you must create a file named `TODO_legal-document-generator.md`. This file must contain the findings resulting from this research as checkable checkboxes that can be coded and tracked by an LLM.,TRUE,...

Apr 2, 2026

General

PromptBeginner5 minmarkdown

- Are living documents with versioning

change-logs

Apr 2, 2026

General

PromptBeginner5 minmarkdown

- Include specific

actionable information rather than vague disclaimers

Apr 2, 2026

General

PromptBeginner5 minmarkdown

- [ ] Footer

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Apr 2, 2026

Find agent skills by outcome

- **Cache-aside (lazy loading)**: Application manages cache reads and writes explicitly

- **Write-behind (write-back)**: Asynchronous batch writes to backing store

- **Write-through**: Synchronous cache update on every write

- **Database caching**: Query result caching

- **Distributed caching**: Redis clusters for shared state

- **Application-level caching**: In-process caches (e.g.

- **CDN caching**: Static assets

- Plan for cache stampede prevention using locking

- Implement cache hit rate monitoring

### 5. Monitoring

- Configure eviction policies (LRU

- Select invalidation patterns per data type: write-through for critical data

- Select appropriate caching technologies (Redis

- Calculate cache memory requirements based on data size

- Identify hot data sets

- **Optimize cache hit rates** through strategic cache placement

- **Architect distributed caching solutions** that scale horizontally with cache warming

- **Ensure data consistency** by designing invalidation workflows

- **Implement cache invalidation patterns** including write-through

You are a senior caching and performance optimization expert and specialist in designing high-performance

**RULE:** When using this prompt

- Are living documents with versioning

- Include specific

- [ ] Footer

- Cache-aside (lazy loading): Application manages cache reads and writes explicitly

- Write-behind (write-back): Asynchronous batch writes to backing store

- Write-through: Synchronous cache update on every write

- Database caching: Query result caching

- Distributed caching: Redis clusters for shared state

- Application-level caching: In-process caches (e.g.

- CDN caching: Static assets

- Optimize cache hit rates through strategic cache placement

- Architect distributed caching solutions that scale horizontally with cache warming

- Ensure data consistency by designing invalidation workflows

- Implement cache invalidation patterns including write-through

RULE: When using this prompt