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
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
using-lwc is the strongest overall pick here because it has a 64/100 readiness score and fits GitHub automation.
Strongest overall
using-lwc
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
using-lwc
Best first install candidate based on install readiness and adoption.
Freshest repo
using-lwc
Most recent maintenance signal among this shortlist.
| Signal | using-lwc Source-grounded durable memory, document graph, and code intelligence workflows for Codex, Claude Code, Cursor, and compatible agents. |
|---|---|
| Quality | 65/100 Promising |
| Decision verdict | 64/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 30 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 13, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Codex, Claude Code, Cursor, OpenAI Agents |
| Warnings | Low GitHub adoption signal · Automatic installer downloads a release binary; SHA-256 protects integrity but is not publisher code signing. · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add JanYork/llm-wiki-cli --skill using-lwc -g |