Control a headless ikigai instance by sending keystrokes and reading the framebuffer.
npx skills add https://github.com/multicam/ikigai-rev --skill headless-multicam
Please help me install this Agent Skill. Skill: headless Source: https://github.com/multicam/ikigai-rev/tree/main/.claude-i/library/headless Command: npx skills add https://github.com/multicam/ikigai-rev --skill headless-multicam
Enables controlling a running ikigai instance in headless mode from an agent session, allowing automated interaction without a visible terminal.
Start ikigai in headless mode and drive interaction with the LLM using ikigai-ctl commands.
High-intent search queries and answers about installing and using this skill.
You can control an LLM CLI in headless mode by launching the instance with a headless flag and using a control utility to simulate keystrokes, read the framebuffer, and coordinate response timing within an agent session.
The interact-observe loop is an automation pattern where you send simulated input keystrokes to a background process, wait for UI updates, and read the framebuffer output to interpret the resulting screen state.
Reading framebuffer output involves accessing the background process screen buffer to extract text lines and spans, allowing an agent session to interpret visual UI updates and coordinate response timing without a visible terminal.
Yes, you can run LLM workflows without a visible terminal by launching the instance in headless mode, enabling automated testing workflows that simulate input and observe framebuffer output in the background.
Synchronizing prompt and response timing in a headless LLM deployment requires using timing controls within the interact-observe loop to coordinate when to send simulated input and when to read the framebuffer output.
Headless CLI automation may fail to capture screen output if the interact-observe loop timing is misconfigured, causing the framebuffer to be read before the background process finishes updating its UI state.
mgreenlyLaunch ikigai headlessly and control it via ikigai-ctl commands and framebuffer reads.
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EpiphyticControls tmux sessions to automate interactive terminal commands via keystroke injection and output capture.
