ln-641-pattern-analyzer
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
npx skills add majiayu000/claude-skill-registry --skill ln-641-pattern-analyzer-levnikolaevich-claude-code-skills-4 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
> **Paths:** This is a Codex-native adapter. Load canonical files relative to the skills repo root. # ln-641-pattern-analyzer Codex Adapter ## Mandatory Read **MANDATORY READ:** Load `skills-catalog/ln-641-pattern-analyzer/SKILL.md`. ## Workflow 1. Load the canonical skill file listed above. 2. Follow the canonical skill exactly. 3. Treat this adapter as discovery metadata only; do not duplicate or override canonical instructions. ## Definition of Done - [ ] Canonical skill loaded - [ ] Canonical workflow followed - [ ] Result reported per canonical skill contract **Version:** 1.0.0 **Last Updated:** 2026-04-24
- Mandatory Read
- Workflow
- Definition of Done
What does the ln-641-pattern-analyzer skill do?
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ln-641-pattern-analyzer-levnikolaevich-claude-code-skills-4 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.