Agent skill

explain-architecture

Explain the system architecture or a specific part of the codebase

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill explain-architecture --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadGrepGlob
Path: skills/analysis/explain-architecture/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

Leg de architectuur uit van `$ARGUMENTS`: 1. **Overzicht**: Begin met een korte samenvatting in 1-2 zinnen 2. **Diagram**: Teken een ASCII-diagram dat de structuur en dataflow toont 3. **Componenten**: Beschrijf elk component en zijn verantwoordelijkheid 4. **Relaties**: Leg uit hoe componenten met elkaar communiceren 5. **Domeincontext**: Relateer aan korfbal-domeinconcepten waar relevant (zie @docs/KORFBAL-DOMEIN.md) Communiceer in het Nederlands. Houd het begrijpelijk voor iemand die de codebase nog niet kent.

What's inside
Ships with 1 file
  • metadata.json
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About this skill
What does the explain-architecture skill do?

Explain the system architecture or a specific part of the codebase

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill explain-architecture --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.

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