Agent skill · AI & Agents

arch-view

This skill should be used when the user asks to "generate architecture view", "show service dependency graph", "map request flows", "show event topology", "group services by domain", "visualize architecture", or mentions cross-repository architecture analysis, service mapping, or architectural visualization.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill arch-view --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/analysis/arch-view/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

# Architecture View Generate cross-repository architectural views by aggregating `catalog-info.yaml` metadata from all repositories using parallel subagents. ## Purpose Create visual architectural representations (Mermaid diagrams, markdown tables) that show how services fit together, how requests flow through gateways, how events propagate, and how services group by domain/team. ## When to Use Trigger this skill when: - User asks to "show service dependency graph" or "map the architecture" - User wants to understand "how services connect" - User asks about "request flows" or "event topology" - User wants to "group services by domain/team" - User mentions "cross-repo architecture" or "system architecture" ## Workflow ### Phase 1: Discover Repositories Find all repositories to analyze: 1. **Check `repos/` directory** - Local cloned repositories 2. **Optionally fetch from GitHub** - Use `gh repo list Astrabit-CPT` for full list 3. **Filter for active repos** - Skip archived or template repos ### Phase 2: Parallel Metadata Collection Use subagents IN PARALLEL to read each repository's `catalog-info.yaml`: ``` For each repo: Launch subagent with: "Read catalog-info.yaml from [repo_path

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Workflow
  4. Phase 1: Discover Repositories
  5. Phase 2: Parallel Metadata Collection
  6. Phase 3: Aggregate and Build Model
  7. Phase 4: Generate Requested View
  8. View Templates
  9. Service Dependency Graph
  10. Request Flow Map
  11. Event Topology
  12. Service Groupings
  13. Scripts
  14. aggregate-metadata.py
Ships with 1 file
  • metadata.json
Commands it runs
Aggregate from repos directory
python skills/arch-view/scripts/aggregate-metadata.py repos/
Output as JSON
python skills/arch-view/scripts/aggregate-metadata.py repos/ --format json
Output as summary
python skills/arch-view/scripts/aggregate-metadata.py repos/ --summary
Generate all views
python skills/arch-view/scripts/generate-mermaid.py aggregated.json
Generate specific view
python skills/arch-view/scripts/generate-mermaid.py aggregated.json --view dependency
More from claude-skill-registry
All skills →
About this skill
What does the arch-view skill do?

This skill should be used when the user asks to "generate architecture view", "show service dependency graph", "map request flows", "show event topology", "group services by domain", "visualize architecture", or mentions cross-repository architecture analysis, service mapping, or architectural visualization.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill arch-view --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.

Keep going