Scout Growth is a world-class autonomous market intelligence and growth research skill system designed to transform raw data into decision-grade insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install scout-growth
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 scout-growth 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 Scout Growth?
Scout Growth is an advanced intelligence framework built for the modern growth hacker and market analyst. It operates on the philosophy that research should serve decisions rather than just reports, moving beyond simple data collection to provide synthesized recommendations. By combining the systematic rigor of top-tier consulting firms with the agility of growth-focused startups, it empowers AI agents to perform deep-dive market analysis, validate product ideas, and map competitive landscapes autonomously.
As a cornerstone of Openclaw Skills, this system utilizes a domain-specific reference architecture. This means the agent doesn't just search the web blindly; it follows specialized methodologies for social listening, trend detection, and opportunity scoring. It is designed to be triggered aggressively whenever a user needs to find information that drives better business decisions.
Scout Growth Use Cases
- Validating new product ideas by assessing market demand and identifying keyword gaps.
- Conducting deep-dive competitor analysis to map positioning and discover pricing intelligence.
- Monitoring social conversations on platforms like Reddit and Twitter to find early market signals.
- Sizing markets (TAM/SAM/SOM) and evaluating potential entry points for new ventures.
- Identifying Ideal Customer Profiles (ICP) through audience psychology and pain point mapping.
How Scout Growth Works
- Domain Identification: The system analyzes the user request to identify which research domains (e.g., market research, social listening, or trend detection) are required.
- Reference Loading: It accesses specific reference files from the
references/directory to load domain-specific frameworks and methodologies. - Information Gathering: The skill executes research using the calibrated depth (Quick, Standard, or Deep) based on the decision's importance.
- Synthesis and Calibration: Findings are cross-referenced and assigned confidence labels (High, Medium, or Low) based on the source hierarchy.
- Briefing Delivery: The final output is formatted using the SEIAR (Summary, Evidence, Implications, Action, Risk) standard to ensure it is immediately actionable.
Scout Growth Setup
To integrate Scout Growth into your environment, ensure you have the core reference library available in your agent's directory.
# Navigate to your agent skills directory
cd agent-skills/scout-growth
# Ensure reference files are indexed
ls references/
# Initialize the skill within your AI agent configuration
openclaw install scout-growth
Scout Growth Data Schema & Taxonomy
The Scout Growth system organizes intelligence using a structured taxonomy based on the SEIAR framework and domain categorization.
| Component | Description | Metadata Captured |
|---|---|---|
| Research Briefing | The primary output document | Decision context, Confidence score, Action items |
| Reference Files | Domain-specific methodology guides | Research frameworks, Search strategies |
| Evidence Base | Raw findings and source links | Source reliability, Freshness date, Category |
| Opportunity Matrix | Scoring of potential initiatives | Effort vs. Impact, Timing, Strategic fit |
Scout Growth Advanced Features
- Autonomous Mandate: The skill can proactively surface signals and trends without explicit user prompts if it detects relevant shifts in data.
- SEIAR Framework Integration: Every deliverable is automatically structured for C-suite decision-making, including risks and confidence levels.
- Multi-Domain Synthesis: Capable of blending data from social listening, web research, and financial filings into a single cohesive report.
- Speed-Depth Calibration: Automatically adjusts the intensity of research from a 15-minute directional check to a 16-hour deep strategic sweep.
- Confidence Labeling: Built-in credibility assessment that highlights the reliability of every factual finding within Openclaw Skills.
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