Launch ikigai headlessly and control it via ikigai-ctl commands and framebuffer reads.
npx skills add https://github.com/mgreenly/ikigai --skill headless-mgreenly
Please help me install this Agent Skill. Skill: headless Source: https://github.com/mgreenly/ikigai/tree/main/.claude/library/headless Command: npx skills add https://github.com/mgreenly/ikigai --skill headless-mgreenly
Driving interactive ikigai sessions from an agent without a live terminal, enabling automated testing and remote control.
Start the ikigai headless session and connect your agent to drive and observe the UI.
High-intent search queries and answers about installing and using this skill.
You can control a headless CLI instance by launching ikigai in the background without a TTY and using ikigai-ctl to send keystrokes and read the framebuffer programmatically.
Automating LLM response observation without a live terminal is possible by implementing a deterministic loop that reads the framebuffer and checks for idle states to drive conversations in automation.
Driving interactive ikigai sessions for automated testing is best achieved using a minimal CLI workflow that exposes controlled headless operations, enabling remote interaction without a live terminal.
Using headless framebuffer inspection requires a local ikigai binary, as the Skill depends on this local executable to launch the instance and expose the CLI workflow for controlled operations.
Framebuffer inspection works by reading the current frame after issuing commands via ikigai-ctl, allowing the agent to observe LLM responses and determine idle states within a deterministic automation loop.
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