An expert orchestrator that researches AI startups, performs market analysis, and generates professional PDF intelligence reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install startup-researcher
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 startup-researcher 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 Startup Researcher?
The Startup Researcher is a sophisticated automation framework designed for venture capital analysts and market researchers. By leveraging Openclaw Skills, this agent autonomously tracks company watchlists, performs deep-dive research into funding and product announcements, and synthesizes raw data into structured intelligence reports. It bridges the gap between web-scale data collection and executive-level documentation.
This skill excels at transforming fragmented web information into cohesive market landscapes. It utilizes specialized sub-agent prompts to ensure every company profile is consistent, while its integrated PDF engine ensures that the final output is ready for professional distribution. Whether you are updating a weekly AI watchlist or conducting a deep-dive competitive analysis, this tool streamlines the entire intelligence lifecycle.
Startup Researcher Use Cases
- Automated tracking of AI startup funding rounds and product launches.
- Generating comprehensive competitive landscape reports for VC firms.
- Maintaining a structured database of company profiles and market trends.
- Weekly intelligence briefings for executive teams on emerging AI technologies.
How Startup Researcher Works
- Watchlist Initialization: The skill reads the watchlist.yaml file to identify target companies or processes user-specified targets.
- Distributed Research: It dispatches sub-agents to perform parallel research on individual companies, saving raw markdown profiles for every entity.
- Macro Analysis: The agent aggregates individual findings into category-level overviews and competitive matrices using market analysis prompts.
- Report Compilation: It merges all analysis and profiles into a single markdown draft while maintaining a technical and justified layout.
- Professional Rendering: The system converts the draft into a high-quality PDF using WeasyPrint with a custom CSS style guide.
Startup Researcher Setup
Ensure your environment has the necessary system libraries for PDF rendering.
System Dependencies:
# macOS
brew install pango cairo gdk-pixbuf libffi
# Ubuntu/Debian
apt-get update && apt-get install -y libpango-1.0-0 libcairo2 libgdk-pixbuf2.0-0
Python Installation:
pip3 install weasyprint markdown
Startup Researcher Data Schema & Taxonomy
The skill maintains a strict file hierarchy for auditability and organization:
| File/Path | Description |
|---|---|
watchlist.yaml |
The primary list of companies and categories to monitor. |
references/<date>/<company>/profile.md |
Individual company profiles and raw research data. |
references/<date>/final_draft.md |
The compiled markdown report before PDF conversion. |
style.css |
Custom styling for the final PDF (Times New Roman, Navy/Slate theme). |
final_draft.pdf |
The final professional briefing ready for delivery. |
Startup Researcher Advanced Features
- Multi-agent orchestration for parallelized company research.
- Custom CSS injection for branded PDF report generation.
- Automatic system dependency resolution for C-libraries (Cairo/Pango).
- Category-level macro analysis including Pros/Cons competitive matrices.
- Intelligent rate limiting and batching for Openclaw Skills users to prevent context bloat.
SKILL.md
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