nestjs-search
Elasticsearch integration and Sync patterns. Use when integrating Elasticsearch or implementing search index sync in NestJS. (triggers: **/*.service.ts, **/search/**, Elasticsearch, CQRS, Synchronization)
Best use case
nestjs-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Elasticsearch integration and Sync patterns. Use when integrating Elasticsearch or implementing search index sync in NestJS. (triggers: **/*.service.ts, **/search/**, Elasticsearch, CQRS, Synchronization)
Teams using nestjs-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nestjs-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nestjs-search Compares
| Feature / Agent | nestjs-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Elasticsearch integration and Sync patterns. Use when integrating Elasticsearch or implementing search index sync in NestJS. (triggers: **/*.service.ts, **/search/**, Elasticsearch, CQRS, Synchronization)
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Search Engine & Full-Text ## **Priority: P1 (OPERATIONAL)** Full-text search implementation with Elasticsearch and database patterns. - **Pattern**: **CQRS (Command Query Responsibility Segregation)**. - **Write**: To Primary Database (Postgres/MySQL). Source of Truth. - **Read (Complex)**: To Search Engine (Elasticsearch, OpenSearch, MeiliSearch). Optimized for filtering, fuzzy search, and aggregation. ## Synchronization (The Hard Part) - **Dual Write (Anti-Pattern)**: `await db.save(); await es.index();`. - _Why_: Partial failures leave data inconsistent. Slows down HTTP response. - **Event-Driven (Recommended)**: 1. Service writes to DB. 2. Service emits `EntityUpdated`. 3. Event Handler (Async) pushes to Queue (BullMQ). 4. Worker indexes document to Search Engine with retries. - **CDC (Golden Standard)**: Change Data Capture (Debezium). Connects directly to DB transaction log. No app conceptual overhead, but higher ops complexity. ## Organization - **Module**: Encapsulate the client in a `SearchModule`. - **Abstraction**: Create generic `SearchService<T>` helpers. - `indexDocument(id, body)` - `search(query, filters)` - **Mapping**: Use `class-transformer` to map Entities to "Search Documents". Search docs should be flatter than Relational entities constraints. ## Testing - **E2E**: Do not mock the search engine in critical E2E flows. - **Docker**: Spin up `elasticsearch:8` container in the test harness to verify indexing works. ## Anti-Patterns - **No dual writes to DB + ES**: Use event-driven or CDC pattern; dual writes risk partial failure inconsistency. - **No Elasticsearch for structured queries**: Use DB indexes for filtering; ES is for full-text and complex search. - **No ES mocks in E2E search tests**: Spin up `elasticsearch:8` container to verify indexing behavior accurately.
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