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Alias for edge-function-creator. Use when creating, modifying, or deploying Supabase Edge Functions. Triggers on "edge function", "create function", "deploy function", "serverless", "Deno function", "new endpoint".
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/amo-tech-ai/rocket-path-ai --skill edge-functions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。
OpenClaw Gateway setup, configuration, and best practices. Use when installing OpenClaw, configuring channels (WhatsApp/Telegram/Discord), setting up providers (OpenAI/Google/Anthropic), creating skills, managing the gateway daemon, or troubleshooting OpenClaw issues. Triggers on: openclaw, gateway, whatsapp channel, telegram bot, openclaw skill, openclaw config, openclaw install, openclaw cron, openclaw security.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning. **This project:** We use OpenAI text-embedding-3-small (1536) and store as vector(1536) in knowledge_chunks. halfvec is an optional future optimization; apply this skill's tuning (ef_search, iterative_scan
SOC 職業分類に基づく
SKILL.md を表示中
| name | edge-functions |
| description | Alias for edge-function-creator. Use when creating, modifying, or deploying Supabase Edge Functions. Triggers on "edge function", "create function", "deploy function", "serverless", "Deno function", "new endpoint". |
| alias_of | edge-function-creator |
Alias: This skill redirects to
/edge-function-creatorfor all edge function operations.
This is an alias for the edge-function-creator skill. Use /edge-functions or /edge-function-creator interchangeably for:
See .claude/edge-function-creator/SKILL.md for the full workflow.
supabase functions serve <name> --env-file .env.local # Local testing
supabase functions deploy <name> # Deploy
supabase secrets set KEY=value # Set secrets
Deno.env.get(), never hardcoded.claude/edge-function-creator/SKILL.md - Full workflow.claude/edge-functions/references/ - Architecture and integration patterns