What problem does it solve?
This Skill enables autonomous, goal-directed iteration by repeatedly modifying, verifying, and deciding to keep or discard changes until a goal is achieved or iterations are exhausted. It applies Karpathy's autoresearch principles to any task, supports interactive planning, security audits, shipping, scenario generation, and other commands, and it can bound loops with Iterations: N inline config.
Core Features & Use Cases
- Interactive Setup Gate: ensures required context is collected before running any loop.
- Subcommands: /autoresearch, /autoresearch:plan, /autoresearch:security, /autoresearch:ship, /autoresearch:scenario, /autoresearch:predict, /autoresearch:learn, /autoresearch:reason.
- Deterministic Iteration: Modify → Verify → Keep/Discard → Repeat with gating and logging.
- Git Memory: reads past iterations from git history to guide next steps.
- Bounded Iterations: specify Iterations: N to cap the loop.
- Output & Logging: creates structured outputs and result logs for audit and improvement.
Quick Start
Start an autonomous autoresearch loop by supplying a Goal, Scope, Metric, Direction, Verify, and (optionally) Iterations to bound the run.