content-strategy
$
npx mdskill add anthropics/knowledge-work-plugins/content-strategyGenerate prioritized 30-day content plans from sales data.
- Helps SMB owners decide what to post and which offers to run.
- Integrates with QuickBooks and PayPal for transaction history.
- Analyzes revenue patterns, seasonal trends, and product performance.
- Delivers ranked briefs on what to push, hold, or create offers.
SKILL.md
.github/skills/content-strategyView on GitHub ↗
--- name: content-strategy description: > Analyzes sales data from PayPal and QuickBooks to find top performers and slow movers, layers in seasonality, and produces a prioritized 30-day content brief: what to push, what offers to run, what to hold. Strategic output only — no calendars or assets. Use when the user asks what to post, wants a content plan, asks what's selling, or what to promote this month. --- # Content 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: 1. **Pulls sales data** from QuickBooks or PayPal (transaction history, product/service revenue by date) 2. **Identifies patterns** — top-selling products, slow movers, seasonal trends 3. **Layers in context** — seasonality (user-provided or industry benchmarks), past performance 4. **Produces a 30-day brief** — ranked recommendations of what to push, what to hold, what offers to consider 5. **Gets owner approval** before the brief feeds into `canva-creator` for 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: 1. Call `company-info` to check if `Industry` is populated 2. 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-update` with the user's industry - Confirm: "Profile updated. Ready to pull your sales data." 3. 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 in `reference/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`](reference/gotchas.md) for common pitfalls. --- ## Examples See [`reference/examples/`](reference/examples/) for worked examples (SaaS, retail, services).
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