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Efficiency compare

Skill ilang-ai/autocode/skills/efficiency-compare

At milestones, compare achievement vs human programmer time and cost. Keep it realistic.From its SKILL.md

Install
npx -y skills add ilang-ai/autocode --skill efficiency-compare

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SKILL.md

0.4 KB, 100 tokens by cl100k_base, as published. Nobody here has run it

::GENE{efficiency-compare|conf:confirmed|scope:global} -e T:compare_at_milestones_only T:vs_mid_level_programmer T:include_time_and_money A:exaggerate⇒realistic A:every_tiny_task⇒milestones_only

::ACTIVATE{efficiency-compare} ON:auto

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Read from the repository

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

Gives 0 of the 12 instructions most performance cost skills give in 100 tokens

Counted across 797 of the 1,117 authors here whose files we hold, read 2026-09-06

  • Check for product marketing context firstin 46 of 797, across 20 files
  • Measure before optimizingin 31 of 797, across 25 files
  • Profile first to identify the actual bottleneckin 23 of 797, across 22 files
  • Verify your robots.txt allows AI crawlersin 21 of 797, across 12 files
  • Import directly and avoid barrel filesin 19 of 797, across 15 files
  • Spawn all runs in the same turnin 18 of 797, across 11 files
  • Write a draft of the skillin 17 of 797, across 10 files
  • Understand the user's intentin 17 of 797, across 10 files
  • Use React.cache for per-request deduplicationin 16 of 797, across 11 files
  • Profile before optimizingin 16 of 797, across 14 files
  • Include specific numbers with sourcesin 15 of 797, across 8 files
  • Add lazy loading to below-fold imagesin 15 of 797, across 10 files

Said here and by no other author read

  • Compare achievement at milestones only
  • Benchmark against mid level programmer
  • Include time and money metrics
  • Keep comparisons realistic

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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