Analyze public signals to identify competitive threats and opportunities for a brand.
npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-compete
Please help me install this Agent Skill. Skill: afa-compete Source: https://github.com/afadtc/afa-dtc-skills/tree/main/afa-compete Command: npx skills add https://github.com/afadtc/afa-dtc-skills --skill afa-compete
Competitors' actions and market signals are noisy and fragmented. This Skill helps brands systematically collect, synthesize, and translate competitive intelligence into actionable strategies that drive growth.
Describe the current competitive landscape for a brand and generate a prioritized action plan.
High-intent search queries and answers about installing and using this skill.
Competitor analysis becomes actionable by synthesizing public signals like ads, traffic, and pricing into an ICE-prioritized action plan. This structured approach translates noisy market dynamics into ranked growth initiatives with clear next steps.
Benchmarking competitors across multiple markets involves loading core reference frameworks and running diagnostic flows across single or multi-market contexts. This process evaluates direct, indirect, and alternative competitors to map risk and opportunity systematically.
A deep teardown analyzes competitors across five dimensions: product and pricing, traffic, conversion, brand, and customer experience. It synthesizes fragmented public signals to identify specific threats and opportunities for your brand.
Monitoring competitor ad intelligence and pricing changes continuously surfaces shifts in market performance. This ongoing tracking mode alerts you to changes in ads, pricing, and content, ensuring your competitive intelligence remains current.
Identifying market gaps from competitive intelligence involves analyzing landscape scans and deep teardowns to find unaddressed areas. By comparing public signals against core frameworks, you can prioritize approaches with strong evidence.
This competitive intelligence approach works for indirect competitors by scanning the broader landscape to map risk and opportunity. It evaluates direct, indirect, and alternative competitors to deliver structured, actionable insights across multiple markets.
gooseworks-aiSynthesize competitor website, review, ad, and pricing data into structured battlecards.
Peter-Swain-IncGenerates sequenced action plans for founders using weighted scoring and ICE-Compound analysis.
pauljbernardGuide enterprise data strategy, governance, modeling, integration, and analytics architecture.
dinoudonAnalyze competitors and market data with SWOT and feature comparisons.
