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medo-app-builder

Create, modify, generate, and deploy websites, web apps, dashboards, SaaS products, internal tools, interactive web pages, Weixin mini program , games on the Baidu Medo platform using natural-language instructions.

作者: admin | 来源: ClawHub
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medo-app-builder

# Medo App Builder Medo is a **chat-driven full-stack application builder**. Official website: https://www.medo.dev Users describe what they want in natural language and Medo generates a **production-ready web product**, including: - frontend UI - backend services - database schema - integrations - deployable hosting Typical outputs include: - websites - web applications - dashboards - SaaS products - admin panels - internal tools - landing pages - interactive web pages - browser games and mini games This skill enables AI agents to interact with the **Medo platform** to create, iterate, generate, and deploy applications. All platform operations must be executed through the packaged CLI script: ```bash python scripts/medo_api.py <command> [options] ``` Do **not** call platform APIs directly. Always use the CLI commands provided by this skill. --- # When to Use This Skill Use this skill whenever the user wants to: * create a **website** * create a **webpage** * build a **web application** * build a **dashboard** * create a **SaaS product** * build an **admin panel** * build an **internal tool** * create a **landing page** * build an **interactive web page** * create a **browser game** * create a **mini game** * generate an **MVP web product** * modify an existing **Medo project** * publish or deploy a **Medo application** Do **not** use this skill for unrelated programming tasks. --- # Routing Keywords Trigger this skill if the request includes concepts such as: * build a website * create a webpage * build a web app * create a SaaS * build a dashboard * create an admin panel * build an internal tool * create a landing page * build a browser game * create a mini game * generate a web product * make a snake game webpage * build a todo web app * create a blog site --- # Example Requests Examples that should route to this skill: * "Create a todo list web app" * "Build a personal blog website" * "Make a dashboard for sales analytics" * "Create a SaaS landing page" * "Build an admin panel" * "Write a snake game webpage" * "Create a browser game" * "Build a mini web game" * "Modify my Medo project" * "Publish this Medo app" --- # Stateless Execution Model The CLI script is **stateless**. It does not store workflow state between calls. Application workflow state is maintained by the Medo platform and must be inferred from: * `appId` * `conversationId` * application detail * conversation trajectory events Agents must pass the appropriate identifiers when continuing conversations or modifying applications. --- # Application Lifecycle Rules Medo applications follow a strict lifecycle. Agents must follow these rules. --- ## Initial Creation For a new application: 1. Start with a `chat` request describing the product. 2. The application enters the **PRD refinement stage**. 3. Continue chatting to refine the specification. 4. When the trajectory contains a **Generate App** button (`type":"button"` and `event":{"name":"generateApp"}` in `result.artifact.parts[].data.actions[]`), trigger application generation using `generate-app`. Generation is required **only once** during the initial creation. --- ## Multi-Round Modification After an application has already been generated: * **Do not call `generate-app` again.** * Continue using `chat` with the same `appId` and `conversationId`. Normal chat messages modify the existing application. --- ## Publishing Publishing is allowed **after the application has been generated at least once**. Rules: * Publishing does **not require another generation step** * Publishing may happen anytime after the first generation * Publishing must be followed by **status polling** (or use `--wait` flag) Typical deployment flow: ``` publish → publish-status polling ``` Or use the `--wait` flag to auto-poll: ``` publish --wait ``` Stop polling when the status becomes: * `SUCCESS` * `FAILED` --- # Application URLs Medo provides two types of URLs during the lifecycle. --- ## Project Preview (Editor / Development) After the application is created, the project can be accessed at: ``` https://www.medo.dev/projects/<app_id> ``` This URL can be shared with the user for: * viewing the project * editing the application * previewing the generated result The preview URL becomes available once an `appId` is created. --- ## Production Deployment URL After publishing succeeds, the application is accessible at: ``` https://<app_id>.appmedo.com ``` This is the **public production URL** of the deployed application. Only return this URL after publishing completes successfully. --- # Standard Workflow ## Create New Application ``` chat → PRD refinement → generate-app → publish ``` --- ## Modify Existing Generated Application ``` chat → chat → chat ``` (no additional generation step required) --- ## Deploy Application ``` publish → publish-status polling ``` Or: ``` publish --wait ``` --- # Available Commands All commands are executed via the CLI script. **Important**: Always set the `MEDO_API_KEY` environment variable before running commands. ```bash export MEDO_API_KEY="your_api_key_here" ``` --- ## list-apps List all applications belonging to the authenticated user. **Usage:** ```bash python scripts/medo_api.py list-apps [--brief] ``` **Optional Parameters:** - `--brief`: Output only key fields: `appId`, `name`, `type`, `appFocus`, `host`, `updatedAt`. Recommended for agents to reduce token usage. - `--name NAME`: Filter by app name (substring) - `--page PAGE`: Page number (default: 1) - `--size SIZE`: Page size (default: 12) **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" # Brief mode (recommended for agents) python scripts/medo_api.py list-apps --brief # Full mode python scripts/medo_api.py list-apps ``` **Returns:** JSON array of applications with `appId`, `name`, `type`, etc. --- ## app-detail Get detailed information about a specific application. **Automatically injects `conversationId`** into the response by default — no need to call `get-context-id` separately. **Usage:** ```bash python scripts/medo_api.py app-detail --app-id <app_id> [--no-context] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--no-context`: Skip auto-fetching `conversationId` from trajectory (faster, but response will not contain `conversationId`) **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py app-detail --app-id app-abc123xyz ``` **Returns:** JSON object with application details, configuration, and status. `data.conversationId` is automatically populated. --- ## get-context-id Recover the `conversationId` for an existing app by reading its trajectory. Useful when the `conversationId` has been lost after a session reset. **Usage:** ```bash python scripts/medo_api.py get-context-id --app-id <app_id> ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--fetch-timeout SECONDS`: Request timeout in seconds (default: 10) **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py get-context-id --app-id app-abc123xyz ``` **Returns:** `{"appId": "app-abc123xyz", "conversationId": "conv-def456uvw"}` **Use Cases:** - Need to modify a previously created app in a new session but `conversationId` is lost - Use the returned `conversationId` with `chat --app-id --context-id` to resume modification --- ## conversation-history Show a human/agent-readable summary of past interactions for an app. More convenient than `trajectory` or `fetch-trajectory` for quickly understanding what happened in previous sessions. **Usage:** ```bash python scripts/medo_api.py conversation-history --app-id <app_id> [options] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--full`: Show full content instead of truncated summaries (default: truncate at 200 chars) - `--limit N`: Only show the last N conversation turns - `--fetch-timeout SECONDS`: Request timeout in seconds (default: 10) **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" # View conversation history summary python scripts/medo_api.py conversation-history --app-id app-abc123xyz # Only show the last 3 turns python scripts/medo_api.py conversation-history --app-id app-abc123xyz --limit 3 # Show full content without truncation python scripts/medo_api.py conversation-history --app-id app-abc123xyz --full ``` **Returns:** JSON Lines, one entry per meaningful turn: ```json {"eventId": 5, "role": "user", "type": "message", "content": "创建一个待办事项应用..."} {"eventId": 865, "role": "agent", "type": "file", "content": "[file: 需求文档.md]"} {"eventId": 880, "role": "user", "type": "message", "content": "生成应用"} ``` **Use Cases:** - Quickly understand what happened in previous sessions before resuming work - Determine which phase the app is in (PRD refinement / generated / modified) - Check for unfinished modifications or cancelled tasks --- ## chat Start or continue a conversation to create or modify an application. **Usage:** ```bash python scripts/medo_api.py chat --text "description" [options] ``` **Required Parameters:** - `--text TEXT`: The message/instruction to send **Optional Parameters:** - `--context-id CONTEXT_ID`: Conversation ID of an existing app. - `--app-id APP_ID`: Application ID of an existing app. - `--query-mode QUERY_MODE`: Query mode (default: deep_mode) - `--input-field-type INPUT_FIELD_TYPE`: Input field type (default: web) - `--poll-interval SECONDS`: Seconds between trajectory polls (default: 2.0) - `--fetch-timeout SECONDS`: Per-request timeout for each trajectory fetch (default: 10) - `--no-stream`: Return raw chat POST response without trajectory polling - `--prompt-generate`: After polling, interactively ask whether to submit app generation if text was returned > **⚠️ IMPORTANT — `--app-id` and `--context-id` must always be used together.** > > | Intent | `--app-id` | `--context-id` | > |--------|-----------|----------------| > | Create a brand-new app | omit | omit | > | Continue / modify an existing app | required | required (conversationId) | > > Passing `--app-id` **without** `--context-id` will **NOT** modify the existing app. > The platform will silently create a **new** app every time. The CLI will now raise an error in this case to prevent accidental app proliferation. **Examples:** **1. Create a new application:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py chat --text "创建一个待办事项管理应用" ``` Response includes `appId` and `contextId` for subsequent calls. **2. Continue conversation (refine PRD):** ```bash python scripts/medo_api.py chat \ --text "添加优先级标记功能" \ --app-id app-abc123xyz \ --context-id conv-def456uvw ``` **3. Modify existing generated app:** ```bash python scripts/medo_api.py chat \ --text "把按钮颜色改成蓝色" \ --app-id app-abc123xyz \ --context-id conv-def456uvw ``` **Important Notes:** - Extract `appId` and `contextId` from the response and save them - Use these IDs for all subsequent operations on the same app - The first `chat` creates the app and starts PRD refinement - After generation, `chat` directly modifies the app (no `generate-app` needed) --- ## trajectory Poll trajectory events until the task reaches a terminal state. **Usage:** ```bash python scripts/medo_api.py trajectory --app-id <app_id> [options] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--last-event-id EVENT_ID`: Start eventId; -1 = all events from beginning (default: -1) - `--poll-interval SECONDS`: Seconds between polls (default: 2.0) - `--fetch-timeout SECONDS`: Per-request timeout in seconds (default: 10) - `--sse`: Use legacy SSE streaming instead of polling **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py trajectory --app-id app-abc123xyz ``` **Use Cases:** - Monitor conversation / generation progress - Detect when PRD refinement is complete (look for Generate App button in `result.artifact.parts[].data.actions[]`) - Verify generation has completed --- ## fetch-trajectory Fetch one batch of trajectory events (single request, no polling loop). **Usage:** ```bash python scripts/medo_api.py fetch-trajectory --app-id <app_id> [options] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--last-event-id EVENT_ID`: Fetch events after this eventId; -1 = all (default: -1) - `--fetch-timeout SECONDS`: Request timeout in seconds (default: 10) **Example:** ```bash # First call — get all events (note maxEventId from stderr) python scripts/medo_api.py fetch-trajectory --app-id app-abc123xyz # Subsequent calls — incremental fetch python scripts/medo_api.py fetch-trajectory --app-id app-abc123xyz --last-event-id 345 ``` Events are printed to stdout as JSON lines; `{"maxEventId": N, "isTerminal": bool}` is printed to stderr. **Generate App readiness:** Inspect `result.artifact.parts[].data.actions[]` for an action with `"type":"button"` and `"event":{"name":"generateApp"}`. Example: ```json {"type":"button","label":"Generate App","value":"Generate App","event":{"name":"generateApp"}} ``` When this button appears, PRD is ready and `generate-app` may be called. --- ## generate-app Submit app-generation confirmation and return immediately with `appId`/`conversationId`. **Usage:** ```bash python scripts/medo_api.py generate-app --app-id <app_id> --context-id <context_id> [options] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID **Optional Parameters:** - `--context-id CONTEXT_ID`: Conversation ID (default: "") - `--query-mode QUERY_MODE`: Query mode (default: deep_mode) - `--watch`: Block and poll trajectory until generation completes (default: return immediately) - `--poll-interval SECONDS`: Seconds between polls when `--watch` is set (default: 2.0) - `--fetch-timeout SECONDS`: Per-request timeout in seconds when `--watch` is set (default: 10) **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" # Submit and return immediately — check status later with fetch-trajectory python scripts/medo_api.py generate-app \ --app-id app-abc123xyz \ --context-id conv-def456uvw # Submit and block until generation finishes python scripts/medo_api.py generate-app \ --app-id app-abc123xyz \ --context-id conv-def456uvw \ --watch ``` **Important:** - Only call this **once** during initial creation - Call **only** when trajectory contains a Generate App button in `result.artifact.parts[].data.actions[]`: an action with `"type":"button"` and `"event":{"name":"generateApp"}` (label may vary by locale; use event name for the check). This indicates PRD is ready. - Do **not** call again for modifications after the first generation - After this command, use `chat` to modify the generated app --- ## publish Trigger deployment to production. **Usage:** ```bash python scripts/medo_api.py publish --app-id <app_id> [options] ``` **Required Parameters:** - `--app-id APP_ID`: Application ID to publish **Optional Parameters:** - `--env ENV`: Target environment (default: PRODUCE) - `--wait`: Auto-poll publish status until SUCCESS or FAILED **Examples:** **1. Publish and manually check status:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py publish --app-id app-abc123xyz ``` Returns `releaseId` immediately. Then poll with `publish-status`. **2. Publish and auto-wait for completion (recommended):** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py publish --app-id app-abc123xyz --wait ``` This polls automatically and exits when deployment succeeds or fails. **Important:** - Application must be generated at least once before publishing - After successful publish, the app is live at: `https://<app_id>.appmedo.com` --- ## publish-status Check the status of a deployment. **Usage:** ```bash python scripts/medo_api.py publish-status --release-id <release_id> ``` **Required Parameters:** - `--release-id RELEASE_ID`: Release ID from `publish` command **Example:** ```bash export MEDO_API_KEY="sk_xxxxx" python scripts/medo_api.py publish-status --release-id app_release_record-xyz789abc ``` **Returns:** JSON with status: `PROCESSING`, `RUNNING`, `SUCCESS`, or `FAILED` **Usage Pattern:** ```bash # Get release ID from publish RELEASE_ID=$(python scripts/medo_api.py publish --app-id app-abc123xyz | jq -r '.releaseId') # Poll status while true; do STATUS=$(python scripts/medo_api.py publish-status --release-id $RELEASE_ID | jq -r '.status') echo "Status: $STATUS" if [[ "$STATUS" == "SUCCESS" || "$STATUS" == "FAILED" ]]; then break fi sleep 5 done ``` **Tip:** Use `publish --wait` to avoid manual polling. --- # Complete Workflow Examples ## Example 1: Create and Deploy a New App ```bash export MEDO_API_KEY="sk_xxxxx" cd ~/.openclaw/skills/medo-app-builder # Step 1: Create app via chat (returns appId + conversationId on first line) FIRST=$(python scripts/medo_api.py chat --text "创建一个简单的计数器应用" | head -1) APP_ID=$(echo $FIRST | jq -r '.appId') CONTEXT_ID=$(echo $FIRST | jq -r '.conversationId') # Step 2: Generate the app (returns immediately; use fetch-trajectory to check progress) python scripts/medo_api.py generate-app \ --app-id $APP_ID \ --context-id $CONTEXT_ID # Step 3: Poll until generation finishes python scripts/medo_api.py trajectory --app-id $APP_ID # Step 4: Publish (with auto-wait) python scripts/medo_api.py publish --app-id $APP_ID --wait # Done! App is live at: echo "https://$APP_ID.appmedo.com" ``` --- ## Example 2: Modify an Existing App > **IMPORTANT — Always update `CONTEXT_ID` from each `chat` response.** > > Each `chat` call prints a JSON header line `{"appId": "...", "conversationId": "..."}`. > The platform may return an updated `conversationId` in this response. > **Always capture it and use it for the next `chat` call**, or the next round will create a brand-new app. ```bash export MEDO_API_KEY="sk_xxxxx" cd ~/.openclaw/skills/medo-app-builder APP_ID="app-abc123xyz" # Step 1: Get app detail — conversationId is auto-injected DETAIL=$(python scripts/medo_api.py app-detail --app-id $APP_ID) CONTEXT_ID=$(echo $DETAIL | jq -r '.data.conversationId') # Abort early if conversationId is missing (app may have no history yet) if [ -z "$CONTEXT_ID" ] || [ "$CONTEXT_ID" = "null" ]; then echo "Error: could not retrieve conversationId. Try: get-context-id --app-id $APP_ID" exit 1 fi # Step 2 (optional): Review conversation history to understand previous work python scripts/medo_api.py conversation-history --app-id $APP_ID # Step 3a: First modification — capture the UPDATED conversationId from the response header CHAT_RESULT=$(python scripts/medo_api.py chat \ --text "把背景颜色改成深色模式" \ --app-id $APP_ID \ --context-id $CONTEXT_ID | head -1) CONTEXT_ID=$(echo $CHAT_RESULT | jq -r '.conversationId') # ← UPDATE for next round # Step 3b: Second modification — uses the updated CONTEXT_ID CHAT_RESULT=$(python scripts/medo_api.py chat \ --text "添加暗黑模式切换按钮" \ --app-id $APP_ID \ --context-id $CONTEXT_ID | head -1) CONTEXT_ID=$(echo $CHAT_RESULT | jq -r '.conversationId') # ← UPDATE again # Step 4: Re-publish python scripts/medo_api.py publish --app-id $APP_ID --wait ``` --- # Command Semantics ## chat Used to: * create a new application * refine PRD specifications * modify an existing generated application For a new application, `chat` creates the project and begins the PRD stage. For an existing application, `chat` performs iterative modifications. --- ## trajectory Streams conversation progress and system events. Use this to determine: * whether PRD generation is ongoing * whether the app is ready for generation (see generate-app condition below) * whether generation has completed --- ## generate-app Triggers application generation. Call **only** when trajectory contains a Generate App button in `result.artifact.parts[].data.actions[]`: an action with `"type":"button"` and `"event":{"name":"generateApp"}`. This indicates PRD is ready. Do **not** rely on text alone—the button structure is the authoritative signal. Call **once** during initial creation. Do not call again for modifications. --- ## publish Triggers application deployment. Use `--wait` flag to auto-poll status (recommended). --- ## publish-status Polls deployment progress until the release completes. Not needed if using `publish --wait`. --- # Error Handling ## IAM AccessKey Validation Failed **Symptom:** ``` IAM access key validation failed. ``` **Cause:** The configured `MEDO_API_KEY` is invalid or missing. **Resolution:** 1. Go to the Medo official website: https://www.medo.dev 2. In the left navigation panel, apply for an available access key. 3. Set the key as the environment variable: ```bash export MEDO_API_KEY="sk_xxxxx" ``` 4. Or create a `.env` file in the skill directory: ```bash echo "MEDO_API_KEY=sk_xxxxx" > ~/.openclaw/skills/medo-app-builder/.env ``` --- ## NotOpenSSLWarning **Symptom:** ``` NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3' ``` **Cause:** macOS uses LibreSSL by default, but urllib3 v2 recommends OpenSSL. **Impact:** This is a **warning only**. API calls still work correctly. **Resolution (optional):** If you want to suppress the warning: ```bash pip3 install 'urllib3<2' ``` Or ignore it - it doesn't affect functionality. --- # Error Handling Guidance Agents should handle the following situations: * generation requested before the platform indicates readiness * publish requested before generation has completed * missing `appId` or `conversationId` (use `get-context-id` to recover a lost `conversationId`) * interrupted trajectory stream * failed deployment status * incorrect or missing parameter values If workflow state is unclear, inspect the trajectory or application detail before taking the next action. **Pro Tips:** - Always check command `--help` when unsure about parameters - Use `--wait` flag with `publish` to simplify deployment - Save `appId` and `contextId` from first `chat` response - Only call `generate-app` once during initial creation - After generation, use `chat` directly for modifications **Application Sharing Rule (IMPORTANT)** - You must share your application **only using the production deployment URL** (after it has been published). Do not share the editor (development) URL. Production deployment URL format: ``` https://<app_id>.appmedo.com ``` - If the application has **not been published**, you must publish it before sharing with others. Example publish command: ``` python scripts/medo_api.py publish --app-id <app_id> --wait ``` - The project editor URL (`https://www.medo.cn/projects/<app_id>`) is **visible only to yourself**. Other users cannot access your editor environment. Never use the editor URL for sharing with others. Editor URL is for: - your own development - preview - internal editing only Editor URL must NOT be used for: - external/public sharing - distribution to others or end users

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 medo-app-builder-1776028165 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 medo-app-builder-1776028165 技能

通过命令行安装

skillhub install medo-app-builder-1776028165

下载 Zip 包

⬇ 下载 medo-app-builder v1.0.0

文件大小: 17.42 KB | 发布时间: 2026-4-13 10:59

v1.0.0 最新 2026-4-13 10:59
- Initial release of the medo-app-builder skill.
- Allows users to create, modify, generate, and deploy websites, web apps, dashboards, SaaS products, internal tools, interactive web pages, Weixin mini programs, and games on the Baidu Medo platform using natural-language instructions.
- All platform operations are performed via a packaged Python CLI script, not direct API calls.
- Supports application lifecycle management: creation, iterative modification, and publishing with clear command workflows.
- Provides command-line tools for listing apps, fetching app details, recovering conversation IDs, and managing deployment.
- Documents trigger keywords and use cases to ensure correct routing for relevant user requests.

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