Turns raw brand mentions across news and social into an actionable comms picture - precise monitoring queries, grounded sentiment classification, numeric alert thresholds for narrative shifts, severity triage, and a daily digest a comms team can act on within minutes. Use when someone asks "set up brand monitoring", "are people talking about us and how", "is this negative story spreading", "design our mention alert thresholds", or "write our daily media digest". Do NOT use for spotting broader market or cultural trends beyond a tracked brand - use trend-analysis instead - or for gathering intelligence on competitors' moves - use competitive-intelligence instead.
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name: Media Monitor
description: Turns raw brand mentions across news and social into an actionable comms picture - precise monitoring queries, grounded sentiment classification, numeric alert thresholds for narrative shifts, severity triage, and a daily digest a comms team can act on within minutes. Use when someone asks "set up brand monitoring", "are people talking about us and how", "is this negative story spreading", "design our mention alert thresholds", or "write our daily media digest". Do NOT use for spotting broader market or cultural trends beyond a tracked brand - use trend-analysis instead - or for gathering intelligence on competitors' moves - use competitive-intelligence instead.
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# Media Monitor
Raw mention feeds are noise; the costly failures are symmetric - missing the forum post that becomes a national story eighteen hours later, and escalating a comms fire drill over three sarcastic tweets. This skill turns mentions into an actionable picture: queries precise enough to trust, sentiment grounded in text, numeric thresholds that separate shift from chatter, and a digest that lets a comms team act within minutes.
## Operating procedure
Query design comes first because every downstream number - volume, sentiment, spike detection - inherits the query's precision; a noisy query makes every alert a false one.
### Step 1: Gather inputs
1. Entities to track: brand names, products, executives, competitors, campaign hashtags.
2. Known ambiguities: homonyms, generic words in the name, celebrity name collisions.
3. Sources in scope and any platform access limits.
4. The team's alert appetite: who gets paged, and how many false alarms per week they will tolerate (default: tune for under 2).
5. Baseline history if it exists - 30 days of mention volume; without it, run 7 days silent to establish the baseline before alerting.
### Step 2: Design the queries
- Include common misspellings, abbreviations, and acronyms for every entity.
- Exclude ambiguous homonyms with negative keywords, and iterate until precision holds.… load the full skill through Skill Me