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Market Report

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Compile previously-generated audit artifacts into a client-ready report in Markdown or PDF format. Invoke whenever the user says "report", "final report", "deliverable", "client report", "PDF report", or runs `/market report <url>` or `/market report --format pdf <url>`. Reads existing audit files in the project root and produces one consolidated deliverable.

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  • Added May 26, 2026
businesspythonrustgobash

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  • cli

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Scanned May 27, 2026

npx -y skills add rediumvex/ai-marketing-claude --skill market-report --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: market-report
description: Compile previously-generated audit artifacts into a client-ready report in Markdown or PDF format. Invoke whenever the user says "report", "final report", "deliverable", "client report", "PDF report", or runs `/market report <url>` or `/market report --format pdf <url>`. Reads existing audit files in the project root and produces one consolidated deliverable.
---

# Market Report — Consolidated Deliverable

Compile the outputs of previous `/market` skills into one cohesive client-ready report. Markdown by default; PDF with `--format pdf`.

## Pre-flight

1. **Scan the project root** for any of these artifacts:
   - `MARKETING-AUDIT.md`
   - `LANDING-CRO.md`
   - `SEO-AUDIT.md`
   - `BRAND-VOICE.md`
   - `COMPETITOR-ANALYSIS.md`
   - `FUNNEL-ANALYSIS.md`
   - `LAUNCH-PLAN.md`

2. **If none exist:** tell the user they should run `/market audit <url>` first. Offer to run it.

3. **If some exist:** use what's there; don't re-analyze unless data is stale or contradictory.

4. **Extract** scores, findings, and recommendations from each file. Normalize category names across files (they should already match, but verify).

5. **Determine the format** — `--format md` (default) or `--format pdf`.

## Report Assembly

Build a JSON data structure that feeds either the Markdown template or the PDF generator:

```json
{
  "url": "https://example.com",
  "brand_name": "Example",
  "date": "YYYY-MM-DD",
  "business_type": "SaaS",
  "overall_score": 62,
  "grade": "D",
  "executive_summary": "2–4 sentences.",
  "categories": {
    "Content & Messaging": {"score": 68, "weight": "25%", "top_finding": "..."},
    "Conversion Optimization": {"score": 52, "weight": "20%", "top_finding": "..."},
    "SEO & Discoverability": {"score": 74, "weight": "20%", "top_finding": "..."},
    "Competitive Positioning": {"score": 48, "weight": "15%", "top_finding": "..."},
    "Brand & Trust": {"score": 70, "weight": "10%", "top_finding": "..."},
    "Growth & Strategy": {"score": 55, "weight": "10%", "top_finding": "..."}
  },
  "findings": [
    {"severity": "Critical", "title": "...", "evidence": "...", "fix": "...", "impact": "..."}
  ],
  "quick_wins": ["..."],
  "medium_term": ["..."],
  "strategic": ["..."],
  "competitors": [
    {"name": "...", "positioning": "...", "pricing": "...", "social_proof": "...", "content": "..."}
  ]
}
```

Save to `/tmp/report_data.json`.

## Markdown Output (default)

Generate `MARKETING-REPORT-<domain>.md` using this structure:

```markdown
# Marketing Report — [Brand]
**URL:** [url]  |  **Business type:** [type]  |  **Date:** [date]

## Overall Score: [X]/100 — Grade [A-F]

[Executive summary — 2–4 sentences.]

## Scores at a Glance
| Category | Score | Weight | Status |
|---|---|---|---|
| Content & Messaging | X | 25% | ... |
| ...

## Key Findings
### 1. [Critical] [Title]
**Evidence:** [quoted]
**Fix:** [specific]
**Impact:** [reasoned]

... repeat ...

## Action Plan
### This Week — Quick Wins
1. ...
### This Month — High-Leverage
1. ...
### This Quarter — Strategic
1. ...

## Competitive Landscape
[If COMPETITOR-ANALYSIS.md exists, include the matrix]

## Methodology
[1 paragraph]

## Appendix
- [Link to MARKETING-AUDIT.md if separate]
- [Link to LANDING-CRO.md if separate]
- etc.
```

## PDF Output (`--format pdf`)

1. **Check reportlab is installed:**
   ```bash
   python3 -c "import reportlab" 2>/dev/null || pip3 install reportlab
   ```

2. **Run the generator:**
   ```bash
   python3 scripts/generate_pdf_report.py /tmp/report_data.json "MARKETING-REPORT-<domain>.pdf"
   ```

3. **Verify output exists** and report file path + size to the user.

4. **Clean up:** `rm /tmp/report_data.json`

## PDF Contents (generated by the script)

- Cover page with score gauge and grade
- Category bar chart
- Findings table with severity color coding
- Action plan in 3 tiers
- Competitive matrix (if data present)
- Methodology page

## When to use Markdown vs PDF

| Use case | Format |
|---|---|
| Internal use, iterating | Markdown |
| Email attachment to client | PDF |
| Sales proposal support | PDF |
| Version control / handoff | Markdown |

## Quality Bar

- Don't fabricate findings to fill gaps. If a category wasn't audited, leave it out or say "not assessed".
- Every score should trace back to an artifact in the project root.
- Round scores to whole numbers.
- The executive summary is the most-read section. Spend disproportionate effort on it.
- If the total score is below 40, don't sugarcoat — but do focus the reader on the 3 highest-leverage fixes, not the 30-item list.

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