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KV and Blob storage services on EdgeOne Makers. KV for edge key-value pairs, Blob for file/object storage in Cloud Functions. Covers SDK usage, setup, and troubleshooting.
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。
基于 SOC 职业分类
This skill guides building AI agent endpoints on EdgeOne Makers — five framework routes (DeepAgents, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK), platform-injected `context.store` / `context.tools` / `context.sandbox`, conversation_id dual-channel routing, SSE streaming, and `agents/` vs `cloud-functions/` separation. It should be used when the user wants to create or review an AI agent endpoint on EdgeOne Makers — e.g. "build an agent on EdgeOne Makers", "create a Claude agent endpoint", "wire LangGraph into Makers", "stream LLM responses with SSE", "review my agent template", "use context.store / context.sandbox / context.tools". Do NOT trigger for plain Edge Functions, Cloud Functions, or middleware (those don't run AI logic — use edgeone-pages-dev instead). Do NOT trigger for deployment workflows (use edgeone-pages-deploy). Do NOT trigger for generic AI framework development outside an EdgeOne Makers project.
EdgeOne Makers CLI command reference. Use when running edgeone CLI commands for dev, build, deploy, env management.
Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions. Use when the user wants to adapt a standard agent project to run on EdgeOne Makers, convert Express/Next.js API routes to Makers handlers, or add platform capabilities (context.tools, context.sandbox, context.store). Do NOT trigger for new agent projects (use makers-agents instead).
V8-based lightweight edge functions on EdgeOne Makers. Covers routing, KV storage access, request/response handling, and environment variables at the edge.
Edge middleware for EdgeOne Makers — request interception, redirects, rewrites, auth guards, A/B testing, and header injection at the edge (V8 runtime).
Environment-specific adaptation rules for EdgeOne Makers Skills running in sandboxed or restricted AI coding environments (e.g. WorkBuddy). Trigger when: the user is working in WorkBuddy, a sandboxed IDE, or any non-interactive/CI environment where CLI commands may hang or network is isolated. Covers: non-interactive CLI flags, network isolation workarounds, login in sandbox, proxy bypass, file preview constraints (MUST use http:// via dev server, NEVER file://, NEVER python -m http.server / npx serve), dev server requirements.
| name | edgeone-makers-storage |
| description | KV and Blob storage services on EdgeOne Makers. KV for edge key-value pairs, Blob for file/object storage in Cloud Functions. Covers SDK usage, setup, and troubleshooting. |
| metadata | {"author":"edgeone","version":"1.0.0"} |
EdgeOne Makers provides two storage services. Choose based on your runtime and data type:
| Storage | Runtime | Data Type | SDK | Use Case |
|---|---|---|---|---|
| KV | Edge Functions only | Small key-value pairs (≤ 25 MB) | Global variable (no npm) | Counters, config, session tokens, simple CRUD |
| Blob | Cloud Functions (Makers Functions) | Files & objects (images, docs, uploads) | @edgeone/pages-blob (npm) | User uploads, AI-generated content, file management |
Need persistent storage?
├─ Edge Function (V8 runtime, no npm)?
│ → KV Storage (global variable) → read references/kv.md
└─ Cloud Function (Node.js, has npm)?
├─ Storing files / images / large objects?
│ → Blob Storage → read references/blob.md
└─ Storing small key-value data?
→ Blob with setJSON → read references/blob.md
| Task | Read |
|---|---|
| KV Storage (Edge Functions, global variable, put/get/delete/list) | references/kv.md |
| Blob Storage (Cloud Functions, npm SDK, file upload/download, pre-signed URLs) | references/blob.md |