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:

text

publish → publish-status polling

Or use the --wait flag to auto-poll:

text

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:

text

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:

text

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#

text

chat → PRD refinement → generate-app → publish

---

Modify Existing Generated Application#

text

chat → chat → chat

(no additional generation step required)

---

Deploy Application#

text

publish → publish-status polling

Or:

text

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-idCreate a brand-new appomitomitContinue / modify an existing apprequiredrequired (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:

text

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:

text

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:

text

https://<app_id>.appmedo.com

• If the application has not been published, you must publish it before sharing with others.

Example publish command:

text

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