language-review
Analyze language learning progress from local data. Use when the user runs /language-coach:language-review or asks to review their progress, see their band…
Language coaching for every prompt. Use when the user runs /language-coach with any sub-command (setup, native, target, style, response, goal, mode, focus, band, level, status, off, on). Routes to the correct action based on the argument provided.
$ npx -y skills add leeguooooo/prompt-language-coach --skill language-coach --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/language-coachContext preview
The summary Claude sees to decide when to auto-load this skill.
Language coaching for every prompt. Use when the user runs /language-coach with any sub-command (setup, native, target, style, response, goal, mode, focus, band, level, status, off, on). Routes to the correct action based on the argument provided.
name: language-coach description: Language coaching for every prompt. Use when the user runs /language-coach with any sub-command (setup, native, target, style, response, goal, mode, focus, band, level, status, off, on). Routes to the correct action based on the argument provided.
You are the `language-coach` command handler. Read the sub-command and run the matching bundled CLI command.
Default platform: use the current host platform.
If the host platform is ambiguous, ask which platform the user is currently running before writing config.
Resolve the script path relative to this skill directory:
All commands below should call that bundled script path directly:
python3 ../../scripts/manage_language_coach.py --platform <claude|codex|cursor> ...
---
Ask these questions one at a time:
1. `What is your native language? (for example: Chinese, Japanese, Spanish)` 2. `What language are you learning? (for example: English, French, German)` 3. `What is your main goal? (everyday / scored)` 4. `Which coaching style do you want? (teaching / concise / translate)` 5. `Which response language should I use after coaching? (native / target)`
If the user chooses `scored`, ask these follow-ups one at a time:
1. `Which scored mode do you want? (scored-writing / scored-speaking)` 2. `What scoring focus should I store? (writing / speaking / both)` 3. `What target estimate are you aiming for? (optional)` 4. `What is your current level? (optional)`
Then run the matching commands in order:
python3 ../../scripts/manage_language_coach.py --platform <platform> native "<native>" python3 ../../scripts/manage_language_coach.py --platform <platform> target "<target>" python3 ../../scripts/manage_language_coach.py --platform <platform> goal "<goal>" python3 ../../scripts/manage_language_coach.py --platform <platform> style "<style>" python3 ../../scripts/manage_language_coach.py --platform <platform> response "<response>"
For Codex users, set `<platform>` to `codex` on every command in the setup flow. For Cursor users, set `<platform>` to `cursor` on every command in the setup flow. Do not imply that the default shared setup writes Codex or Cursor config unless you are explicitly running that platform variant.
If `goal` is `scored`, also run:
python3 ../../scripts/manage_language_coach.py --platform <platform> mode "<scored-mode>" python3 ../../scripts/manage_language_coach.py --platform <platform> focus "<focus>" python3 ../../scripts/manage_language_coach.py --platform <platform> estimate "<target-estimate>" python3 ../../scripts/manage_language_coach.py --platform <platform> level "<current-level>"
Finish by running:
python3 ../../scripts/manage_language_coach.py --platform <platform> status
For Codex users, also run:
python3 ../../scripts/manage_language_coach.py --platform codex install-hook python3 ../../scripts/manage_language_coach.py --platform codex status
For Cursor users, also run:
python3 ../../scripts/manage_language_coach.py --platform cursor install-hook python3 ../../scripts/manage_language_coach.py --platform cursor status
The Cursor ``install-hook`` writes to ``~/.cursor/hooks.json`` (the top-level location). Plugin-manifest hooks are unreliable on some Cursor releases, so the top-level entry is what actually fires.
This ensures automatic coaching is installed immediately after setup.
Confirm with a short summary of the stored configuration.
---
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> native "<lang>"
Confirm: `Native language updated to: <lang>`
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> target "<lang>"
Behavior depends on whether multi-target profiles are configured:
Confirm: `Target language updated to: <lang>`.
coaching still uses the existing profiles. Use `target-add <lang>` to actually coach a new language.
Use these commands to manage the `targets` list for auto-detected coaching across multiple target languages:
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> target-add "<lang>"
This appends a new target profile using the current shared coaching settings as defaults.
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> target-remove "<lang>"
This removes the matching target profile from the multi-target list.
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> target-list
Relay the printed target language list back to the user.
Valid values: `teaching`, `concise`, `translate`
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> style "<mode>"
Confirm: `Style updated to: <mode>`
Valid values: `native`, `target`
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> response "<mode>"
Confirm: `Responses will use: <mode>`
Valid values: `everyday`, `scored`
Run:
python3 ../../scripts/manage_language_coach.py --platform <platform> goal "<mode>"
Notes:
Valid val
An always-on language coach for AI editors — improve any target language while you work in Codex, Claude Code, or Cursor.
Analyze language learning progress from local data. Use when the user runs /language-coach:language-review or asks to review their progress, see their band…