page
84K stars
Verified outcomes are shown on each skill page
30K stars
Verified outcomes are shown on each skill page
27K stars
Verified outcomes are shown on each skill page
FreshnessMar 17, 2026Jun 24, 2026Jul 18, 2026Jun 17, 2026
Use-case fit
Workflow fit
Platform hintsHTML, AI Agents, Claude Code, Browser agentsJavaScript, AI Agents, Claude Code, OpenAI AgentsTypeScript, AI Agents, Claude Code, OpenAI AgentsJava, AI Agents, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forSports analytics 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 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
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Install
$ npx skills add tugcantopaloglu/openclaw-dashboard
$ npx skills add thedotmack/claude-mem
$ npx skills add nanocoai/nanoclaw
$ npx skills add kestra-io/kestra