store-performance-analysis
Answer e-commerce store performance questions using Fivetran-synced Shopify connector data.
Skill by fivetran
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/fivetran-store-performance-analysis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 6
api.fivetran.com· found in codecloud.google.com· found in codecodeload.github.com· found in install commanddocs.databricks.com· found in codedocs.snowflake.com· found in codefivetran.com· found in code
Files it touches
~/.claude/skills/store-performance-analysis/Library/Keychains/System.keychain- Your home directory (~)
~/.databrickscfg~/.fivetran/auth-state
Tools it pre-approves 8
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
bash(bq,gcloud,snow,snowsql,databricks,open,python3,pip)
What's inside
- Skill name
store-performance-analysis- Description
- Answer e-commerce store performance questions using Fivetran-synced Shopify connector data. Computes GMV, net revenue, AOV, order count, repeat customer rate, refund rate, top products, BFCM and seasonality detection, new vs returning revenue, and customer cohorts — directly from raw Shopify tables (no dbt quickstart required). Use when someone asks about store performance, GMV, AOV, refunds, top sellers, repeat customers, cohorts, BFCM/Q4 performance, or any e-commerce metric. Trigger on: "how is the store doing", "store performance", "GMV", "revenue", "AOV", "average order value", "repeat rate", "refund rate", "top products", "best sellers", "customer cohorts", "new vs returning", "Black Friday", "BFCM", "Cyber Monday", "Q4 performance", "monthly orders", "seasonality".
- License
- NOASSERTION
- Allowed tools
- bash(bq,, gcloud,, snow,, snowsql,, databricks,, open,, python3,, pip)
- Metadata
- owner: Abdul Ghaffar <abdul.ghaffar@fivetran.com> · plugin: store-performance-analysis · short-description: E-commerce store performance analysis from raw Shopify connector data
- Instructions
- 517 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: 517 lines (spec recommends under 500)
Files (5)
- SKILL.md
- asa.py
- asa.sh
- readiness.json
- warehouse-discovery.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 24
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 15, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/fivetran/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
store-performance-analysis skill. Agent Mart. https://agentmart.dev/skills/fivetran-store-performance-analysis (last updated 2026-10-24)