type-cache-architecture

Enforce cache-correctness rules for the Verter compiler's fact-based read-side cache system.

98|3|Updated Jan 22, 2024
One-click install
npx skills add https://github.com/pikax/verter --skill type-cache-architecture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: type-cache-architecture
Source: https://github.com/pikax/verter/tree/main/.claude/skills/type-cache-architecture
Command: npx skills add https://github.com/pikax/verter --skill type-cache-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing high-performance, fact-based caching in the Verter compiler, ensuring cache correctness without the latency of eager invalidation.

Core Features & Use Cases

  • Fact-Based Validation: Implements read-side authoritative validation to ensure cache entries are only used when facts remain consistent.
  • Query-Identity Management: Provides architectural rules (R1–R31) for managing complex query-identity caches and structural carriers.
  • Use Case: Use this Skill to audit or extend the Verter cache runtime, ensuring that new compiler features adhere to the strict self-rooting and dependency-tracking requirements of the system.

Quick Start

Ask the type-cache-architecture skill to explain the validation logic for a specific cache layer like MaterializeStructureDb.

Frequently Asked Questions about type-cache-architecture

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

FAQPage Schema
What is fact-based cache validation in a TypeScript compiler?

Fact-based cache validation is a read-side authoritative approach ensuring cache entries are only used when underlying facts remain consistent, avoiding eager invalidation latency during incremental compilation and semantic analysis.

How do I manage query-identity caches for structural carriers?

Manage query-identity caches by applying architectural rules R1–R31, which govern structural carriers, self-rooting, and dependency tracking to maintain cache correctness across complex compiler queries.

How do I audit cache correctness logic in the Verter compiler?

Audit cache correctness by validating self-rooting and dependency tracking requirements against the architectural rules, ensuring new compiler features adhere to strict multi-candidate storage and read-side validation constraints.

Can I use incremental compilation caching without eager invalidation?

Yes, the Verter compiler's cache system supports high-performance incremental compilation by using read-side authoritative validation to verify fact consistency instead of relying on eager invalidation.

What are the limitations of multi-candidate storage in compiler caches?

Multi-candidate storage requires strict adherence to self-rooting and dependency tracking architectural rules, meaning any deviation during cache runtime extension risks breaking semantic analysis correctness across the monorepo.