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German Technical Writing

  • 18 installs
  • 4 repo stars
  • Updated August 3, 2026
  • netresearch/german-technical-writing-skill

Helps with ai & agent building tasks.

About

german-technical-writing is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • german-technical-writing
  • AI & Agent Building
  • AI-coding skill

German Technical Writing by the numbers

  • 18 all-time installs (skills.sh)
  • +3 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #10,736 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/netresearch/german-technical-writing-skill --skill german-technical-writing

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Listed on Skillselion
Installs18
repo stars4
Last updatedAugust 3, 2026
Repositorynetresearch/german-technical-writing-skill

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

German Technical Writing

Natural German technical register for German-audience artifacts. Prevents English-first composition plus phrase-by-phrase translation, which produces grammatically correct German that reads as DeepL-output to native readers.

Process

1. Compose in German directly, not by translating. Restart if you catch yourself drafting English first. 2. Self-review each sentence against references/anti-patterns.md. 3. Apply the lexicon — canonical verbs and loanword gender: references/lexicon.md. 4. Match register — Präsens-Indikativ, impersonal voice, no first-person: references/register.md. 5. If unsure, ask — don't guess.

Top anti-patterns

code brichtschlägt fehl / wirft Exception
gefangenerkannt / abgefangen
null returnennull zurückgeben
Test failtschlägt fehl / fällt durch
Fehler triggernFehler auslösen
auf Fehler hittenauf Fehler stoßen

Full ~60-entry catalogue plus pseudo-anglicisms and idiom calques in references/anti-patterns.md. Worked pair-examples in references/examples.md.

Two opposite traps — apply both disciplines

Two failure modes — over-applying one drives you into the other:

1. Anglicism (verb-level): keeping English when German is canonical. Test failtschlägt fehl. Fehler triggernFehler auslösen. The table above and anti-patterns.md target this. 2. Calque / overcorrection (compound-noun-level): translating English when the loanword is canonical. WurzelursacheRoot Cause. WettlaufbedingungRace Condition. SpeicherleckMemory Leak. See anti-patterns.md ("Compound-noun calques") and lexicon.md ("Debugging / Postmortem / Analysis").

Decision rule for nouns: if a native German developer would say the term verbatim in a code review or stand-up, keep it English. The litmus test isn't "does a German equivalent exist?" — it's "do German engineers actually use it in everyday speech?" A German form that sounds like a textbook chapter title is a calque.

Absorbing "use German verbs" without "keep loanword nouns" produces DeepL-grade output. Apply both simultaneously.

Scope note

Commit messages, MR/PR descriptions, release notes and internal IT-project tickets (Netresearch: NRS, NRT, SRV\, IO\, LIC) are English — skip them. This skill governs how to write German, never whether German is the right choice.

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