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Set up a self-improvement loop that drives Google Antigravity CLI (agy -p) to iteratively improve a piece of work on a topic, with the agent rewriting the next goal based on its own reflection.
Passed 18 of 20 test cases with the skill, and 5 of 20 without it.
and 16 more in the full report
15 fixed5 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to manually step through a single iteration of the `ebpf-networking` track without launching the automatic loop wrapper `loop.sh`. Which script should be invoked to perform exactly one iteration pass?
| Checked | Without skill | With skill |
|---|---|---|
| Specify executing `./runner.sh`. | Missed | Passed |
The instructions your model reads when the skill loads.
Turn a topic into a multi-iteration loop that visibly self-improves. Each iteration, the agent (AGY) reads the current goal, the next goal, and the previous reflection, then rewrites the artifact AND the next goal. The runner persists state on disk between iterations.
The full design rationale lives in DESIGN.md. The
operating manual is README.md. This SKILL.md is the
onboarding contract for a new agent or human.
Collect only the missing information:
tracks.yaml.If the user has a vague idea, ask 2–3 questions. Do not start a long interview.
Use it when ALL of these are true:
test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.