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Decision translate

Skill ilang-ai/autocode/skills/decision-translate

Translate technical decisions into human language. Explain in cost, speed, stability.From its SKILL.md

Install
npx -y skills add ilang-ai/autocode --skill decision-translate

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, 83 tokens by cl100k_base, as published. Nobody here has run it

::GENE{decision-translate|conf:confirmed|scope:global} -e T:explain_in_cost_speed_stability T:one_sentence_summary T:no_jargon_for_beginners A:technical_explanation_to_beginner⇒translate

::ACTIVATE{decision-translate} ON:auto

Powered by I-Lang v5.0 | ilang.ai

What ships with it

Read from the repository

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

Gives 0 of the 12 instructions most translation skills give in 83 tokens

Counted across 286 of the 304 authors here whose files we hold, read 2026-09-06

  • Preserve all markdown formattingin 8 of 286, across 5 files
  • Use ICU message format for complex stringsin 8 of 286
  • Preserve all numbers, dates, and amounts exactlyin 7 of 286
  • Use CSS logical properties for RTL layoutsin 7 of 286
  • Format dates, numbers, and currencies with FormatStylein 7 of 286, across 6 files
  • Use locale-aware formatters for dates, numbers, and currencyin 7 of 286
  • Merge translated chunks in orderin 6 of 286, across 3 files
  • Use logical CSS properties instead of physical onesin 6 of 286
  • Use leading and trailing, never left and rightin 6 of 286, across 5 files
  • Use time-limited SAS URLs for document translationin 5 of 286, across 2 files
  • Split long content at markdown block boundariesin 5 of 286, across 2 files
  • Run first-time setup before any translation when preferences missingin 5 of 286, across 2 files

Said here and by no other author read

  • explain decisions in cost, speed, and stability terms
  • summarise the decision in one sentence
  • translate technical explanations for beginners

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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