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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.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/MauricioPerera/syntra --skill syntra-aiコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
SOC 職業分類に基づく
| 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 / ai_update_config / ai_delete_config — CRUD operations{
"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 vectorAuthentication 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.