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Learn mistake

Skill ilang-ai/autocode/skills/learn-mistake

Record mistakes. Check before similar builds. Avoid repeating silently.From its SKILL.md

Install
npx -y skills add ilang-ai/autocode --skill learn-mistake

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.4 KB, 109 tokens by cl100k_base, as published. Nobody here has run it

::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

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Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most learn study skills give in 109 tokens

Counted across 545 of the 593 authors here whose files we hold, read 2026-09-06

  • Treat the current directory as a teaching workspacein 20 of 545, across 17 files
  • Teach knowledge first then practice skillsin 19 of 545, across 16 files
  • Design lessons which build long-term retentionin 15 of 545, across 12 files
  • Save each lesson as a self-contained HTML filein 15 of 545, across 12 files
  • Question the user on why they want to learn thisin 15 of 545, across 12 files
  • Reuse components from the assets directoryin 14 of 545, across 11 files
  • Never trust your parametric knowledgein 13 of 545, across 10 files
  • Record user preferences in NOTES.mdin 11 of 545, across 8 files
  • Ground all teaching in the MISSION.md documentin 11 of 545, across 8 files
  • Save each lesson to the lessons directoryin 8 of 545
  • Question the user if the mission is unclearin 7 of 545
  • Gather primary sources onlyin 7 of 545, across 4 files

Said here and by no other author read

  • Record what, why, and how it was fixed
  • Check before similar features
  • Avoid mistakes silently

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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