content-strategy
Phân tích dữ liệu bán hàng từ PayPal và QuickBooks để tìm ra sản phẩm bán chạy nhất và sản phẩm chậm, kết hợp yếu tố mùa vụ, và tạo ra bản tóm tắt nội dung ưu tiên trong 30 ngày:…
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill content-strategyContent Strategy
Status: MVP draft Owner: JJ Version: 0.2.0 · Phase MVP Category: Marketing & Sales
Quick start
When an SMB owner asks "what should I post this month?" or "what's my content plan?", this skill:
- Pulls sales data from QuickBooks or PayPal (transaction history, product/service revenue by date)
- Identifies patterns — top-selling products, slow movers, seasonal trends
- Layers in context — seasonality (user-provided or industry benchmarks), past performance
- Produces a 30-day brief — ranked recommendations of what to push, what to hold, what offers to consider
- Gets owner approval before the brief feeds into
canva-creatorfor asset generation
The output is strategic only — no calendar scheduling, no creative assets.
Workflow
Step 1: Pre-flight check (QuickBooks only)
If using QuickBooks, verify the business profile is set up:
- Call
company-infoto check ifIndustryis populated - If missing or "Unknown":
- Ask: "I need your business category to pull the right seasonality benchmarks. What industry are you in?" (e.g., retail, services, SaaS)
- Call
quickbooks-profile-info-updatewith the user's industry - Confirm: "Profile updated. Ready to pull your sales data."
- If profile is set, proceed to Step 2
Note: PayPal and Square do not require profile setup.
Step 2: Clarify priorities & metrics
When triggered, ask the user:
-
"How do you want me to measure 'top performers'?"
- By total revenue?
- By profit margin?
- By sales velocity (how fast they're selling)?
- Combination of the above?
-
"Do you have seasonality patterns in mind?"
- If yes: "Tell me about them" (capture user's known seasonality)
- If no: "I'll use industry benchmarks for your category"
Step 3: Pull and analyze sales data
Fetch data from the authenticated connector (QuickBooks, PayPal, or Square, user's choice):
- Date range: Last 90 days (or full history if <90 days available)
- Extract: Product/service name, date sold, revenue, quantity
Connector-specific notes:
- QuickBooks: Fetch invoice line items via
profit-loss-quickbooks-account(pre-flight sets industry context) - PayPal: Fetch merchant transactions via
list_transactions. Rate-limiting: If you hit rate limits, pause 30 seconds and retry once. If still blocked, gracefully offer: "PayPal is rate-limited. Would you like to switch to QuickBooks or Square instead, or I can continue with historical data I already pulled?" - Square: Requires location ID first. Call
make_api_request(service="locations", method="list")to discover available locations, then fetch orders for each location. Future enhancement: Square integration is stubbed; full path documented inreference/square-integration.md.
Fallback: If <3 months of data, use industry seasonality benchmarks for the SMB's category (e.g., retail, services, e-commerce)
Identify:
- Top 3–5 performers (by user's chosen metric)
- Bottom 3–5 slow movers (consider holding or repositioning)
- Trending up (gaining momentum in last 30 days)
- Trending down (losing momentum)
Step 4: Layer in seasonality
- User-provided: If they shared seasonal patterns, weight recommendations against them
- Industry benchmarks: For categories without strong user data (e.g., "Q1 is strong for tax services")
- Timing: Flag products that should ramp up/down in the next 30 days based on seasonal patterns
Step 5: Build the 30-day brief
Structure:
- Executive summary (1–2 sentences: "Your best sellers are X and Y. Seasonal shift to Z is starting.")
- Push hard (Top 2–3 products + recommended content angle, e.g., "Case study on ROI", "How-to video")
- Hold steady (Middle performers; maintain visibility but no heavy lift)
- Reposition or pause (Slow movers; consider discounting, bundling, or pausing)
- Seasonal opportunities (What's coming next month that you should position for now)
- Recommended offers (Bundle, discount, or free-trial strategy based on data)
Example length: 200–400 words (brief and actionable, not essay-length).
Step 6: Owner approval & iteration
Present the brief to the owner. Ask:
- "Does this match your gut?"
- "Anything to adjust?"
- "Ready to feed this to canva-creator for asset generation?"
Iterate if needed; once approved, return the final brief as structured JSON (ready for downstream tools).
Gotchas & edge cases
See reference/gotchas.md for common pitfalls.
Examples
See reference/examples/ for worked examples (SaaS, retail, services).