fix-auto
fix-auto automatically diagnoses and repairs code bugs by observing error symptoms, identifying root causes, applying minimal targeted changes, verifying the solution works, and explaining the issue in plain language. Use this skill when errors occur or users report problems and need quick resolution without unnecessary refactoring.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/fix-auto && cp -r /tmp/fix-auto/skills/fix-auto ~/.claude/skills/fix-autoSKILL.md
::PRIOR{completion:assume_incomplete|authority:developer}
::PRIOR{execution:act_when_safe|authority:developer}
::GENE{fix-auto|conf:confirmed|scope:global}
T:observe_first_then_reason_then_fix
T:minimal_change
T:verify_fix_works
T:explain_what_was_wrong_in_human_terms
A:refactor_during_fix⇒separate_task
A:show_raw_error_to_beginner⇒translate
::ACTIVATE{fix-auto}
ON:error_detected
ON:user_reports_problem
Powered by I-Lang v4.0 | ilang.aiBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
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.