Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add tiangong-lca/skills --skill "lifecyclemodel-hybrid-search"
Install specific skill from multi-skill repository
# Description
Supabase edge function supabase/functions/lifecyclemodel_hybrid_search that builds hybrid search queries for lifecycle models and calls `hybrid_search_lifecyclemodels`. Use when tuning prompts, embeddings, or auth/env for lifecycle model retrieval.
# SKILL.md
name: lifecyclemodel-hybrid-search
description: Supabase edge function supabase/functions/lifecyclemodel_hybrid_search that builds hybrid search queries for lifecycle models and calls hybrid_search_lifecyclemodels. Use when tuning prompts, embeddings, or auth/env for lifecycle model retrieval.
Lifecycle Model Hybrid Search
Quick start (remote only)
- Endpoint:
https://qgzvkongdjqiiamzbbts.supabase.co/functions/v1/ - Header:
x-region: us-east-1 - Requires
Authorization: Bearer <TOKEN>. TOKENis either an OAuth JWT or a user key generated in the system (derived from email + password).- Example call:
bash curl -i --location --request POST "https://qgzvkongdjqiiamzbbts.supabase.co/functions/v1/lifecyclemodel_hybrid_search" \ --header 'Content-Type: application/json' \ --header 'x-region: us-east-1' \ --header "Authorization: Bearer $TOKEN" \ --data @assets/example-request.json - Model/SageMaker is configured in the deployed function; callers do not set extra env.
Request & output
- POST
{ "query": string, "filter"?: object|string }. - 200 with
{ data }from RPC or[]; 400 if query missing; 500 on embedding/RPC failures.
Processing flow
1) CORS OPTIONS handled.
2) ChatOpenAI structured output with schema (semantic_query_en + fulltext_query_en/zh arrays) and lifecycle-model specific system prompt.
3) Embed semantic_query_en via SageMaker; build full-text OR string from English+Chinese lists.
4) Call supabase.rpc('hybrid_search_lifecyclemodels', { query_text, query_embedding, filter_condition }) (non-string filters JSON.stringify).
5) Return results with CORS headers; log errors on failure.
Change points
- Adjust structured schema or prompt for domain nuance (e.g., LCIA, system boundaries).
- Swap model/embedding endpoint; update
OPENAI_CHAT_MODELor SageMaker constants. - Filter handling: ensure caller format matches RPC expectations.
References
references/env.md- env notes.references/request-response.md- payload, filter semantics, RPC details.references/prompts.md- prompt requirements for query generation.references/testing.md- curl & checklist.
Assets
assets/example-request.json
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.