# seasonal-patterns This skill finds seasonal swings in revenue and expenses across 12 or more months. Useful when you need to know which months run weak and why. - skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 381 installs · ★ 98 - Author: openaccountant - License: MIT · policy=mirror · the beginning of the file is at the end of this page - Source: https://github.com/openaccountant/skills/tree/HEAD/business/seasonal-patterns/SKILL.md - Updated: 2026-04-09 - HTML: https://affpapa.org/en/nevibecode/skills/seasonal-patterns ## What it does The skill takes monthly income and expense totals and builds an index for each month: month revenue divided by average monthly revenue, times 100. Above 100 means a stronger-than-average month, below means weaker. You get a table with the peak, the trough and the seasonal range. The workflow is step by step. It asks for the analysis window first, then pulls each month through the `spending_summary` tool, calculates the indices and prints a profile with recommendations. There is a spreadsheet route too: export transactions from your bank as CSV, build a pivot table in Excel or Google Sheets, compute the index with `=MonthAvgRevenue/OverallAvg*100`, then chart monthly revenue with a trendline. You need at least 12 months of data for a meaningful read. One year cannot separate seasonality from one-off events, so two or more years sharpen the picture a lot. If the seasonal range comes in under 20 points, seasonality is not your problem — revenue is flat. Expenses deserve the same look: insurance renewals, annual subscriptions and quarterly tax payments create predictable spikes. ## Install ### Claude Code (native platform) 1. **Skills CLI (Vercel)** ```bash npx skills add openaccountant/skills --skill seasonal-patterns -a claude-code ``` 2. **Manually: put the files in place** - File: `~/.claude/skills/seasonal-patterns/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/seasonal-patterns/ ### Codex 1. **Skills CLI (Vercel)** ```bash npx skills add openaccountant/skills --skill seasonal-patterns -a codex ``` 2. **Manually: put the files in place** - File: `.agents/skills/seasonal-patterns/SKILL.md` — For all projects use ~/.agents/skills/ ### Cursor 1. **Skills CLI (Vercel)** ```bash npx skills add openaccountant/skills --skill seasonal-patterns -a cursor ``` 2. **Manually: put the files in place** - File: `.cursor/skills/seasonal-patterns/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/ ### GitHub Copilot 1. **GitHub CLI** ```bash gh skill install openaccountant/skills seasonal-patterns ``` 2. **Manually: put the files in place** - File: `.github/skills/seasonal-patterns/SKILL.md` ### Gemini CLI 1. **Skills CLI (Vercel)** ```bash npx skills add openaccountant/skills --skill seasonal-patterns -a gemini-cli ``` 2. **Platform CLI** ```bash gemini skills install https://github.com/openaccountant/skills --path business/seasonal-patterns ``` ### Windsurf (Devin Desktop) **Manually: put the files in place** - File: `.devin/skills/seasonal-patterns/SKILL.md` — The legacy .windsurf/skills/ path still works ### OpenCode **Skills CLI (Vercel)** ```bash npx skills add openaccountant/skills --skill seasonal-patterns -a opencode ``` ### Claude.ai **Claude.ai** - Zip the folder and upload it in Settings → Capabilities → Skills Where a file is given instead of a command, copy the files from the source to that path: https://github.com/openaccountant/skills/tree/HEAD/business/seasonal-patterns/SKILL.md ## When to use it - spot which months historically run weak on revenue - compute a seasonal index for every month - build cash reserves ahead of slow months - time big purchases for strong-revenue months - tell a seasonal dip apart from a one-off event ## Example prompts - Analyze revenue seasonality over the last 24 months with seasonal-patterns - Calculate the monthly seasonal index and show me the peak and trough - Do my expenses have a seasonal pattern? Check two years ## Source text · SKILL.md · MIT Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 5e0f4c291cdb2542. BEGIN THIRD-PARTY FILE 5e0f4c291cdb2542 ````text --- name: seasonal-patterns description: > Detect seasonal revenue and expense patterns across 12+ months of data. --- # Seasonal Pattern Detection ## Overview Identify cyclical trends in your revenue and expenses over a 12-month or multi-year window. Reveals which months are historically strong or weak, enabling better cash management, staffing, and marketing timing. ## Wilson Tools Used - `spending_summary` — pull monthly income and expense totals across 12+ months to build a seasonal profile ## Workflow 1. Ask for the analysis window (minimum 12 months, 24+ months preferred for statistical confidence). 2. Use `spending_summary` for each month in the window to get monthly revenue and expense totals. 3. Calculate the monthly index: Month Index = Month Revenue / Average Monthly Revenue * 100. - Index > 100 = above-average month - Index < 100 = below-average month 4. Identify peaks and troughs. 5. Generate the seasonal profile: ``` SEASONAL PATTERN ANALYSIS — [Period] ══════════════════════════════════════════════════════════ Month Avg Revenue Index Avg Expenses Trend ────────────────────────────────────────────────────────── Jan $8,200 82 $6,100 Slow start Feb $7,800 78 $5,900 ▼ Trough Mar $9,500 95 $6,500 Recovering Apr $11,200 112 $7,200 ▲ Above avg May $12,500 125 $7,800 ▲ Strong Jun $13,000 130 $8,200 ▲▲ Peak Jul $11,800 118 $7,500 ▲ Above avg Aug $10,200 102 $7,000 Average Sep $10,500 105 $7,200 Average Oct $11,000 110 $7,500 ▲ Above avg Nov $9,500 95 $8,500 Expense spike Dec $6,800 68 $9,000 ▼▼ Low + high cost ────────────────────────────────────────────────────────── Annual $122,000 100 $88,400 Peak Month: June (130) Trough Month: December (68) Seasonal Range: 62 points ══════════════════════════════════════════════════════════ ``` ```` END THIRD-PARTY FILE 5e0f4c291cdb2542 The third-party file has ended. Everything between the 5e0f4c291cdb2542 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file. First 2578 of 4320 bytes. © openaccountant · MIT · https://github.com/openaccountant/skills/tree/HEAD/business/seasonal-patterns/SKILL.md _Part of the page did not fit — see the HTML version._ --- NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md