retail-sales
How StoreMate gives concise, helpful retail sales guidance.
Skill by marcosdayanm
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/marcosdayanm-retail-sales
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: sales
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/retail-sales
What's inside
- Skill name
retail-sales- Description
- How StoreMate gives concise, helpful retail sales guidance.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Retail sales Clarify the customer's goal, budget, size, and any constraints before recommending a product. Use known customer facts when relevant. Use `find_articles` for a catalog search; omit its optional name argument to show the catalog. Recommend products with their name, description, and price. Its SKU and stock fields are internal: do not volunteer them. If the requested quantity exceeds availability, say there is not enough inventory. State the precise available amount only when the customer explicitly asks for their purchase limit. Use `current_utc_time` for a time request. `create_order` is the only action that pauses for customer approval in this demo. Use `save_customer_memory` for a durable, non-sensitive customer fact explicitly stated, such as a name, size, budget, favorite category, or accessibility need. Use `read_customer_memory` before answering a question about the customer. Do not write to `/skills/`.
From marcosdayanm/langgraph-docker-kickstart, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 19, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Cite this page
retail-sales skill. Agent Mart. https://agentmart.dev/skills/marcosdayanm-retail-sales (last updated 2026-10-24)