Iterate — refine to Done, don't stop at the first attempt
SkillAI & modelsRefine-to-Done loop: repeat until tests green + review clean + nothing deferred; bounded. Not the harness /loop.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Iterate — refine to Done, don't stop at the first attempt skill
What this skill tells your AI
The instructions your AI receives, as published by byerlikaya/claude-starter-kit in plugin/skills/iterate/SKILL.md and read by ahel’s review.
Trigger phrases: "iterate", "loop until done", "keep going until"
When
A task has an objective acceptance criterion (tests, a review gate, a spec) and the first attempt may not
meet it. This is a single-session refinement loop — NOT the harness /loop, which schedules a prompt on an
interval. Open-ended exploration with no checkable target does not belong here.
The loop
- Name the exit test first — the concrete, checkable condition that means "done": tests green,
review-agent-cskclean, the spec's acceptance criterion met, zero SonarQube findings. No exit test → go to spec-planning first; a loop without a target never terminates. Prefer an external, machine-grounded verifier — a test exit code, a schema match, a lint/quality gate — over an LLM's self-assessment. A model grading its own output inflates; an "it looks done" or even a single "review clean" with no objective check is a weak verifier. When the only available check is a judgment call, ground it (a second agent with a distinct lens, an explicit rubric) rather than trusting the loop's own say-so. For a generative task with no exit code, theeval-graderskill is that external verifier — a two-layer scorecard (code metrics + LLM-judge) over a fixed set, read as signed deltas vs a pinned baseline. - Run one round: change → verify (drive the real flow, not only tests) → check the exit test.
- Report the gap every round — state what still fails and why. Never loop silently.
- Repeat until the exit test passes. Stop early and surface it if: two rounds pass with no new progress (you are stuck — report, don't spin), the exit test itself is wrong, or a blocker needs a decision from the user.
- Close at the DoD gate, not at a commit.
commit-agent-cskstill proposes and waits for §4.4 approval. The loop never commits, pushes, or deploys on its own.
Guardrails
- Bounded, not infinite. A fixed exit test plus a no-progress stop is the whole point; "keep trying forever" is a bug, not diligence.
- Token discipline ([[token-budget]]): each round re-pays for context. Keep a round's output a summary,
push heavy logs to
docs/*.md, and don't fan out a subagent per round unless isolation demands it. - Don't move the goalposts. Never weaken the exit test to end the loop — fix the work, or stop and ask.
Signals
- GitHub stars
- 22
- Forks
- 4
- Last commit
- Sep 2026
Advanced
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iterate-byerlikaya- Source
- github.com/byerlikaya/claude-starter-kit