claude

jp-learner

A 24-week Japanese listening and speaking learning plugin for Chinese-speaking learners, powered by Claude Code agents.

0 on GitHubby Wilson Wangv0.1.0MITupdated 7 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin jp-learner in josix/claude-jp-learner. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (10)

  • build-study-plan

    Generate a personalized 24-week Japanese study plan structure based on the learner's goal, level, daily time budget, and topic preferences.

  • build-weekly-review

    Synthesize the past week's task history, self-ratings, and mistake patterns into a compressed weekly summary with weak areas, strong areas, and a recommended focus for the next week.

  • generate-daily-tasks

    Generate an ordered list of daily study tasks tailored to the learner's current week focus, recent performance, and available time.

  • generate-listening-drill

    Produce a structured listening comprehension drill from data/listening.json, including transcript segments, key vocabulary callouts, comprehension questions, and a summary task.

  • generate-shadowing-drill

    Create a shadowing drill from listening or speaking content, with sentence-by-sentence guidance, rhythm cues, and repetition instructions.

  • generate-speaking-prompt

    Deliver a structured speaking task from data/speaking.json, with hint scaffolding, target patterns, and a timer target — revealing the sample answer only after the learner attempts.

  • review-answer

    Analyze a learner's Japanese answer and return a corrected version, a natural native version, a list of mistakes with Chinese explanations, and brief coaching advice.

  • select-grammar-items

    Select grammar patterns from data/grammar.json tailored to the learner's current week focus and recent performance, with examples and a practice prompt.

  • select-vocab-items

    Select appropriate vocabulary items from data/vocab.json based on the learner's level, topic preference, and recent mistake patterns.

  • update-progress

    Record task completion, update streak, detect recurring mistakes, and write updated state to storage/progress.json and storage/daily_state.json.

Slash commands (10)

  • /jp-learner:jp-complete

    Mark a task as completed, record your self-rating, and update your progress and streak.

  • /jp-learner:jp-grammar

    Run a grammar pattern training session tailored to your current week focus and recent performance.

  • /jp-learner:jp-init

    Initialize a new learner profile and generate a personalized 24-week Japanese study plan.

  • /jp-learner:jp-listen

    Run a structured listening comprehension drill with vocabulary preview, staged transcript, and comprehension questions.

  • /jp-learner:jp-review

    Get detailed correction and coaching on a Japanese answer you wrote or spoke.

  • /jp-learner:jp-shadow

    Run a shadowing drill to train pronunciation, rhythm, and natural speech patterns through structured repetition.

  • /jp-learner:jp-speak

    Complete a structured speaking task with scaffolding hints, target grammar patterns, and a timer target.

  • /jp-learner:jp-today

    Generate today's personalized study task list based on current week focus, recent progress, and available time.

  • /jp-learner:jp-vocab

    Run a vocabulary training session with items selected for your level, topic, and current mistake patterns.

  • /jp-learner:jp-weekly

    Generate a weekly review summary with performance stats, weak and strong areas, and a recommended focus for the coming week.

Subagents (3)

  • Planner

    Study planning coach that builds the learner's 24-week curriculum, generates daily task lists, and selects appropriate content — maintaining long-term learning continuity.

  • ProgressTracker

    Data steward that records task completions, updates streaks, detects recurring mistakes, promotes items to mastery, and synthesizes weekly performance summaries.

  • SpeakingCoach

    Speaking and pronunciation coach that delivers shadowing drills, speaking tasks, and detailed answer correction — focused on production fluency and natural expression.

View source on GitHub

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