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recall

Recall past learnings for a channel or audience as a confidence-ranked playbook. "what worked last time"

plugins/indranilbanerjee/digital-marketing-pro/skills/recall/SKILL.md

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# /digital-marketing-pro:recall

> **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

Retrieve relevant learnings from the brand's compound intelligence graph. Given a context — channel, audience, objective, or situation — return the most relevant validated insights ranked by confidence and recency. Turns accumulated marketing knowledge into an actionable playbook for any scenario, so past learnings directly inform current decisions without relying on memory or searching through old reports.

## Input Required

The user must provide (or will be prompted for):

- **Query context**: The situation to recall learnings for — specified as one or more of the following dimensions: channel (email, social, paid search, SEO, content, SMS, etc.), audience segment (developers, marketers, executives, SMB owners, enterprise buyers, etc.), objective (awareness, conversion, retention, upsell, win-back, etc.), campaign type (product launch, seasonal, evergreen, nurture, event, etc.), or a freeform situation description that captures the scenario in natural language (e.g., "planning a Black Friday email campaign targeting lapsed customers" or "launching a new product to a developer audience via content marketing")
- **Confidence threshold (optional)**: Minimum confidence score to include — defaults to 0.3 (includes hypotheses and above). Set to 0.7+ for only validated insights, or 0.0 to see everything including early-stage observations