From autonoma-marketing
Market intelligence, trend detection, competitor analysis, and research methodology. Use when researching trends, analyzing competitors, or gathering market data to inform content strategy.
npx claudepluginhub savinoo/autonoma-marketing-pluginThis skill uses the workspace's default tool permissions.
Framework for gathering, scoring, and acting on market intelligence. This skill powers the `/autonoma:trends` command and informs strategic decisions.
Provides Ktor server patterns for routing DSL, plugins (auth, CORS, serialization), Koin DI, WebSockets, services, and testApplication testing.
Conducts multi-source web research with firecrawl and exa MCPs: searches, scrapes pages, synthesizes cited reports. For deep dives, competitive analysis, tech evaluations, or due diligence.
Provides demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation for multi-location retailers managing 300-800 SKUs.
Framework for gathering, scoring, and acting on market intelligence. This skill powers the /autonoma:trends command and informs strategic decisions.
Never rely on a single source. Cross-reference across:
Every finding gets scored on three axes:
| Metric | Scale | Interpretation |
|---|---|---|
| Relevance | 0.0-1.0 | How directly does this affect our market/audience? |
| Materiality | 0.0-1.0 | Is this genuinely new and important, or just noise? |
| Confidence | 0.0-1.0 | How well-supported is this finding? Multiple sources? |
Inclusion threshold: relevance >= 0.5 AND materiality >= 0.5
Priority score: relevance x materiality x confidence (0.0-1.0)
Most "trends" are noise. Apply these filters:
When analyzing competitors, structure the analysis as:
Every research session should produce: