Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate QR codes for NEAR addresses and payment requests, and read NEAR QR codes from images.
Generate QR codes for NEAR addresses and payment requests, and read NEAR QR codes from images.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Generate and read QR codes for NEAR Protocol addresses and payment requests.
Install the required Python dependencies: pip install -r requirements.txt
Generate a QR code containing a NEAR account address. Usage: python near_qr.py address <account_id> [--output <path>] [--size <pixels>] Parameters: account_id (required) β The NEAR account address (e.g. alice.near) --output β Output file path (default: <account_id>_qr.png) --size β QR image size in pixels (default: 400) Example: python near_qr.py address alice.near --output alice_qr.png --size 500
Generate a QR code for a NEAR payment request, encoding recipient, amount, and optional memo. Usage: python near_qr.py payment <to> <amount> [--memo <text>] [--output <path>] [--size <pixels>] Parameters: to (required) β Recipient NEAR account (e.g. bob.near) amount (required) β Amount of NEAR to request (e.g. 2.5) --memo β Optional memo or reference note --output β Output file path (default: payment_qr.png) --size β QR image size in pixels (default: 400) Example: python near_qr.py payment bob.near 5.0 --memo "Invoice #42" --output pay_bob.png
Decode a NEAR QR code from an image file and extract the embedded data. Usage: python near_qr.py read <image_path> Parameters: image_path (required) β Path to the QR code image Example: python near_qr.py read alice_qr.png Output: Returns a JSON object with the decoded type and data: { "type": "near_address", "account": "alice.near" } or for payment QR codes: { "type": "near_payment", "to": "bob.near", "amount": "5.0", "memo": "Invoice #42" }
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.