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AI features and vector search with Syntra. Use when configuring AI models, running chat completions, generating images, creating embeddings, building semantic search, setting up RAG pipelines, or managing vector collections.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/MauricioPerera/syntra --skill syntra-ai命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Authentication and user management with Syntra. Use when setting up auth, configuring OAuth providers, managing users, handling email verification, password resets, OTP codes, or configuring password policies and session settings.
Database management with Syntra. Use when creating tables, defining schemas, querying records, inserting data, running SQL, or managing database structure. Covers CRUD operations, schema design, migrations, filtering, and PostgreSQL functions.
Edge functions and scheduled jobs with Syntra. Use when creating serverless functions, deploying code to the edge runtime, invoking functions by slug, setting up cron jobs, or managing scheduled tasks.
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基于 SOC 职业分类
| name | syntra-ai |
| description | AI features and vector search with Syntra. Use when configuring AI models, running chat completions, generating images, creating embeddings, building semantic search, setting up RAG pipelines, or managing vector collections. |
All AI features route through OpenRouter, supporting 200+ models from OpenAI, Anthropic, Google, Meta, Mistral, and more.
OPENROUTER_API_KEY in environmentai_create_config — define a model configuration{
"input_modality": "text",
"output_modality": "text",
"provider": "openrouter",
"model_id": "anthropic/claude-sonnet-4-5-20250929",
"system_prompt": "You are a helpful assistant."
}
ai_list_configs — list all configsai_create_config — create a new config (model, provider, modality, system prompt)ai_get_config / / — CRUD operationsai_update_configai_delete_config{
"config_id": "uuid-of-text-config",
"messages": [
{ "role": "system", "content": "You are a coding assistant." },
{ "role": "user", "content": "Explain closures in JavaScript." }
],
"temperature": 0.7,
"max_tokens": 1000
}
{
"config_id": "uuid-of-image-config",
"prompt": "A futuristic city at sunset, cyberpunk style",
"n": 1,
"size": "1024x1024"
}
{
"config_id": "uuid-of-embedding-config",
"input": "The quick brown fox jumps over the lazy dog"
}
Or batch: "input": ["text one", "text two", "text three"]
Syntra includes built-in vector storage powered by pgvector.
ai_create_collection — create a vector collectionai_upsert_documents — add documents (embeddings auto-generated)ai_vector_search — semantic search by text queryai_list_collections / ai_get_collection / ai_delete_collectionname, embedding_model, dimensions, distance_metric| Metric | Use case |
|---|---|
cosine | General-purpose similarity (default) |
l2 | Euclidean distance |
inner_product | When vectors are normalized |
ai_upsert_documents — insert or update documents with auto-embeddingai_delete_documents — remove by IDsai_vector_search — search by text query with optional metadata filterai_vector_search_by_vector — search by raw embedding vector