Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Recite
AI-powered receipt scanning that renames files by date/vendor, extracts transaction details, and logs them in a dynamic bookkeeping CSV.
skill openclawclawhub Free
AI-powered receipt scanning that renames files by date/vendor, extracts transaction details, and logs them in a dynamic bookkeeping CSV.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, long_term_memory.md, process_receipts.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- rivradev
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Recite π¦π€΅
AI-driven receipt bookkeeping via the Recite Vision API. Use recite-process to scan a directory of receipts and PDF files, rename them based on extracted data, and log transactions to a CSV file.
1. API Key
You can generate your Recite API key at: https://recite.rivra.dev/settings/api. Set the API key in your environment or configuration file: Environment: export RECITE_API_KEY="re_live_YOUR_API_KEY" Config: Create ~/.config/recite/config.json with {"api_key": "re_live_..."}.
2. Dependencies
Ensure you have python3, requests, and csv installed.
1. Mandatory API Key Pre-check
Before performing any scanning, file manipulation, or bookkeeping tasks, the agent MUST verify if a valid Recite API key is available (via RECITE_API_KEY environment variable or ~/.config/recite/config.json). If missing: Immediately stop all other operations and instruct the user to obtain an API key from https://recite.rivra.dev/settings/api and provide it. Do not attempt to list files or proceed with any part of the workflow until the key is confirmed.
3. Schema-Aware Bookkeeping
The agent is designed to handle API response changes gracefully: Dynamic Schema Evolution: If the Recite API adds new information (new JSON fields), the agent will automatically add corresponding columns to your bookkeeping_transactions.CSV without losing existing data. Data Integrity Protection: If a field that was previously present in the CSV is missing from the current API response, the agent will skip saving that specific entry and warn the user, preventing data corruption or "shifted" columns.
Workflow & Features
Scan Folder: The agent scans the specified folder for images (.jpg, .jpeg, .png) and .pdf files. AI Extraction: Calls the Recite API to extract date, vendor, total, currency, and category. Smart Renaming: Renames the file to [date]_[vendor].[ext] (e.g., 2024-05-20_Starbucks.jpg). Bookkeeping Log: Appends the extracted data (Date, Vendor, Total, Currency, Category, Subtotal, Tax, Tip, Fees, Discounts, Description, Payment Method, Confidence, etc.) and filenames to bookkeeping_transactions.CSV in the target folder. Status Report: Provides a summary of processed files and the CSV location.
Long-Term Memory & Custom Logic
Modify skills/recite/long_term_memory.md to add persistent instructions for the agent. The agent will always read this file before processing. Examples: "After processing, move all files to a sub-folder named processed/." "Alert me if any single receipt is over $500." "Always categorize 'Amazon' as 'Software Services'."
Tool Usage
Command: python3 skills/recite/process_receipts.py <target_directory> skills/recite/ Arguments: <target_directory>: The folder containing your receipts. skills/recite/: The path to the skill folder (used to locate long_term_memory.md).
Strategic Moat
Agent-First Consistency: Guaranteed structured JSON output for financial data. Tax-Ready Logic: Intelligent categorization based on standard business practices. Seamless Integration: Built for the AI Agent economy (OpenClaw, Claude Code).
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- long_term_memory.md
- README.md
- process_receipts.py