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Platform bottleneck

Skill TserenTserenov/FMT-exocortex-template/.claude/skills/platform-bottleneck

Exocortex template: fork & deploy your AI-powered personal knowledge system with Claude Code

Install
npx -y skills add TserenTserenov/FMT-exocortex-template --skill platform-bottleneck

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What its author says it does

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SKILL.md

1.8 KB, 388 tokens by cl100k_base, as published. Nobody here has run it

Skill: /platform-bottleneck

Алиас. Делегирует в /bottleneck-pick --layer platform.

Решение (S-46, 2026-05-21): два скилла (intra + platform) объединены в один через --layer параметр. Отдельный скилл — избыточен. Оставлен как удобный триггер.

SC: DP.SC.152. Носитель: DP.ROLE.054.

When to use

Скилл IWE — см. тело файла

Algorithm

Шаг 1. Разобрать аргументы

Извлечь --horizon и --subsystem из аргументов вызова.

Шаг 2. Делегировать в /bottleneck-pick

Без --subsystem:

/bottleneck-pick --target c2:platform --layer platform [--horizon <h>]

С --subsystem:

/bottleneck-pick --target c2:platform --layer platform --subsystem <s> [--horizon <h>]

Шаг 3. Вернуть результат

Результат /bottleneck-pick передаётся пилоту без изменений.

Полная документация

/bottleneck-pick SKILL.md (секция --layer=platform) → DP.SC.152 (обещание платформо-специфичного анализа)

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Gives 0 of the 12 instructions most performance cost skills give in 388 tokens

Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-07

  • keep skill files under 500 linesin 82 of 803, across 16 files
  • use imperative form in instructionsin 80 of 803, across 9 files
  • draft assertions while test runs are in progressin 75 of 803, across 9 files
  • create two to three realistic test promptsin 74 of 803, across 9 files
  • write skill descriptions to be pushyin 72 of 803, across 7 files
  • save test cases to evals jsonin 72 of 803, across 6 files
  • ask questions about edge cases and input formatsin 72 of 803, across 7 files
  • save timing data immediately when runs completein 70 of 803, across 5 files
  • include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
  • launch all test runs in a single turnin 69 of 803, across 3 files
  • capture intent before writing a skillin 67 of 803, across 1 file
  • import directly instead of barrel filesin 52 of 803, across 15 files

Said here and by no other author read

  • extract horizon and subsystem from arguments
  • call bottleneck-pick with platform layer
  • return the bottleneck-pick result unchanged

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.