agentleFS
Sign inStart free
michaelbeijermichaelbeijer/Supervertaler/CLAUDE.md

Supervertaler

CLAUDE.md62 starsChanged 7 days agoMITView on GitHub

Concise project reference for AI-assisted development. Check CHANGELOG.md for latest version and recent work. Supervertaler is a desktop CAT (Computer-Assisted Translation) tool built with PyQt6. It combines AI translation (multiple LLM providers), translation memory, terminology management, and quality assurance in a single application. Primary config: settings/settings.json with top-level sections: api_keys, general, ui, features. Satellite files under settings/: themes.json, shortcuts.json, recent_projects.json, find_replace_history.json, superlookup_history.json, voice_commands.json, model_version_cache.json. Legacy settings files are auto-migrated at startup and renamed to .migrated. 1. Supervertaler.py is very large…

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 1

    1. Supervertaler/Supervertaler-Workbench★ 62100% same

    Edited · 0

    None found.

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository2 other files it gives its agents.

The file

We split this CLAUDE.md into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run python tools/shortcut_overlap.py before changing any binding: it prints the current intersection and exits non-zero if a global one …

    line 66

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

Supervertaler – Claude Code Reference

Concise project reference for AI-assisted development. Check CHANGELOG.md for latest version and recent work.

Project Overview

Supervertaler is a desktop CAT (Computer-Assisted Translation) tool built with PyQt6. It combines AI translation (multiple LLM providers), translation memory, terminology management, and quality assurance in a single application.

Key Paths

WhatPath
Main app (monolithic)Supervertaler.py
Modulesmodules/
Version (source of truth)pyproject.toml
ChangelogCHANGELOG.md
Website (landing)docs/index.html
Website (Workbench page)docs/workbench/index.html
Website (Trados page)docs/trados/index.html
Website CSSdocs/styles.css
Help – Desktop (GitBook)docs/help/supervertaler/
Help – Trados (GitBook)Moved to Supervertaler-for-Trados repo docs/
Help – Desktop (old, git-synced)docs/superdocs/
Teststests/
Settingssettings/settings.json
Dependenciesrequirements.txt

Important modules

  • modules/termlens_widget.py – TermLens inline terminology display (TermLensWidget)
  • modules/llm_clients.py – LLM provider abstraction
  • modules/termbase_manager.py – glossary/termbase CRUD
  • modules/database_manager.py – SQLite database layer
  • modules/translation_results_panel.py – match panel UI
  • modules/shortcut_manager.py – keyboard shortcut system
  • modules/simple_segmenter.py – sentence segmentation (SimpleSegmenter, MarkdownSegmenter)
  • modules/platform_helpers.py – cross-platform utilities (Windows/macOS/Linux)

Settings Architecture

Primary config: settings/settings.json with top-level sections: api_keys, general, ui, features.

Satellite files under settings/: themes.json, shortcuts.json, recent_projects.json, find_replace_history.json, superlookup_history.json, voice_commands.json, model_version_cache.json.

Legacy settings files are auto-migrated at startup and renamed to .migrated.

Pitfalls

  1. Supervertaler.py is very large – always read/edit by line range, never full-file.
  2. Qt table access: use cellWidget() for editors, item() for plain items.
  3. Block signals during programmatic text updates to avoid cascades.
  4. Style issues can be timing-related (hidden widgets, deferred visibility).
  5. XML namespace formats (SDLXLIFF): always use namespace dicts.
  6. Never add "global": True to a shortcut whose chord Supervertaler for Trados also uses. A global hotkey is registered at OS level and fires whichever application is in front, so it reaches Trados as well – and many users run both products side by side. The two apps share 17 chords quite deliberately (Alt+↓, Ctrl+Alt+T, Alt+1…9 and so on do the same job in each), which is safe only while the Workbench side stays in-app and focus decides the winner. Promoting one of those to global turns a parallel into a collision. Two of these shipped in one day: Ctrl+Alt+A (Always-On vs Add term with abbreviation) and Ctrl+Alt+V (voice PTT vs voice toggle). The second was the nastier kind – Workbench's was a hold and Trados's a toggle, so releasing the key stopped only Workbench's and left the Trados listener latched on with nothing visible having started it. Run python tools/shortcut_overlap.py before changing any binding: it prints the current intersection and exits non-zero if a global one collides.

Testing

pytest tests/

Manual smoke test: import DOCX → translate → export, save/load .svproj, TM + termbase matching, AI translation, SDLPPX round-trip.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free