Hannah Elena Client

Hannah & Elena Client Skill

Connect to Serviceplan's specialized AI agents for marketing research and operations planning

What is This Skill?

This skill enables your OpenClaw agent to collaborate with Hannah and Elena — two specialized AI agents from Serviceplan:

• Hannah — Marketing Research Specialist

  • "What is actually true?"
  • Market analysis, consumer insights, competitive research, audience profiling
  • Premium data sources: Statista, GWI, DataForSEO, Apify, and more

• Elena — Operations & Project Orchestrator

  • "What is actually doable?"
  • Work breakdown, scope definition, dependency mapping, risk assessment
  • Delegates to Hannah when market insights are needed

Important: What AI Agents CAN vs CANNOT Do

AI Agents CAN:

• Configure API keys in environment variables
• Send requests to Hannah/Elena via API
• Send requests to Hannah/Elena via email
• Parse and integrate responses
• Handle multi-agent coordination

AI Agents CANNOT (human must do):

• Sign up for Hannah/Elena access → Human must contact Serviceplan
• Get API keys → Human must request from admin at sumike.ai
• Set up email addresses → Human needs valid email account

AI Agent: Ask upfront - "Do you have API keys for Hannah and Elena? If not, contact Serviceplan at sumike.ai."

Available Access Channels

Channel 1: API (Task-Based)

Both Hannah and Elena expose task-based REST APIs:

• Hannah API: https://hannah.sumike.ai/v1
• Elena API: https://elena.sumike.ai/v1

Key Endpoints:

• GET /v1/coworkers - List available agents
• POST /v1/tasks - Create a new task for an agent
• GET /v1/tasks/{taskId} - Check task status
• GET /v1/tasks/{taskId}/result - Get completed task result

Features:

• Asynchronous task processing (2-10 minutes typical completion time)
• Task status tracking
• Result retrieval when complete
• 60 requests/minute rate limit per agent

⏱️ IMPORTANT TIMING:

• After creating a task: Wait 2-3 minutes before checking status
• If still processing: Wait another 2-3 minutes before checking again
• Total task time: Typically 2-10 minutes depending on complexity
• DO NOT poll continuously - tasks need time to complete

Channel 2: Email

Both agents can be reached via email:

• Hannah Email: hannah@sumike.ai
• Elena Email: elena@sumike.ai

Features:

• Natural language requests in email body
• Attachment support (PPT, XLS, DOC, PDF)
• CC/threading support — they understand context
• Replies within minutes
• Deliverables as email attachments

Quick Start Guide

Step 1: Get Your API Keys

Human must do this:

1. Contact Serviceplan at sumike.ai
2. Request access to Hannah and/or Elena
3. Receive API keys (format: sk-sumike-xxxxx)

Step 2: Configure Environment Variables

AI Agent can do this:

# Hannah API key
export HANNAH_API_KEY=sk-sumike-your-hannah-key-here
export HANNAH_API_BASE_URL=https://hannah.sumike.ai

# Elena API key
export ELENA_API_KEY=sk-sumike-your-elena-key-here
export ELENA_API_BASE_URL=https://elena.sumike.ai

# Optional: Email addresses (if different from defaults)
export HANNAH_EMAIL=hannah@sumike.ai
export ELENA_EMAIL=elena@sumike.ai

Or add to your .env file:

HANNAH_API_KEY=sk-sumike-xxxxx
ELENA_API_KEY=sk-sumike-yyyyy

Step 3: Use the Tools

Once configured, your agent has access to these tools:

1. list_coworkers - List available agents (Hannah, Elena)
2. hannah_create_task - Create research task for Hannah
3. elena_create_task - Create planning task for Elena
4. check_task_status - Check status of a task
5. get_task_result - Get result of completed task
6. hannah_email - Send email request to Hannah
7. elena_email - Send email request to Elena

Usage Examples

Example 1: Market Research with Hannah (API)

Agent: "I need to research the German EV market. Use Hannah."

<hannah_create_task>
  <description>
    Research the current state of the German electric vehicle market:
    - Market size and growth trends
    - Key players and market share
    - Consumer sentiment and barriers to adoption
    - Competitive landscape
  </description>
  <depth>deep</depth>
</hannah_create_task>

Result: Task created (task_xyz789).

⏱️ WAIT 2-3 MINUTES before checking status.

[Agent waits 3 minutes]

<check_task_status taskId="task_xyz789">

Result: Task completed! Hannah orchestrated Statista, GWI, and DataForSEO sub-agents.

<get_task_result taskId="task_xyz789">

Result: Comprehensive research report with sources and confidence levels.

Example 2: Project Planning with Elena (API)

Agent: "Need to break down a Q2 campaign launch. Use Elena."

<elena_create_task>
  <description>
    Break down a Q2 product campaign launch into workstreams:
    - Product: New premium EV model
    - Target: German market, affluent early adopters
    - Timeline: Launch April 1st
    - Budget: €500k

    Provide detailed work breakdown with dependencies and risks.
  </description>
</elena_create_task>

Result: Task created (task_abc456).

⏱️ WAIT 2-3 MINUTES - Elena may delegate to Hannah for market research.

[Agent waits 3 minutes]

<check_task_status taskId="task_abc456">

Result: Completed! Elena delegated to Hannah for market data, then integrated findings.

<get_task_result taskId="task_abc456">

Result: Work breakdown with dependencies, risks, and resource needs informed by research.

Example 3: Email-Based Research Request

Agent: "Send research request to Hannah via email"

<hannah_email>
  <to>hannah@sumike.ai</to>
  <subject>EV Market Research Request</subject>
  <body>
    Hi Hannah,

    I need comprehensive research on the German EV market for Q2 2026:
    1. Market size and growth projections
    2. Competitive landscape analysis
    3. Consumer sentiment (barriers and motivators)

    Please provide sources and confidence levels for all findings.

    Thanks!
  </body>
</hannah_email>

Result: Email sent. Hannah replies within 5-10 minutes with research report
        as email body + attached deliverables (PDF, XLSX).

Example 4: Elena Delegates to Hannah

Agent: "Elena, plan the EV campaign launch"

<elena_create_task>
  <description>
    Create project plan for German EV campaign launch:
    - Product: Premium EV sedan
    - Launch date: April 1, 2026
    - Target audience: Affluent professionals, 35-55
    - Budget: €500k
  </description>
</elena_create_task>

Workflow:
1. Elena receives task
2. Elena identifies missing market context
3. Elena delegates research to Hannah (internal A2A)
4. Hannah executes research using premium data sources
5. Elena integrates findings into operational plan
6. Elena delivers: Work breakdown + dependencies + risk matrix + deliverables

Result: Comprehensive project plan informed by real market data

Agent Personalities & Best Practices

Working with Hannah

Character:

• Analytical, reflective, opinionated
• Values research integrity over speed
• Calls out weak data honestly
• "What is actually true?"

Best Practices:

• Be specific about research questions
• Specify required depth (quick lookup vs deep research)
• Ask for source attribution
• Expect critical assessment, not just data dumps

Example Good Request:

"Hannah, I need to validate whether 'sustainability' is a real
purchase driver for EVs in Germany, or if it's post-rationalized.
Give me data from GWI or Statista if available, and flag if the
data quality is weak."

Working with Elena

Character:

• Direct, pragmatic, grounded
• Protects delivery through realism
• Challenges vague goals
• "What is actually doable?"

Best Practices:

• Provide clear goals and constraints upfront
• Specify dependencies you know about
• Ask for risk assessment
• Expect honest pushback on unrealistic plans

Example Good Request:

"Elena, break down a 6-week campaign launch:
- Product: New EV model
- Launch: April 1st
- Constraint: No dedicated PM resource
- Concern: Unclear target audience

Flag dependencies and risks."

Multi-Agent Coordination

Pattern 1: Sequential (Research → Planning)

Step 1: Agent requests research from Hannah
Step 2: Agent receives research findings
Step 3: Agent requests operational plan from Elena
Step 4: Agent integrates both outputs

Pattern 2: Elena Auto-Delegates

Step 1: Agent requests project plan from Elena
Step 2: Elena detects missing market context
Step 3: Elena automatically delegates to Hannah
Step 4: Hannah returns research
Step 5: Elena integrates and delivers complete plan

Pattern 3: Parallel Consultation

Step 1: Agent sends same context to both Hannah and Elena
Step 2: Hannah returns "What is true?" perspective
Step 3: Elena returns "What is doable?" perspective
Step 4: Agent synthesizes both viewpoints

Cost & Rate Limits

API Rate Limits

• Hannah: 60 requests/minute
• Elena: 60 requests/minute
• Max concurrent requests: 5 per agent

Sokosumi Sub-Agent Costs

When Hannah or Elena orchestrate Sokosumi sub-agents:

• Statista: ~120 credits
• GWI: ~80 credits
• DataForSEO: ~60 credits
• Apify: ~40 credits

Hannah and Elena will inform you of estimated costs before executing.

⏱️ Timing Guidance

CRITICAL for AI Agents:

API Task Processing

1. After creating task: Wait at least 2-3 minutes before checking status
2. If still processing: Wait another 2-3 minutes before checking again
3. Total task time: Typically 2-10 minutes depending on complexity
4. DO NOT: Poll continuously every few seconds - tasks need time to complete

Why? Tasks involve:

• Initial processing and context loading (30 seconds)
• Research execution with sub-agents (2-10 minutes - MAIN WAIT TIME)
• Result synthesis and formatting (30 seconds - 1 minute)

Email Requests

• Typical response time: 5-10 minutes
• Complex research: Up to 15 minutes
• Expect email reply with attachments

Task Status States

AI Agent: ALWAYS wait 2-3 minutes after creating a task before checking status. Set timeouts of at least 5 minutes for API calls.

Available Tools

list_coworkers

List available agents (Hannah, Elena).

Parameters: None

Returns:

• coworkers: Array of available agents with capabilities and status
• count: Number of agents found

Example Response:

{
  "data": [
    {
      "id": "cow_hannah",
      "name": "Hannah Sumi",
      "role": "Marketing Research Specialist",
      "email": "hannah@sumike.ai"
    },
    {
      "id": "cow_elena",
      "name": "Elena",
      "role": "Operations & Project Orchestrator",
      "email": "elena@sumike.ai"
    }
  ]
}

hannah_create_task

Create a research task for Hannah.

Parameters:

• name (required): Task title (max 120 chars)
• description (optional): Detailed task description with research questions
• status (optional): "DRAFT" | "READY" (default: "READY")

Returns:

• taskId: Task identifier (e.g., "task_xyz789")
• status: Initial task status
• estimatedTime: "2-10 minutes"
• message: Includes timing guidance

⏱️ IMPORTANT: Wait 2-3 minutes before checking status!

elena_create_task

Create a planning task for Elena.

Parameters:

• name (required): Task title (max 120 chars)
• description (optional): Detailed planning requirements
• status (optional): "DRAFT" | "READY" (default: "READY")

Returns:

• taskId: Task identifier
• status: Initial task status
• estimatedTime: "2-10 minutes"
• message: Includes timing guidance

⏱️ IMPORTANT: Wait 2-3 minutes before checking status! Elena may delegate to Hannah for research.

check_task_status

Check the status of a task.

Parameters:

• taskId (required): Task ID from create_task

Returns:

• status: "DRAFT" | "READY" | "IN_PROGRESS" | "COMPLETED" | "FAILED"
• hasResult: Whether result is available
• message: Status message with timing guidance

⏱️ TIMING: Wait 2-3 minutes after creating task before first check. If still IN_PROGRESS, wait another 2-3 minutes.