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search-builder
Build and extend the search system. Use when adding search routes, indexing, ranking, filters, or search analytics.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Build and extend the search system. Use when adding search routes, indexing, ranking, filters, or search analytics.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Build and extend the personalization system. Use when adding behavior tracking, user preferences, personalized feeds, or privacy controls.
Build and extend the recommendation engine. Use when adding related posts, trending, personalized feeds, or saved posts.
Seo Keyword Research capability
Affiliate click and conversion tracking skill for DZIRE_v1. Records clicks, attributes conversions via session/click ID, and manages payout records.
Stripe payment integration skill for DZIRE_v1. Handles Checkout sessions, webhook verification, customer management, and payment security.
Revenue analytics and MRR/ARR reporting skill for DZIRE_v1. Aggregates subscription, affiliate, and sponsor revenue into summary metrics.
| name | search-builder |
| description | Build and extend the search system. Use when adding search routes, indexing, ranking, filters, or search analytics. |
| category | build |
| step | 9 |
| version | v1.0 |
| inputs | ["user request","existing backend/app/search/ structure","database/schemas/search.sql","api/contracts/search.json"] |
| outputs | ["Search routes (backend/app/search/routes.py)","Search services (backend/app/search/services.py)","Search indexing (backend/app/search/indexing.py)","Search ranking (backend/app/search/ranking.py)","Frontend search components"] |
Build and extend the search and discovery system for DZIRE_v1.
backend/app/search/
├── models.py — SearchIndex, SearchQueryLog ORM models
├── schemas.py — Pydantic request/response schemas
├── routes.py — FastAPI route handlers
├── services.py — Business logic
├── indexing.py — Index population and refresh
└── ranking.py — Weighted ranking score computation
score = title_match*3 + tag_match*2 + category_match*1.5 + recency + popularity + seo_score + personalization
model_validate() for ORM → schema conversionbackend/app/main.py under # Step 9 routersdocs/search.md for full documentation