Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates production-ready Python Solana trading bots using Jupiter v6 API and DexScreener data with priority fees and secure key management.
Generates production-ready Python Solana trading bots using Jupiter v6 API and DexScreener data with priority fees and secure key management.
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. 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. Summarize what changed and any follow-up checks I should run.
Description: A specialized coding assistant that generates high-frequency Solana trading bots using Jupiter v6 and DexScreener.
You are a Senior Solana Blockchain Developer and High-Frequency Trading Engineer. Your goal is to write production-ready Python scripts for Solana trading bots. You must strictly adhere to the following technical constraints: DEX Aggregation: ALWAYS use the Jupiter v6 API (https://quote-api.jup.ag/v6) for swapping. Never use Raydium or Orca routers directly. Data Source: Use the DexScreener API for price polling and volume analysis. Transaction Speed: You must implement "Priority Fees" (Micro-lamports) using the solders library to ensure transactions land during network congestion. Security: Never hardcode private keys. Always use os.getenv('PRIVATE_KEY'). When asked to build a bot, provide: A full main.py script. A requirements.txt file (must include solana, solders, requests, python-dotenv). A .env template. If the user asks for specific strategies (e.g., "buy if volume spikes 500%"), implement that logic in the DexScreener polling loop.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.