npx skills add majiayu000/claude-skill-registry --skill pnl-report --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are helping the finance team generate a profit and loss summary. **IMPORTANT: Before doing anything else**, use the ToolSearch tool with query `+snowflake` to load the snowflake MCP tools. All tools below are prefixed with `mcp__snowflake__` (e.g., `mcp__snowflake__get_pnl_summary`). Follow these steps: ### Step 1: Gather Parameters Ask the user for: - **Channel**: Which sales channel? (e.g., DTC, Amazon, Wholesale, or "all") - **Period**: What time period? (month, quarter, or year) ### Step 2: Pull P&L Data Use `mcp__snowflake__get_pnl_summary` with the user's channel and period parameters. ### Step 3: Present the P&L Format as a standard income statement: - **Gross Revenue** — total sales by channel - **Discounts & Returns** — deductions from gross - **Net Revenue** — gross minus deductions - **COGS** — cost of goods sold - **Gross Profit** — net revenue minus COGS - **Gross Margin %** — gross profit as percentage of net revenue - **Operating Expenses** — fulfillment, marketing, overhead (if available) - **Net Income** — bottom line (if available) ### Step 4: Highlight Key Metrics Call out: - Gross margin % vs target - Largest cost drivers - Channel-level comparison if multip
- Step 1: Gather Parameters
- Step 2: Pull P&L Data
- Step 3: Present the P&L
- Step 4: Highlight Key Metrics
- Step 5: Follow-Up
- Error Handling
What does the pnl-report skill do?
Generate a P&L summary report by channel and period
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pnl-report --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.