An AI-driven strategic SOP for reverse-engineering competitor growth flywheels, website milestones, social media propagation chains, and pricing structures.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gr-competitor-research
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 gr-competitor-research 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 Competitor Research & Growth Flywheel Playbook?
The Competitor Research & Growth Flywheel Playbook is a systematic Standard Operating Procedure (SOP) designed to help founders, growth marketers, and developers reverse-engineer their competitors' rapid market adoption. Originally battle-tested across 150+ AI startups (including the viral Lovable case study with over 4.3 million views), this playbook breaks down the exact mechanics of how a competitor launched, scaled, and captured their audience.
By leveraging this tool among your Openclaw Skills, you can automate or guide your AI agent to dismantle competitive websites across historical milestones (from MVP to formal launch), evaluate multi-channel social media strategies, score growth flywheels across six distinct operational stages, and identify high-value Key Opinion Leaders (KOLs). This ensures you build a highly targeted, data-backed go-to-market strategy based on real-world competitive intelligence.
Competitor Research & Growth Flywheel Playbook Use Cases
- Analyzing Competitor Launch Strategies: Understand how direct competitors gained rapid traction during their launch week.
- Reverse-Engineering Website Evolution: Use historical website snapshots to see how value propositions and pricing tiers have adapted over time.
- Social Media Propagation Mapping: Track the chronological spread of competitor announcements across X (Twitter) and other platforms.
- Growth Flywheel Performance Auditing: Evaluate competitor strengths and weaknesses in activation, referral, and retention stages to spot gaps in your own funnel.
- KOL & Influencer Targeting: Identify the traffic drivers, topic starters, and mindset shifters powering competitor visibility.
How Competitor Research & Growth Flywheel Playbook Works
- Execute Website Teardown: Analyze the competitor's historical landing pages across three critical phases (V1, Beta, Launch) using the Wayback Machine to trace value proposition changes.
- Map Traffic & Distribution Channels: Leverage integration tools like SimilarWeb and Semrush to trace traffic sources, SEO actions, and ad placements.
- Deconstruct Social Media Strategy: Evaluate the competitor's social media matrix, publishing cadences, and content distribution models (such as X/Twitter accounts from official channels to founder personal brands).
- Score the Growth Flywheel: Assess the competitor's activation, referral, acquisition, retention, revenue, and product optimization loops.
- Analyze Virality & Propagation: Map social propagation across four distinct phases to discover which content types (Visual Demo, User Stories, or Comparison) triggered viral growth.
- Synthesize Insights & Actionable Tactics: Run the comprehensive five-dimensional analysis to generate self-check checklists and execute targeted GTM strategies.
Competitor Research & Growth Flywheel Playbook Setup
To install and activate this competitor research playbook within your Openclaw Skills collection, configure your environment and pull the skill playbook from the repository:
# Clone the repository containing the skill
git clone https://github.com/Gingiris-1031/gingiris-skills.git
# Navigate to the competitor research directory
cd gingiris-skills/skills/gr-competitor-research
# Initialize the playbook templates
cp templates/insight-framework.md.template config.md
Next, ensure your AI agent is configured with access to key external tool APIs such as Wayback Machine, Semrush, or SimilarWeb to automate the data extraction phase.
Competitor Research & Growth Flywheel Playbook Data Schema & Taxonomy
This playbook organizes and tracks competitor insights using a structured file database schema. Key generated assets and configuration structures include:
| Directory / File | Description | Output Format |
|---|---|---|
/raw_snapshots/ |
Archive of captured website screenshots and raw HTML text | JSON / PNG |
/analysis/evolution_matrix.md |
Chronological comparison table of V1, Beta, and Launch stages | Markdown Table |
/social/propagation_chain.json |
Network-style log tracking X/Twitter viral propagation timelines | JSON |
/flywheel/scorecard.md |
Six-stage scoring table evaluating activation, referral, and retention | Markdown |
/kol_database.csv |
Indexed database of influential accounts categorized by Traffic, Topic, or Mindset | CSV |
/insights_report.md |
Final five-dimensional report summarizing actionable GTM strategies | Markdown |
Competitor Research & Growth Flywheel Playbook Advanced Features
- Automated Twitter Search Query Generation: Dynamically formats complex advanced search strings (e.g., specific handles, date ranges, and filters) to scrape targeted Twitter data.
- Lovable.dev Benchmark Case Study: Built-in reference files from real-world high-growth startup launches to serve as an instant performance baseline.
- Multi-lingual Support: Built-in localization support for English, Chinese, Japanese, and Korean outputs.
- Self-Check Verification Hook: Features an automated 9-point quality assurance checklist evaluating completeness across ICP coverage, pricing upgrades, and risk mitigation profiles before finalizing reports.
SKILL.md
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