Store sales performance month-on-month analysis tool. Support year-on-year analysis of store/shopping guide performance (current period vs. previous period), identify reasons for performance fluctuations, quantify attribution, and output diagnostic conclusions and improvement suggestions. Usage scenarios: 1. Overall store performance analysis (sales, number of orders, customer unit price, connection rate) 2. Personal performance analysis of shopping guides (ranking, performance ratio, capability radar chart) 3. Comparative analysis of multiple stores/multi-shopping guides 4. Attribution of performance fluctuations (order contribution v...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install retail-sales-performance-analysisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install retail-sales-performance-analysisβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/retail-sales-performance-analysis/π‘Extract and place the folder at the path above, then restart your agent.
What Store sales performance analysis can do for your AI workflow
Store sales performance directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Store sales performance analysis
Help me get started with Store sales performance analysis
Explains what Store sales performance analysis does, walks through the setup, and runs a quick demo based on your current project
Use Store sales performance analysis to store sales performance month-on-month analysis tool
Invokes Store sales performance analysis with the right parameters and returns the result directly in the conversation
What can I do with Store sales performance analysis in my data & analytics workflow?
Lists the top use cases for Store sales performance analysis, with example commands for each scenario
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Store sales performance analysis extends your AI assistant with the ability to store sales performance month-on-month analysis tool. Support year-on-year analysis of store/shopping guide performance (current period vs. previous period), identify reasons for performance fluctuations, quantify attribution, and output diagnostic conclusions and improvement suggestions. Usage scenarios: 1. Overall store performance analysis (sales, number of orders, customer unit price, connection rate) 2. Personal performance analysis of shopping guides (ranking, performance ratio, capability radar chart) 3. Comparative analysis of multiple stores/multi-shopping guides 4. Attribution of performance fluctuations (order contribution v... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Store sales performance analysis as its underlying capability.
Store sales performance analysis works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Store sales performance analysis once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Store sales performance analysis, copy the skill folder to `~/.claude/skills/retail-sales-performance-analysis/` for use across all your projects, or `.claude/skills/retail-sales-performance-analysis/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/retail-sales-performance-analysis` or just describe your goal and the AI will pick it up automatically.
Store sales performance analysis has 63 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/retail-sales-performance-analysis/ for personal use (all projects), or .claude/skills/retail-sales-performance-analysis/ for project-specific use. Restart your AI client, then invoke with /retail-sales-performance-analysis or let the AI discover it automatically.
Store sales performance analysis supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Store sales performance analysis is free to install. Check the repository for licensing information.
Store sales performance month-on-month analysis tool. Support year-on-year analysis of store/shopping guide performance (current period vs. previous period), identify reasons for performance fluctuations, quantify attribution, and output diagnostic conclusions and improvement suggestions. Usage scenarios: 1. Overall store performance analysis (sales, number of orders, customer unit price, connection rate) 2. Personal performance analysis of shopping guides (ranking, performance ratio, capability radar chart) 3. Comparative analysis of multiple stores/multi-shopping guides 4. Attribution of performance fluctuations (order contribution v...
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Identifies repetitive steps in your workflow and sets up Store sales performance analysis to handle them automatically
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