moatmri
Helps your agent analyze AI's business impact and create a defensive action plan.
What it does
This tool analyzes how vulnerable your business is to artificial intelligence (AI). It identifies where AI might cause the most trouble and suggests a 90-day action plan.
When to use it
- ✓To know if your business is at risk from AI.
- ✓To understand how an AI-focused competitor could overtake you.
- ✓To create a 90-day defense plan against AI.
Example of what to ask your AI
“Assess where this business is most exposed to AI disruption and produce a prioritized 90-day defensive plan.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool gathers information about your industry and business type. It then scores 10 different areas of AI risk, creates a story of how an AI competitor might replace you, and proposes a 90-day action plan.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill moatmriOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/moatmri/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
MoatMRI — AI Disruption Pressure Analysis
Where does intelligence pressure break this system first?
When to Use This Skill
- "Is my business at risk from AI? Where am I most exposed?"
- "How would an AI-native startup take over my market?"
- "What should I do in the next 90 days to defend against AI disruption?"
- "I'm doing due diligence on [company] — what's their AI displacement risk?"
- "Where does my competitive moat actually hold against AI pressure?"
How It Works
Step 1 — Gather Inputs
Ask if not provided:
- Industry (e.g., "real estate", "community banking", "retail pharmacy", "law firm")
- Entity type (e.g., "independent broker", "solo practitioner", "regional franchise")
- Target name (optional — specific organization for named analysis)
Example
User request:
Assess where this business is most exposed to AI disruption and produce a prioritized 90-day defensive plan.
Limitations
- Produces strategic risk analysis, not audited market research or investment advice.
- Depends on current company, market, regulatory, and competitive context supplied by the user or gathered from reliable sources.
- Treats disruption scenarios as planning tools; scores should be revisited as new evidence appears.
Step 2 — 10-Vector Pressure Map
Score AI disruption pressure across exactly these 10 vectors (0–10):
| # | Vector | What to Measure |
|---|---|---|
| 1 | labor_substitution | Which roles/functions are directly automatable |
| 2 | customer_interface | How AI changes how customers reach this entity |
| 3 | knowledge_commoditization | Does AI commoditize the expertise this entity sells |
| 4 | pricing_pressure | Does AI enable lower-cost competitors to undercut |
| 5 | supply_chain_automation | Does AI change input costs or supplier relationships |
| 6 | data_moat | Does this entity have proprietary data AI can't replicate |
| 7 | trust_relationship_moat | How much does customer loyalty protect against displacement |
| 8 | distribution_channel_disruption | Does AI create new channels that bypass this entity |
| 9 | regulatory_compliance_exposure | Does AI alter the regulatory or liability landscape |
| 10 | decision_speed_gap | Does AI accelerate decisions in ways that disadvantage this entity |
For each vector produce: score, headline, near_term (12 months), far_term (3 years).
Aggregate risk score: mean of all 10 vectors. Flag any vector ≥ 7 as critical.
Step 3 — AI Front-Door Takeover Storyboard
6-step narrative of how an AI-native competitor displaces this entity:
- The entry point
- The wedge (first 10% of market)
- The acceleration (what makes it compound)
- The tipping point (when incumbent can't recover)
- The aftermath
- The survivor profile
Step 4 — 90-Day Counterstrike Plan
- Track A (Days 0–30): Immediate defense — what to stop, what to protect
- Track B (Days 31–60): Intelligence-layer build — data/relationships to fortify
- Track C (Days 61–90): Offensive positioning — use AI pressure as competitive weapon
Best Practices
- ✅ Score all 10 vectors before calculating aggregate — resist stopping at obvious ones
- ✅ Keep the storyboard specific to industry/entity, not generic disruption narrative
- ✅ Track C should be actionable within 90 days, not aspirational 3-year strategy
- ❌ Don't conflate data_moat with trust_relationship_moat — they protect differently
Additional Resources
- Repository: thebrierfox/moatmri-skill
- Full BYOK tool: ace-license-server-production.up.railway.app/byok/moatmri
- Built by IntuiTek¹ (~K¹) — MIT License
FAQ
What are the '10 pressure vectors'?
These are 10 specific areas that AI can impact, such as task automation, how customers interact, commoditization of knowledge, etc. Each area gets a risk score.
What is the 'pressure map'?
It's an analysis showing the AI risk score for each of the 10 vectors, helping to identify the most critical points.
Is the 90-day plan a long-term strategy?
No, the plan focuses on immediate, short-term actions to defend your business and position yourself against AI.
Details
Original description by the author
Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3605
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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