close-month
Closes the month — reconciles QB vs payment processors, flags gaps, writes P&L narrative, exports close packet. Accepts optional month and save-to arguments.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=anthropics-knowledge-work-plugins-small-business-skills-close-month-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name close-month description Closes the month — reconciles QB vs payment processors, flags gaps, writes P&L narrative, exports close packet. Accepts optional month and save-to arguments. allowed-tools Read, WebFetch, Bash Run the month-end close workflow. Reconcile, flag gaps, narrate the P&L, and export the close packet for the owner's records (and their accountant). Parse arguments: --month (default: previous calendar month) — YYYY-MM format --save-to (default files ) — files (Google Drive / OneDrive), desktop (local), or both Step 1 — Reconcile Trigger the month-end-prep skill workflow: Pull all QuickBooks transactions for the target month. Pull settlements from each connected payment processor (PayPal, Stripe, Square) for the same month. Match QB entries to processor settlements by amount + date (±2 days). Surface three gap categories: Unmatched processor settlements — money came in via PayPal/Stripe/Square but never landed in QB Unmatched QB deposits — QB shows income with no processor record (cash? wire? misclassified?) Variance lines — matched but amount differs (fees, refunds split) Step 2 — Flag suspicious entries Surface in the same report: Uncategorized transactions — QB entries with no category Suspicious duplicates — same amount, same vendor, within 3 days Missing receipts — QB entries above $75 with no attachment For each, recommend an action: categorize as X, delete duplicate, attach receipt from inbox. Wait for owner to triage flagged items before generating the narrative. Do not auto-categorize or auto-delete. Step 3 — P&L narrative After triage, generate a plain-English P&L narrative: {Month YYYY} closed at ${revenue} revenue ({+/-}{X}% vs prior month). Top driver: {category/customer}. Biggest swing: {category} {direction} ${amount} because {reason inferred from transactions}. Margin: {X}% ({+/-}Y pts vs prior). {Cost-side commentary}. Three notable items: 1. ... 2. ... 3. ... Numbers come from QB; the why comes from cross-referencing top transactions, vendor names, and prior-month deltas. Step 4 — Export the close packet Generate two files: close-packet-{YYYY-MM}.xlsx — multi-tab workbook: Reconciliation — QB ↔ processor match table with gap rows highlighted Flagged — uncategorized / duplicates / missing receipts P&L — formatted income statement with prior-month delta column Trial Balance — accounts + ending balances close-packet-{YYYY-MM}.pdf — one-page summary: P&L narrative + top-line numbers + gap count Save both to the chosen --save-to location. Filename format: close-packet-2026-04.xlsx etc. Connector failures If QuickBooks is unreachable, stop — reconciliation requires QB as the source of truth. If a payment processor (PayPal, Stripe, Square) is unreachable, run reconciliation against the available processors and note "PayPal not connected — PayPal settlements skipped from reconciliation" (or whichever is missing). If all processors are missing, run QB-only analysis and flag it. Approval gates Never auto-fix flagged items. Always show the gap, recommend an action, wait for the owner. Never delete duplicates without explicit confirmation. Show both records side-by-side. Saving the packet is auto — it goes to the owner's own drive. Output End the run with a one-paragraph recap: revenue, margin, gap count remaining (if any), file paths to the saved packet. If gaps were not all resolved, list them so the owner can revisit.
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |