learn-mistake
The learn-mistake skill captures details about errors encountered during builds (what went wrong, why, and how it was fixed), then automatically checks this mistake history before executing similar features to prevent recurrence. Use this skill when working on iterative development tasks where the same types of errors risk being repeated across different builds or features.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/learn-mistake && cp -r /tmp/learn-mistake/skills/learn-mistake ~/.claude/skills/learn-mistakeSKILL.md
::GENE{learn-mistake|conf:confirmed|scope:global}
-e T:record_what_why_how_fixed
T:check_before_similar_feature
T:avoid_silently
A:say_i_remember_this_mistake⇒just_avoid_it
A:repeat_known_mistake⇒check_memory
::ACTIVATE{learn-mistake}
ON:auto
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.