Content Strategy

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

AI 產生的概覽

把 PayPal、QuickBooks 或 Square 的銷售資料轉成排序過的 30 天內容簡報。

功能
分析已連接的付款與會計工具中的近期銷售紀錄,找出熱銷品、滯銷品與趨勢變化,再納入季節性因素。產出 200 至 400 字的 30 天簡報,說明要主推什麼、維持什麼、調整或暫停什麼,以及可考慮哪些優惠,同時產生供下游工具使用的結構化 JSON。輸出僅為策略內容,不含行事曆或創意素材。
適用情境
適用於小型企業主詢問這個月該發什麼內容、需要內容計畫、想知道什麼在賣,或想了解這個月該推廣什麼時。適合能透過連接器或匯出報表提供銷售資料的業主。
執行需求
需要透過 QuickBooks、PayPal 或 Square 連接器取得銷售資料,或上傳 CSV/Excel 匯出檔、貼上銷售清單。使用 QuickBooks 時需已填寫業務資料。連接器需要網路存取;此技能不含指令碼,只有參考文件。

Content Strategy

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 social-content-engine 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). Read the rows or monthlyBreakdown; the response's totalExpenses reports 0 against real rows, so never read the summary fields
  • 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.

No connectors at all? This still runs, and it is a supported path — not a degraded one. Ask the owner to export their sales history and upload it. Name the export by the label they will actually see in the app:

  • QuickBooks — Reports, then the "Sales by Product/Service Detail" report, set to the last 90 days, exported to Excel or CSV
  • PayPal — Activity, then Download, set to the last 90 days, "Completed transactions" as CSV
  • Square — Reports, then Item Sales, set to the last 90 days, exported as CSV

Any one of those carries product name, date, revenue, and usually quantity, which is everything Step 3 needs. A pasted list of what sold and roughly when also works — say plainly that the read is rougher, and run it.

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 social-content-engine for asset generation?"

Iterate if needed; once approved, return the final brief as structured JSON (ready for downstream tools).


More sources, and direct invocation

Read reference/v2_sources.md for the mapping:

  • Shopify — per-SKU velocity, variant performance, and product images that flow straight into asset generation downstream
  • Stripe — subscription and recurring revenue, where relevant

Direct invocation

If the owner asks for a sales brief, run this and return the brief. Don't route them anywhere.

Gotchas & edge cases

See reference/gotchas.md [blocked] for common pitfalls.


Examples

See reference/examples/ [blocked] for worked examples (SaaS, retail, services).


Output

Deliver the 30-day brief per the owner's stored output preference — never default to a markdown file. Check the ## Business context block's Output preference (shared style guide rule, ../../shared/artifact-style.md):

  • Visual artifact (the default): render the brief as an HTML page in the house style — what to promote as the lead, the why behind each pick with its numbers in tabular-nums, and the channel call per push. The structured JSON for downstream tools rides along unchanged; it is an input to other skills, not a second deliverable.
  • docx / md / notion / canva preference: deliver the same content in that form — a DOCX or markdown file, a Notion page created via the connector (named destination, never overwriting), or a Canva Doc created via the Canva connector (a new design each run, named with the date; tables become lists); fall back to the visual artifact if Notion or Canva is not connected — and say that is why.
  • Best for skill: use the visual artifact — this output is a decision page, not prose.

After the brief

The 30-day brief is approved and ready to act on. The natural next step is "make the content" — social-content-engine turns the brief into the standing calendar and the posts. Also nearby: "run this brief" (canva-creator) for a one-shot campaign build from this exact brief, and "is my marketing working" (growth-pulse) to check whether last month's push paid off. Offer at most three, and skip any offer the owner already declined this session.

Using a tool that isn't listed

The connectors named in this skill are the tested paths, not a wall. If the owner wants this flow to use a tool that isn't connected or listed, offer build-connector — it checks the connector directory first and connects through Zapier otherwise, never hand-building against a raw API. Once the connection exists, the tool joins this skill like any other optional connector, under the same approval gates.

來源與署名

來源:anthropics/knowledge-work-plugins位於small-business/skills/content-strategy提交ae1513e

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架

更多來自 anthropics/knowledge-work-plugins 的技能

Ticket Deflector

anthropics

精選

Reads a forwarded customer email or ticket, pulls order and refund status from a payments connector (PayPal, Square, or Stripe) or Shopify, account history from the CRM, and open tickets from a support desk (Zoho Desk), drafts a tone-matched reply in the owner's writing voice, and can issue a refund through the payments connector with explicit owner approval. With Shopify connected it also runs a proactive order-triage mode that surfaces orders needing attention — unfulfilled past the promised window, payment problems, pending refunds, stuck shipments — and drafts the next action for each before the customer has to ask. Use when the user says "draft a response," "answer this customer," "where's my order," "I want a refund," "check my orders," or "anything about to blow up."

待分類27K今天更新

Tax Season Organizer

anthropics

精選

Prepares tax-season materials for the owner's accountant, not tax advice. US federal tax; a non-US business gets its closed-books packet instead. Two modes: (1) quarterly estimated tax from YTD net income in the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books); (2) year-end 1099 prep, scanning the ledger, PayPal, and Stripe for contractors paid over USD 600 into a 1099-NEC list with missing W-9 flags. Any tax request routes first to /tax-prep, which confirms the books are closed and reconciled before running this skill. Use this skill directly only when the owner says the period's books are already closed: "books are closed, now do the 1099s," "run the quarterly estimate off the closed numbers," or "just the contractor W-9 list."

待分類27K今天更新

Tax Prep

anthropics

精選

根據已結帳的帳目準備稅務資料:季度預估繳稅明細,或年終 1099-NEC 清單與會計師資料包。

Business & Finance27K今天更新

Smb Onboard

anthropics

精選

引導小型企業主完成首次設定:連接工具、執行一次展現價值的配方、記錄業務背景並設定每週檢查節奏。

Productivity & Workflow27K今天更新

Smb Router

anthropics

精選

將小型企業主的需求轉接到合適的外掛技能或指令,並說明可用功能。

Productivity & Workflow27K今天更新

Month End Prep

anthropics

精選

Reconciles the accounting ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) against PayPal, Shopify, Square, and Stripe settlements, flags transactions that need attention, suspicious duplicates, and missing receipts, then writes a plain-English P&L narrative and exports a close packet (xlsx + one-page PDF). This is the first link of the /close-month command; a request to close the month or the books routes there, and the command runs this skill before refreshing the forecast and distributing the packet. Use this skill directly only when the owner wants the reconciliation alone, with no forecast refresh and no distribution: "just reconcile, no packet," "what's missing from the books," "flag the duplicates and missing receipts," or "write the P&L narrative for this month."

待分類27K今天更新