# Send Hannah & Elena client skill for coworker integration by Sokosumi to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "coworker",
    "name": "Hannah & Elena client skill for coworker integration by Sokosumi",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Sarthib7/coworker",
    "canonicalUrl": "https://clawhub.ai/Sarthib7/coworker",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/coworker",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=coworker",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "plugin.json",
      "README.md",
      "package.json",
      "SKILL.md",
      "tsconfig.json",
      "API_GUIDE.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "coworker",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-04T01:36:45.103Z",
      "expiresAt": "2026-05-11T01:36:45.103Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=coworker",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=coworker",
        "contentDisposition": "attachment; filename=\"coworker-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "coworker"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/coworker"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/coworker",
    "downloadUrl": "https://openagent3.xyz/downloads/coworker",
    "agentUrl": "https://openagent3.xyz/skills/coworker/agent",
    "manifestUrl": "https://openagent3.xyz/skills/coworker/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/coworker/agent.md"
  }
}
```
## Documentation

### 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."

### 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

### Step 1: Get Your API Keys

Human must do this:

Contact Serviceplan at sumike.ai
Request access to Hannah and/or Elena
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:

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

### 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

### 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."

### 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

### 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

After creating task: Wait at least 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 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

StatusDescriptionNext ActionDRAFTTask created but not startedSystem will auto-processREADYTask queued for processingWait 2-3 minutesIN_PROGRESSAgent is workingWait 2-3 minutes, then check againCOMPLETEDTask finishedRetrieve resultFAILEDTask failedCheck error message

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

### 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.

### get_task_result

Get the result of a completed task.

Parameters:

taskId (required): Task ID from create_task

Returns:

result: Task result data (research findings or operational plan)
status: Task status (must be "COMPLETED")
completedAt: Completion timestamp
deliverables: Links to any generated files (PDF, XLSX, PPTX)

Note: Only works for completed tasks. Use check_task_status first to verify completion.

### hannah_email

Send email request to Hannah.

Parameters:

to (required): Email address (default: hannah@sumike.ai)
subject (required): Email subject line
body (required): Email body with request details
cc (optional): CC addresses
attachments (optional): Attachment file paths

Returns:

status: "sent"
messageId: Email message ID
estimatedResponse: Estimated response time

### elena_email

Send email request to Elena.

Parameters:

to (required): Email address (default: elena@sumike.ai)
subject (required): Email subject line
body (required): Email body with request details
cc (optional): CC addresses
attachments (optional): Attachment file paths

Returns:

status: "sent"
messageId: Email message ID
estimatedResponse: Estimated response time

### check_hannah_status

Check if Hannah is available.

Returns:

available: true | false
responseTime: Estimated response time
message: Status message

### check_elena_status

Check if Elena is available.

Returns:

available: true | false
responseTime: Estimated response time
message: Status message

### API Errors

ErrorCauseSolution401 UnauthorizedInvalid or missing API keySet correct API key in environment429 Rate LimitedExceeded 60 req/minWait 60 seconds before retrying503 Service UnavailableAgent temporarily downRetry after 2-3 minutes or use email channeltimeoutRequest took too longIncrease timeout for research tasks

### Email Errors

ErrorCauseSolutionEmail not sentInvalid email addressCheck HANNAH_EMAIL / ELENA_EMAIL configNo response after 15 minComplex research taskWait longer or check spam folderBounceEmail delivery failedVerify email address and network

### "API key is missing"

Solution: Set HANNAH_API_KEY and/or ELENA_API_KEY in environment variables.

### "Hannah/Elena not responding"

Solution:

Check agent status using check_hannah_status or check_elena_status
Verify API endpoint is correct
Try alternative channel (API → Email or vice versa)

### "Sokosumi credits exhausted"

Hannah/Elena will inform you:

"I need to use Statista for this research, which requires 120 credits.
Your current Sokosumi balance is 50 credits. Please add credits at
sokosumi.com to continue."

Solution: Add credits to your Sokosumi account (if using premium data sources)

### "Rate limit exceeded"

Solution:

Reduce request frequency (max 60/minute per agent)
Use batch requests where possible
Consider email channel for non-urgent requests

### Pattern A: Research-First Workflow

1. Your agent identifies need for market data
2. Call hannah_research with specific questions
3. Wait for response (2-10 minutes)
4. Integrate findings into your agent's output
5. Optionally: Send to Elena for operational planning

### Pattern B: Planning-First Workflow

1. Your agent receives project request
2. Call elena_plan with requirements
3. Elena auto-delegates research to Hannah if needed
4. Receive comprehensive plan with market context
5. Execute or refine based on deliverables

### Pattern C: Parallel Advisory

1. Your agent faces strategic decision
2. Call hannah_research for market reality
3. Call elena_plan for operational feasibility
4. Compare responses: "What's true" vs "What's doable"
5. Make informed decision with both perspectives

### API Keys

API keys are scoped to specific agents (Hannah or Elena)
Keys format: sk-sumike-xxxxx
Maximum 5 active keys per contact
Rotate keys every 90 days recommended

### Data Handling

Conversation history stored in PostgreSQL (isolated per agent)
Research results cached for 30 days
Email attachments stored in Azure File Share
No data shared between Hannah and Elena without explicit delegation

### Compliance

GDPR compliant (data processing agreement available)
SOC 2 Type II certified infrastructure
Data residency: EU (Azure West Europe)

### Custom Endpoints

# Override default endpoints
export HANNAH_API_ENDPOINT=https://custom-hannah.your-domain.com/v1
export ELENA_API_ENDPOINT=https://custom-elena.your-domain.com/v1

### Proxy Configuration

# Route through proxy
export HTTPS_PROXY=https://your-proxy.com:8080
export NO_PROXY=localhost,127.0.0.1

### Timeout Settings

# Adjust timeouts (in seconds)
export HANNAH_TIMEOUT=300  # 5 minutes for research
export ELENA_TIMEOUT=180   # 3 minutes for planning

### Hannah API

Endpoint: https://hannah.sumike.ai/v1/chat/completions

Authentication: Authorization: Bearer sk-sumike-xxxxx

Request Body:

{
  "messages": [
    {"role": "user", "content": "Your research request here"}
  ],
  "stream": false
}

Response:

{
  "id": "msg_xxx",
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Research findings..."
      }
    }
  ]
}

### Elena API

Endpoint: https://elena.sumike.ai/v1/chat/completions

Same format as Hannah API.

### Resources

Hannah & Elena Homepage: https://sumike.ai
Serviceplan: https://www.serviceplan.com
Sokosumi Marketplace: https://sokosumi.com
Support: support@sumike.ai

### Summary for AI Agents

Quick Setup:

Obtain API keys from Serviceplan (human task)
Set HANNAH_API_KEY and ELENA_API_KEY in environment
Use hannah_research for market research
Use elena_plan for project planning
Be patient — research tasks take 2-10 minutes
Integrate responses into your agent's workflow

Key Principles:

Hannah validates ideas through research integrity ("What is true?")
Elena protects delivery through realism ("What is doable?")
Both agents can orchestrate Sokosumi sub-agents for premium data
Elena auto-delegates to Hannah when market context is needed
Support both API and email channels for flexibility

Remember:

Research depth impacts response time
Set realistic timeouts (3-5 minutes minimum)
Hannah and Elena are professional coworkers, not assistants
They will push back on vague requests or weak assumptions
Cost transparency — they inform you before consuming credits

Built by Serviceplan | Powered by Sokosumi

Professional AI coworkers for marketing research and operations planning
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Sarthib7
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-04T01:36:45.103Z
- Expires at: 2026-05-11T01:36:45.103Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/coworker)
- [Send to Agent page](https://openagent3.xyz/skills/coworker/agent)
- [JSON manifest](https://openagent3.xyz/skills/coworker/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/coworker/agent.md)
- [Download page](https://openagent3.xyz/downloads/coworker)