AI Mapping — Opportunity Scorer

Score and rank AI mapping opportunities that were previously identified.

Step 1: Find Existing Maps

Search the working directory for any AI-MAP-*.md files generated by the map skill. If none exist, tell the user to run /map first.

Read all found map files to collect the identified opportunities.

Step 2: Score Each Opportunity

For each opportunity, evaluate on three dimensions:

Revenue Impact (1-5)

• 1: Minor efficiency gain, no revenue impact
• 2: Small time savings, indirect revenue effect
• 3: Moderate revenue increase or cost reduction ($100-500/mo)
• 4: Significant revenue increase ($500-2000/mo) or major cost elimination
• 5: Transformative revenue potential ($2000+/mo) or entirely new revenue stream

Capital Reduction (1-5)

• 1: No effect on capital needs
• 2: Slight reduction in tool/service costs
• 3: Eliminates need for one contractor or paid service
• 4: Eliminates need for a hire or major investment
• 5: Fundamentally changes capital structure (self-funding becomes possible)

Ease of Implementation (1-5)

• 1: Requires new infrastructure, skills, or significant development
• 2: Requires moderate setup and configuration
• 3: Can be done in a few hours with existing tools
• 4: Can be done in under an hour with existing tools
• 5: Can be activated immediately — infrastructure already exists

Composite Score

Formula: (Revenue Impact x 2) + Capital Reduction + Ease of Implementation Maximum: 20 points

Step 3: Generate Ranked Output

Create a table sorted by composite score:

Then for the Top 5, provide:

• What to do (2-3 sentences)
• First concrete step (the very next action)
• Expected timeline to first results
• The paper says: Connect to a relevant finding from Kim, Kim & Koning (2026)

Step 4: The "Activate Now" List

Identify any opportunities scoring 15+ that can be activated TODAY (Ease = 5). These are the "infrastructure exists, nobody pressed send" situations — the mapping problem in its purest form.

Present these separately with a clear call to action.

Step 5: Update the HTML Heat Map (if it exists)

If a corresponding AI-MAP-[date].html file exists in the working directory, update it to reflect the new prioritization:

1. Read the existing HTML file
2. Add or update the ★ opportunity star markers in the heat map cells based on the new top-10 scoring (any cell whose venture × function appears in the top 10 should have a star)
3. Replace the Top 10 Opportunities section content with the freshly scored ranked list
4. Replace the Press-Send Opportunities section with the latest "Activate Now" list (Score ≥ 15 and Ease = 5)
5. Save the file

The HTML and MD files should always stay in sync. If the user runs /map then later /map-score, both files should reflect the latest scoring.

If no HTML file exists, generate one using the template at ${CLAUDE_PLUGIN_ROOT}/skills/ai-mapping-audit/templates/heat-map-template.html (see /map skill Step 6 for the format).

After updating, tell the user:

Updated AI-MAP-[date].html with the new prioritization. Open it in your browser to see the visual heat map with ★ markers on your top opportunities.

Key Principle

"Revenue and investment gains are largest at the 90th percentile and above." — Kim, Kim & Koning (2026)

Remind the user: Don't spread thin. Pick the top 3 opportunities and execute deeply rather than attempting all of them at once.