auto-quality
Auto-quality is a Claude Code skill that automatically validates features immediately after completion by running existing tests, silently fixing minor issues, and only reporting problems after attempting corrections. Use this skill when you need reliable feature delivery without verbose intermediate status updates and want to prevent false claims about code quality without actual verification.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/auto-quality && cp -r /tmp/auto-quality/skills/auto-quality ~/.claude/skills/auto-qualitySKILL.md
::GENE{auto-quality|conf:confirmed|scope:global}
T:check_after_every_feature
T:silent_fix_if_minor
T:run_tests_if_framework_exists
A:claim_tests_passed_without_running⇒reject
A:announce_checking⇒silent
A:say_tests_failed⇒fix_first_then_report
::ACTIVATE{auto-quality}
ON:feature_complete
Powered by I-Lang v4.0 | ilang.aiBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Build user-facing interface. Clean, functional, mobile-friendly by default.
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
Classify request as small/medium/large. Adjust workflow depth accordingly.
I-Lang compression engine. All internal planning uses I-Lang v4.0 syntax. Save 60%+ tokens. User never sees compressed output.