Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill transforms chaotic folders of invoices, receipts, and financial documents into a clean, tax-ready filing system without manual effort.
Reads Invoice Content: Extracts information from PDFs, images, and documents:
Renames Files Consistently: Creates standardized filenames:
YYYY-MM-DD Vendor - Invoice - ProductOrService.pdf2024-03-15 Adobe - Invoice - Creative Cloud.pdfOrganizes by Category: Sorts into logical folders:
Handles Multiple Formats: Works with:
Maintains Originals: Preserves original files while organizing copies
Navigate to your messy invoice folder:
cd ~/Desktop/receipts-to-sort
Then ask Claude Code:
Organize these invoices for taxes
Or more specifically:
Read all invoices in this folder, rename them to
"YYYY-MM-DD Vendor - Invoice - Product.pdf" format,
and organize them by vendor
Organize these invoices:
1. Extract date, vendor, and description from each file
2. Rename to standard format
3. Sort into folders by expense category (Software, Office, Travel, etc.)
4. Create a CSV spreadsheet with all invoice details for my accountant
When a user requests invoice organization:
Scan the Folder
Identify all invoice files:
# Find all invoice-related files
find . -type f \( -name "*.pdf" -o -name "*.jpg" -o -name "*.png" \) -print
Report findings:
Extract Information from Each File
For each invoice, extract:
From PDF invoices:
From image receipts:
Fallback for unclear files:
Determine Organization Strategy
Ask user preference if not specified:
I found [X] invoices from [date range].
How would you like them organized?
1. **By Vendor** (Adobe/, Amazon/, Stripe/, etc.)
2. **By Category** (Software/, Office Supplies/, Travel/, etc.)
3. **By Date** (2024/Q1/, 2024/Q2/, etc.)
4. **By Tax Category** (Deductible/, Personal/, etc.)
5. **Custom** (describe your structure)
Or I can use a default structure: Year/Category/Vendor
Create Standardized Filename
For each invoice, create a filename following this pattern:
YYYY-MM-DD Vendor - Invoice - Description.ext
Examples:
2024-03-15 Adobe - Invoice - Creative Cloud.pdf2024-01-10 Amazon - Receipt - Office Supplies.pdf2023-12-01 Stripe - Invoice - Monthly Payment Processing.pdfFilename Best Practices:
Execute Organization
Before moving files, show the plan:
# Organization Plan
## Proposed Structure
Invoices/ ├── 2023/ │ ├── Software/ │ │ ├── Adobe/ │ │ └── Microsoft/ │ ├── Services/ │ └── Office/ └── 2024/ ├── Software/ ├── Services/ └── Office/
## Sample Changes
Before: `invoice_adobe_march.pdf`
After: `2024-03-15 Adobe - Invoice - Creative Cloud.pdf`
Location: `Invoices/2024/Software/Adobe/`
Before: `IMG_2847.jpg`
After: `2024-02-10 Staples - Receipt - Office Supplies.jpg`
Location: `Invoices/2024/Office/Staples/`
Process [X] files? (yes/no)
After approval:
# Create folder structure
mkdir -p "Invoices/2024/Software/Adobe"
# Copy (don't move) to preserve originals
cp "original.pdf" "Invoices/2024/Software/Adobe/2024-03-15 Adobe - Invoice - Creative Cloud.pdf"
# Or move if user prefers
mv "original.pdf" "new/path/standardized-name.pdf"
Generate Summary Report
Create a CSV file with all invoice details:
Date,Vendor,Invoice Number,Description,Amount,Category,File Path
2024-03-15,Adobe,INV-12345,Creative Cloud,52.99,Software,Invoices/2024/Software/Adobe/2024-03-15 Adobe - Invoice - Creative Cloud.pdf
2024-03-10,Amazon,123-4567890-1234567,Office Supplies,127.45,Office,Invoices/2024/Office/Amazon/2024-03-10 Amazon - Receipt - Office Supplies.pdf
...
This CSV is useful for:
Provide Completion Summary
# Organization Complete! 📊
## Summary
- **Processed**: [X] invoices
- **Date range**: [earliest] to [latest]
- **Total amount**: $[sum] (if amounts extracted)
- **Vendors**: [Y] unique vendors
## New Structure
Invoices/ ├── 2024/ (45 files) │ ├── Software/ (23 files) │ ├── Services/ (12 files) │ └── Office/ (10 files) └── 2023/ (12 files)
## Files Created
- `/Invoices/` - Organized invoices
- `/Invoices/invoice-summary.csv` - Spreadsheet for accounting
- `/Invoices/originals/` - Original files (if copied)
## Files Needing Review
[List any files where information couldn't be extracted completely]
## Next Steps
1. Review the `invoice-summary.csv` file
2. Check files in "Needs Review" folder
3. Import CSV into your accounting software
4. Set up auto-organization for future invoices
Ready for tax season! 🎉
User: "I have a messy folder of invoices for taxes. Sort them and rename properly."
Process:
YYYY-MM-DD Vendor - Invoice - Product.pdf2024/Software/, 2024/Travel/, etc.invoice-summary.csv for accountantUser: "Organize my business receipts from last month by category."
Output:
# March 2024 Receipts Organized
## By Category
- Software & Tools: $847.32 (12 invoices)
- Office Supplies: $234.18 (8 receipts)
- Travel & Meals: $1,456.90 (15 receipts)
- Professional Services: $2,500.00 (3 invoices)
Total: $5,038.40
All receipts renamed and filed in:
`Business-Receipts/2024/03-March/[Category]/`
CSV export: `march-2024-expenses.csv`
User: "I have 3 years of random invoices. Organize them by year, then by vendor."
Output: Creates structure:
Invoices/
├── 2022/
│ ├── Adobe/
│ ├── Amazon/
│ └── ...
├── 2023/
│ ├── Adobe/
│ ├── Amazon/
│ └── ...
└── 2024/
├── Adobe/
├── Amazon/
└── ...
Each file properly renamed with date and description.
User: "I download invoices from Gmail. They're all named 'invoice.pdf', 'invoice(1).pdf', etc. Fix this mess."
Output:
Found 89 files all named "invoice*.pdf"
Reading each file to extract real information...
Renamed examples:
- invoice.pdf → 2024-03-15 Shopify - Invoice - Monthly Subscription.pdf
- invoice(1).pdf → 2024-03-14 Google - Invoice - Workspace.pdf
- invoice(2).pdf → 2024-03-10 Netlify - Invoice - Pro Plan.pdf
All files renamed and organized by vendor.
Invoices/
├── Adobe/
├── Amazon/
├── Google/
└── Microsoft/
Invoices/
├── 2023/
│ ├── Software/
│ ├── Hardware/
│ ├── Services/
│ └── Travel/
└── 2024/
└── ...
Invoices/
├── 2024/
│ ├── Q1/
│ │ ├── Software/
│ │ ├── Office/
│ │ └── Travel/
│ └── Q2/
│ └── ...
Invoices/
├── Deductible/
│ ├── Software/
│ ├── Office/
│ └── Professional-Services/
├── Partially-Deductible/
│ └── Meals-Travel/
└── Personal/
For ongoing organization:
Create a script that watches my ~/Downloads/invoices folder
and auto-organizes any new invoice files using our standard
naming and folder structure.
This creates a persistent solution that organizes invoices as they arrive.
If date/vendor can't be extracted:
If same invoice appears multiple times:
For invoices split across files:
For unusual receipt formats:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。