Individual skill
intelligence-report
Report on the brand intelligence base: confident learnings, patterns, playbooks, gaps. "what have we learned across campaigns"
plugins/indranilbanerjee/digital-marketing-pro/skills/intelligence-report/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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# /digital-marketing-pro:intelligence-report
> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).
## Purpose
Generate a comprehensive intelligence briefing from the brand's compound intelligence system. This command surfaces the accumulated knowledge that agents have built over time — total learnings captured, confidence distribution across insights, top patterns identified across agents and channels, actionable playbooks generated from proven strategies, and intelligence base health metrics showing where the knowledge is strong and where gaps exist. The intelligence report turns raw accumulated data into strategic advantage by synthesizing cross-agent patterns that no single agent would surface alone. Use it for quarterly planning, strategy reviews, onboarding new team members to a brand's marketing intelligence, or identifying which areas need more experimentation and data collection to strengthen decision-making confidence.
## Input Required
The user must provide (or will be prompted for):
- **Focus area (optional)**: A specific channel (email, paid search, social), audience segment, campaign objective (awareness, conversion, retention), or strategic theme to deep-dive. If provided, the report prioritizes patterns, playbooks, and recommendations for that focus area while still including the full intelligence base overview. If omitted, the report covers all dimensions equally
- **Playbook request (optional)**: A specific scenario to generate an actionable playbook for — e.g., "Q2 product launch on paid social", "re-engagement campaign for churned subscribers", or "brand awareness push in new market". The intelligence system synthesizes relevant learnings into a step-by-step playbook grounded in proven patterns from this brand's data