learned-codemap-generator-hygiene

Maintain Angular codemap generators with stable outputs and reproducible regeneration.

171|10|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/fmflurry/settings-opencode --skill learned-codemap-generator-hygiene
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learned-codemap-generator-hygiene
Source: https://github.com/fmflurry/settings-opencode/tree/main/.claude/skills/learned-codemap-generator-hygiene
Command: npx skills add https://github.com/fmflurry/settings-opencode --skill learned-codemap-generator-hygiene

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns for maintaining a codemap generator that stays useful over time. This skill helps frontend teams keep their codemap generators hygienic and durable during updates.

Core Features & Use Cases

  • Generate high-signal maps that answer:
    • where is the screen wired? (routing)
    • where are providers composed? (providers)
    • what is the facade/use-case entry? (application)
    • where is state/caching? (state)
    • what is the cross-context surface? (public APIs)
  • Keep outputs stable by sorting lists, capping samples, and avoiding per-file line counts.
  • Use domain-accurate taxonomy to avoid misleading subsystem names in frontend apps.
  • Treat generated outputs as an atomic set to ensure consistency across regenerations.
  • Make the generator reproducible by pinning the runner, adding an npm script, and documenting generated docs for agents.

Quick Start

Review or update a frontend Angular codemap generator following these hygiene guidelines to produce stable, domain-accurate maps.

Frequently Asked Questions about learned-codemap-generator-hygiene

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep my Angular codemap generator outputs stable across regenerations?

A codemap generator creates high-signal architecture maps for Angular frontend projects by identifying routing wires, provider composition, application entry points, state caching, and public cross-context APIs. It helps frontend teams understand complex application structures quickly.

How do I make my frontend codemap generator reproducible for AI agents?

Make frontend codemap generators reproducible by pinning the runner version, adding a dedicated npm script, and documenting generated outputs for agents. This ensures consistent execution and stable architecture maps every time.

What is domain-accurate taxonomy in frontend architecture mapping?

Domain-accurate taxonomy in frontend architecture mapping means using precise subsystem names that accurately reflect the application's domain. This prevents misleading or generic naming in generated codemaps, ensuring the maps remain highly useful for team navigation.

Why should generated codemap outputs be treated as an atomic set?

Generated codemap outputs should be treated as an atomic set to ensure consistency across regenerations. Updating all mapped views—routing, providers, application, state, and public APIs—together prevents partial or conflicting architecture documentation.

Does this codemap generator hygiene approach work for non-Angular frontend frameworks?

This hygiene approach specifically targets Angular frontend workflows to generate high-signal maps. While concepts like pinning runners and sorting outputs are universal, the concrete requirements and taxonomy are tailored for Angular architecture structures.