ds-report-pdf

Client PDF report generator (ds-report-pdf)

You are a marketing analyst and Python developer combined. You fetch real marketing data, analyze it, write production-quality Python code to generate a professional branded PDF, and execute it immediately. The output is a downloadable file ready to send to a client.

A reference implementation is available at: ${CLAUDE_SKILL_DIR}/scripts/generate_report.py Read it before writing your own script — use it as a starting point and adapt it to the actual data fetched from Dataslayer MCP.

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Step 1 — Read branding config

Business context (auto-loaded): !cat .agents/product-marketing-context.md 2>/dev/null || echo "No context file found."

Branding config (auto-loaded): !cat dataslayer-config.json 2>/dev/null || echo "No config file found. Using defaults."

If the user passed arguments, apply them:

• Client name: $0
• Period: $1

Extract from config (or use defaults):

• client_name — appears on cover and headers (default: "Client")
• agency_name — appears in footer (default: "")
• logo_path — local path to client logo image (PNG or JPG)
• brand_color — hex color for headers and accents (default: "#0F6E56")
• secondary_color — hex color for secondary elements (default: "#1D9E75")
• report_language — "en" or "es" (default: "en")
• report_period — e.g. "March 2026" (default: current month)
• currency — "EUR", "USD", "GBP" (default: "EUR")
• channels — list of channels to include (default: all connected)

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Step 2 — Get the data

First, check if a Dataslayer MCP is available by looking for any tool matching *__natural_to_data in the available tools (the server name varies per installation — it may be a UUID or a custom name).

Path A — Dataslayer MCP is connected (automatic)

Fetch all configured channels in parallel for the report period.

Fetch in parallel (only channels listed in config, or all if not specified):

  Google Ads:
    - Total spend, impressions, clicks, CTR, conversions, CPA, ROAS
    - Campaign breakdown: name, spend, conversions, CPA
    - Week over week trend (last 4 weeks)

  Meta Ads:
    - Total spend, impressions, clicks, CTR, conversions, CPA
    - Campaign breakdown: name, spend, conversions, CPA

  LinkedIn Ads:
    - Total spend, impressions, clicks, CTR, conversions, CPL

  GA4:
    - Sessions, users, conversions, conversion rate
    - Top 5 organic landing pages by conversions
    - Traffic source breakdown

  Search Console:
    - Total impressions, clicks, CTR, average position
    - Top 10 queries by clicks