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competitive-intel

Aggregate cross-channel competitive signals into scores, gaps, alerts, and briefings.

1|Updated Mar 19, 2026
Search Tags:#data-analytics#market-analysis#competitive-intelligence#share-of-voice#keyword-gap#ad-creative
One-click install
npx skills add https://github.com/weisberg/agile_agentic_analytics --skill competitive-intel-weisberg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitive-intel
Source: https://github.com/weisberg/agile_agentic_analytics/tree/main/plugins/marketing-analytics/skills/competitive-intel
Command: npx skills add https://github.com/weisberg/agile_agentic_analytics --skill competitive-intel-weisberg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scipy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Aggregate and synthesize cross-channel competitive signals (SEO, paid media, social benchmarks, and earned media) to deliver data-driven insights, identify gaps, and support strategic decision-making.

Core Features & Use Cases

  • Multi-channel competitive intelligence: keyword gaps, share-of-voice, ad creative monitoring, pricing intelligence, and strategic synthesis.
  • Automated alerting and briefing: detect shifts in competitor activity and generate executive-ready briefings with data-backed recommendations.
  • Trajectory and vulnerability analysis: assess competitor momentum and highlight areas to defend or attack.

Quick Start

Ingest data from seo-content, social-analytics, and paid-media sources, run the competitive intel pipeline, and generate alerts plus a briefing.

Frequently Asked Questions about competitive-intel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify keyword gaps and share of voice across competitors?▼

Aggregate SEO, paid media, and social data to calculate share of voice and identify keyword gaps. This produces a composite competitive landscape with per-competitor scores, trajectory analysis, and data-backed strategic recommendations.

What is competitive intelligence synthesis for cross-channel market signals?▼

Competitive intelligence synthesis aggregates cross-channel signals across SEO, paid media, social, and earned media to deliver data-driven insights, identify strategic gaps, and support executive decision-making.

Can I generate an executive briefing from competitor ad creative and paid media data?▼

Yes, ingest paid media and ad creative data to detect shifts in competitor activity. The pipeline produces automated alerts and an executive-ready briefing containing data-backed strategic recommendations.

Does the competitive intelligence pipeline work with missing third-party datasets?▼

Yes, the pipeline gracefully degrades when third-party sources are missing. It ensures competitive landscape outputs still include available per-competitor scores, provenance, and vulnerability analysis.

Do I need pandas and numpy to analyze competitor momentum and vulnerability?▼

Yes, the pipeline requires pandas, numpy, and scipy to process cross-channel competitor datasets, quantify strategic signals, and assess competitor momentum and vulnerability.

When should I use automated competitive alerting instead of manual market analysis?▼

Use automated competitive alerting when you need to monitor shifts in competitor activity across multiple channels continuously, detecting trajectory changes and vulnerabilities faster than manual market analysis.

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