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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 1 skill

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Decision summary

Letterboxd Recommendations is the strongest overall pick here because it has a 79/100 readiness score and fits Browser automation.

Strongest overall

Letterboxd Recommendations

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

Fastest prototype

Letterboxd Recommendations

Best first install candidate based on install readiness and adoption.

Freshest repo

Letterboxd Recommendations

Most recent maintenance signal among this shortlist.

SignalLetterboxd Recommendations

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Quality
80/100
Strong
Decision verdict
79/100
Strong shortlist

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

Adoption400 stars
0 installs
FreshnessJun 5, 2026
Use-case fit
Browser automationWeb scrapingCoding agents
Workflow fit
Web data pipelineContent growth agent
Platform hintsPython, Web Automation, Claude Code, Browser agents
WarningsNo OpenAgentSkill engagement data yet
Best for
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Browser automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add sdl60660/letterboxd_recommendations