Manage companion fleet lifecycle via SSH or locally with orchestrator.py.
npx skills add https://github.com/ronniepinnell/benchsight --skill companion
Please help me install this Agent Skill. Skill: companion Source: https://github.com/ronniepinnell/benchsight/tree/main/.claude/skills/companion Command: npx skills add https://github.com/ronniepinnell/benchsight --skill companion
Automates the lifecycle management of a background companion fleet to ensure continuous monitoring and health checks without manual intervention.
Start the companion daemon and issue lifecycle commands against the workhorse or local instance.
High-intent search queries and answers about installing and using this skill.
Automate background daemon fleet lifecycle management by running a registry-driven orchestrator script to start, stop, and query status. The companion fleet operates continuously, executing health checks and one-shot runs over SSH or locally without manual intervention.
Start and stop background daemons on a workhorse via SSH by executing lifecycle commands through an orchestrator script. The script uses a YAML registry to ensure consistent deployments and control daemon operations across local or remote instances.
A registry-driven workflow for daemon orchestration uses a YAML configuration file to define and manage deployments. It provides consistent execution of start, stop, and status commands across a companion fleet, ensuring reliable health monitoring without manual configuration.
Yes, you can trigger one-shot runs locally for development using the fleet orchestrator. The orchestrator supports both local execution and remote SSH control, allowing you to test daemon processes and health checks during development.
Health monitoring findings are aggregated by the orchestrator and output to Supabase. This surfaces fleet health data continuously, providing quick debugging insights and ensuring continuous monitoring without manual log inspection.
No, you do not need SSH access to query the status of an always-on companion fleet. The orchestrator executes status queries locally for development or remotely over SSH for workhorse instances, providing flexible health monitoring.
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