sales-analysis Skill
Turn the RAW weekly sales rows and catalog facts from the Sales & Performance MCP into merchandising analytics by running the bundled salesanalysis.py script. Use first in an end-of-quarter markdown review, when a manager wants top sellers and slow-moving / dead stock over a period. The MCP returns raw data only, so th Published by microsoft in new-copilot-studio-tech-guide.
Decision snapshot
Is this a fit?
Documentation, Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is sales-analysis Skill?
Turn the RAW weekly sales rows and catalog facts from the Sales & Performance MCP into merchandising analytics by running the bundled salesanalysis.py script. Use first in an end-of-quarter markdown review, when a manager wants top sellers and slow-moving / dead stock over a period. The MCP returns raw data only, so th Published by microsoft in new-copilot-studio-tech-guide. 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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Data analysis
- Documentation use cases
- Data analysis use cases
Declared skill metadata
- Source file: sample/archive/store-solution/skills/sales-analysis/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use sales-analysis Skill
- Use it for documentation.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/new-copilot-studio-tech-guide
- Skill file: sample/archive/store-solution/skills/sales-analysis/SKILL.md
What it does
Turn the RAW weekly sales rows and catalog facts from the Sales & Performance MCP into merchandising analytics by running the bundled salesanalysis.py script. Use first in an end-of-quarter markdown review, when a manager wants top sellers and slow-moving / dead stock over a period. The MCP returns raw data only, so th
Skill instructions
Sales Analysis (data, not charts) This skill converts raw sales data into the analytics a markdown review needs by running the bundled salesanalysis.py script. The Sales & Performance MCP deliberately exposes only raw primitives (querysales, getcatalog) - there is no getslowmovers or getvelocity - so the script derives the metrics itself. It renders no charts on purpose: the interactive merch-report-html skill owns all the visuals at the end, which keeps the review fast. This skill just computes the numbers and prints the structured hand-offs. When to use First in an end-of-quarter markdown review, whenever a manager wants to see top sellers and slow / dead stock over a window. Inputs (fetch from the Sales & Performance Agent, then pass as flags) 1. Raw weekly rows - querysales(startweek, endweek) for the window (default the full 8 weeks 2026-04-12 ... 2026-05-31). Each row is {sku, name, category, week, units, revenue}. 2. Catalog facts - getcatalog() - {sku, name, price, unitcost, st
Verified compatibility and discovery
Frequently asked questions
What is sales-analysis?
sales-analysis is a open-source AI agent skill with Copy skill directory. Turn the RAW weekly sales rows and catalog facts from the Sales & Performance MCP into merchandising analytics by running the bundled salesanalysis.py script.
Who is sales-analysis best for?
sales-analysis is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.
How do I install sales-analysis?
Install or run sales-analysis using Copy skill directory. Check sales-analysis for the latest setup command.
Is sales-analysis actively maintained?
sales-analysis may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
