An AI-driven reporting skill that aggregates lead data into structured summaries, trends, and priority breakdowns.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install summary-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install summary-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Summary Generator?
The Summary Generator is a specialized tool within the Openclaw Skills library designed to provide high-level visibility into lead data without compromising database integrity. It specializes in aggregating read-only records to produce concise reports on broker inventory, buyer requirements, and market trends. By operating within a strict read-only boundary, it ensures that AI agents can analyze data and suggest downstream actions safely and accurately.
This skill is built for developers who need to bridge the gap between raw data storage and actionable insights. Whether you are building a dashboard or an automated reporting agent, the Summary Generator provides the structured metrics required for sophisticated decision-making, ensuring that every summary is validated against predefined JSON schemas before delivery.
Summary Generator Use Cases
- Generating daily lead summaries to identify high-priority human review tasks.
- Analyzing broker inventory counts versus buyer requirements within specific date ranges.
- Tracking locality trends to see which geographic areas are seeing the highest volume.
- Providing a structured breakdown of lead urgency and priority for executive reporting.
How Summary Generator Works
- The supervisor agent initiates a request with a specific date range and dataset parameters.
- The skill validates the incoming request against the summary-input.schema.json to ensure data consistency.
- It executes read-only queries against the lead database to gather relevant records.
- Metrics are aggregated, including record type breakdowns (inventory vs. buyer) and priority levels (P1-P3).
- The final data object is validated against the summary-output.schema.json.
- A structured, validated summary object is returned for use in the next stage of the agentic workflow.
Summary Generator Setup
To integrate this component into your Openclaw Skills environment, ensure you have the required reference schemas in your project path.
# Ensure schema references are present
ls references/summary-input.schema.json
ls references/summary-output.schema.json
# Configure read-only database environment variables
export LEAD_DB_READ_ONLY=true
Summary Generator Data Schema & Taxonomy
The Summary Generator outputs a highly structured JSON object following this taxonomy:
| Metric | Type | Description |
|---|---|---|
new_leads_count |
Integer | Total count of leads found in the date range. |
priority_breakdown |
Object | Count of leads categorized by P1, P2, and P3. |
record_type_breakdown |
Object | Counts for inventory_listing vs. buyer_requirement. |
top_localities |
Array | A list of high-volume areas with their respective lead counts. |
urgency_breakdown |
Object | Categorization by high, medium, and low urgency levels. |
Summary Generator Advanced Features
- Multi-stage chaining: Designed to work in a sequence following the sentiment-priority-scorer and preceding the action-suggester.
- Schema-driven validation: Uses Openclaw Skills standard JSON schemas to prevent data corruption or malformed reports.
- Zero-mutation guarantee: Enforces a strict read-only boundary, making it safe for use in sensitive production environments.
- Automated trend inference: Echoes or infers dataset modes to provide context-aware reporting.
SKILL.md
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