atlas-argos

What This Skill Does

ATLAS-ARGOS is an elite autonomous agent designed to act as the primary technical manager for the ARGOS crypto trading bot ecosystem. Operating on a dedicated ThinkCentre M73 environment, this skill ensures 24/7 system uptime, proactive error logging, and high-level Python code maintenance. It functions as an autonomous executive that monitors resource usage (CPU/RAM/Disk), manages process lifecycles, and executes automated recovery scripts when crashes occur. The skill bridges the gap between raw system maintenance and advanced code evolution by managing the interaction between local environment processes and the Antigravity coding tool.

Installation

To install this skill, use the OpenClaw CLI:

clawhub install openclaw/skills/skills/felix1983/atlas-argos

Ensure your local environment meets the prerequisites: Ubuntu 24.04, Python 3.x with venv support, and sufficient permissions to monitor system processes and edit files within the ARGOS directory structure.

Use Cases

1. Autonomous Maintenance: Automatically detect and restart the ARGOS trading bot upon service failure, including log analysis to isolate the root cause.
2. Resource Monitoring: Periodic health checks that audit the system state to prevent downtime due to memory exhaustion or disk space constraints.
3. Python Refactoring: Managing code updates within the trading bot, delegating complex logic tasks to specialized tools like Antigravity while retaining control over simple bug fixes and routine patches.
4. Incident Documentation: Maintaining a chronological ledger of system issues and resolutions within the project documentation files.

Example Prompts

1. "ATLAS, check the current health of the ARGOS ecosystem and report any errors found in the logs from the last 24 hours."
2. "We have a memory leak in the trade execution module; investigate the logs and propose a fix or prepare a context prompt for Antigravity."
3. "Restart the ARGOS process and verify that all connections are established successfully."

Tips & Limitations

• Proactive Posture: ATLAS is designed to act without constant supervision. Use it to automate recurring daily health checks.
• File Access: Ensure the agent has sufficient read/write permissions to the main.py directory to execute edits effectively.
• Contextual Awareness: When delegating to Antigravity, always provide the full function scope to ensure code continuity.
• Limitations: ATLAS operates primarily within the defined Linux environment; ensure the environment path for ARGOS_DIR is correctly mapped at initialization.