Automate end-to-end plan execution and review across all phases.
npx skills add https://github.com/Honigbart/honeyflow --skill autopilot-honigbart
Please help me install this Agent Skill. Skill: autopilot Source: https://github.com/Honigbart/honeyflow/tree/main/autopilot Command: npx skills add https://github.com/Honigbart/honeyflow --skill autopilot-honigbart
Automates the end-to-end execution and review of active plans, enabling hands-free progress from the current phase to completion.
Start autopilot on an active plan to run all phases with autonomous execution and review until completion.
High-intent search queries and answers about installing and using this skill.
Autonomous plan execution processes each phase sequentially using Codex, Claude, and optional Ollama for decision-making. It tracks progress via execution_state.md and session_log.md to ensure recoverability across sessions until finalization.
Autonomous review uses Codex and Claude with optional Ollama input to evaluate decisions during execution. Automated decision logging and durable state tracking via session_log.md ensure full recoverability across all plan phases.
Yes, autonomous execution requires a final_plan.md file within an active plan directory under .ai/plans. The system uses this file alongside execution_state.md and session_log.md to process phases and finalize completed work.
State recovery relies on durable files like execution_state.md and session_log.md stored under .ai/plans. This architecture tracks progress and allows the autopilot execution loop to resume operations seamlessly without losing context.
Yes, Ollama provides optional input for autonomous decision-making during plan execution. The system integrates Ollama alongside Codex and Claude to evaluate phases, log decisions, and finalize completed work hands-free.
Hands-free plan execution automation requires active plans with a final_plan.md file under .ai/plans. It cannot process plans lacking these structural files or operate outside the defined execution_state.md and archive tracking processes.
HonigbartCritique final_plan.md files with Codex CLI and write critique reports.
fitlab-aiValidate prerequisites, update metadata, and archive completed tasks.
Aiden-KwakCoordinate Claude Code and Codex for planning, implementation, validation, and review.
HonigbartExecute YAML-defined plans across sessions with phase-based state tracking.
