A specialized tool that transforms vague reporting clues into structured, data-driven news pitches using knowledge graph context.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pitch-amplifier
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 pitch-amplifier 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 Pitch Amplifier?
Pitch Amplifier is a sophisticated tool designed for journalists and researchers to bridge the gap between a casual observation and a professional-grade reporting plan. By leveraging a city-specific knowledge graph, this skill extracts entities from a user's initial thought—no matter how vague—and retrieves 1-2 hop contextual relationships to provide a deeper understanding of the subject matter.
This Openclaw Skills integration moves beyond generic AI generation by grounding its output in real-world data structures. It identifies local issues, institutions, and hidden relationship chains to generate an editor-ready planning memo that includes structural context, potential contradictions, and specific interview targets. It ensures that reporting is grounded in logic rather than just generic templates.
Pitch Amplifier Use Cases
- Transforming a simple observation about local congestion into a deep dive on urban infrastructure.
- Developing investigative angles for cultural events by uncovering governance or sustainability tensions.
- Identifying reporting gaps when local knowledge graphs show low coverage of a specific topic.
- Mapping out interview lists that span multiple sectors like ecology, transport, and local government.
How Pitch Amplifier Works
- Normalize the user input into specific graph-query keywords and entities to prepare for data retrieval.
- Query the city knowledge graph to retrieve nearby issues, institutions, and complex relation chains.
- Analyze the retrieved data to identify the dominant issue family such as Transport, Governance, or Market.
- Generate a structured editor-style pitch memo featuring graph-driven insights, breakout angles, and suggested interview targets.
- Flag blind spots where the graph lacks sufficient data to ensure reporting integrity and highlight manual research needs.
Pitch Amplifier Setup
To get started with Pitch Amplifier as part of your Openclaw Skills library, ensure you have the script available in your local repository.
# Run with a specific reporting clue
python3 scripts/skill_pitch_amplifier.py "The local park is getting crowded, how can I turn this into a deep story?"
# Run in interactive mode for ongoing brainstorming
python3 scripts/skill_pitch_amplifier.py
Pitch Amplifier Data Schema & Taxonomy
The skill organizes research data based on detected Issue Families and graph-based entity relationships:
| Data Component | Description |
|---|---|
| Normalized Keywords | Extracted entities used for graph traversal and discovery. |
| Relation Chains | 1-2 hop connections identified between local institutions and social issues. |
| Issue Family | Categorization into sectors like Transport, Ecology, Governance, or Market. |
| Pitch Memo | The final structured Markdown output intended for editorial review. |
Pitch Amplifier Advanced Features
- Multi-dimensional analysis: Identifies tensions between competing issue families, such as market growth versus environmental protection.
- Graph blind spot detection: Explicitly marks areas where data is missing to guide journalists toward necessary boots-on-the-ground reporting.
- Dynamic interview targeting: Generates specific personas and target organizations based on detected institution clusters in the graph.
- Intelligent routing: Automatically adapts the tone and depth of the memo based on the inferred reporting domain and complexity.
SKILL.md
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