sales-brief Skill
Surfaces top and bottom sellers, identifies seasonality patterns, and produces a 2-week content brief to push winners and clear slow movers. Accepts optional lookback window of 30, 60, or 90 days. Published by anthropics in knowledge-work-plugins.
What is sales-brief Skill?
Surfaces top and bottom sellers, identifies seasonality patterns, and produces a 2-week content brief to push winners and clear slow movers. Accepts optional lookback window of 30, 60, or 90 days. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use sales-brief Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/knowledge-work-plugins
- Skill file: small-business/skills/sales-brief/SKILL.md
What it does
Surfaces top and bottom sellers, identifies seasonality patterns, and produces a 2-week content brief to push winners and clear slow movers. Accepts optional lookback window of 30, 60, or 90 days.
Skill instructions
Run the sales analysis and content brief. Pull what sold (and what didn't), explain why, and produce a ready-to-use content plan that acts on the data. Parse arguments: - --lookback (default: 30d) — 30d, 60d, or 90d lookback window Step 1 — Sales breakdown Using the content-strategy skill workflow for sales analysis: 1. Pull PayPal transactions for the lookback period grouped by item/service/SKU. 2. Pull QuickBooks revenue by product/service category. 3. Rank products by: total revenue, unit volume, and margin (if available in QB). 4. Calculate each product's share of total revenue vs. prior equivalent period. Top sellers: products that grew share or maintained top-3 rank. Bottom sellers: products with declining volume or below 5% of revenue. Step 2 — Seasonality check 1. Compare current period to same period in prior year (if QB history available). 2. Flag any items with a seasonal pattern (e.g., spikes in Q4, slow summers). 3. Note any new products with insufficient history to detect
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Frequently asked questions
What is sales-brief?
sales-brief is a open-source AI agent skill with Copy skill directory. Surfaces top and bottom sellers, identifies seasonality patterns, and produces a 2-week content brief to push winners and clear slow movers. Accepts optional lookback window of 30, 60, or 90 days.
Who is sales-brief best for?
sales-brief is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install sales-brief?
Install or run sales-brief using Copy skill directory. Check sales-brief for the latest setup command.
Is sales-brief actively maintained?
sales-brief may need a closer maintenance check before production use.
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