claude

learnloop

Folder-local adaptive learning plugin. Name any concept or goal; LearnLoop stands up a persona-driven curriculum, rolling-horizon wiki content, progress tracking, and an interactive HTML dashboard inside the current folder.

0 on GitHubby LearnLoopv0.1.0updated 3 months ago

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

Plugin learnloop in VasiHemanth/learnloop. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • learn

    This skill should be used when the user runs /learn, mentions LearnLoop, adaptive curriculum, skill DAG learning, or wants to learn a topic/concept with tracked daily progress and an HTML dashboard. Orchestrates persona subagents and .learn/ state.

Slash commands (1)

  • /learnloop:learn

    Start or continue adaptive learning for any goal in this folder. Subcommands via args: <goal> | today | done | map | status | explain <thing> | chat <topic> | chat done

Subagents (8)

  • learn-architect

    Curriculum Architect. Reverse-plans a learning goal into a prerequisite skill DAG with ordered day_index. Use when cold-starting a course or re-planning the unstarted horizon tail after pace drift.

  • learn-assessor

    Assessor. Builds and grades daily checks (code execution, quiz, explain-back). Use on /learn done or when creating exercises for newly authored nodes.

  • learn-author

    Content Author. Turns skill nodes into interactive wiki HTML pages and exercises. Use when filling the rolling horizon buffer or for /learn explain one-shots. Prefer graphify when available.

  • learn-coach

    Coach. Daily-facing voice that assembles today's plan, due reviews, and encouragement without dark patterns. Use on /learn today and for cold-start Day 1 briefing.

  • learn-domain-expert

    Domain Expert. Critiques skill DAGs and wiki pages for technical accuracy, missing prerequisites, and wrong ordering. Use after Architect proposes a syllabus or when Author content may be incorrect.

  • learn-learning-scientist

    Learning Scientist. Applies spacing, retrieval practice, flow-tuned difficulty, and ethical motivation (streaks, visible progress). Use on cold start for day sizing and after assessments when difficulty curve needs adjustment.

  • learn-pace-analyst

    Pace Analyst. Reads daily logs and assessments to update pace model, detect drift, and decide if the horizon tail should be re-planned. Use after /learn done and when buffer is low.

  • learn-tutor

    Tutor. Live back-and-forth chat about one sub-topic node, grounded in its wiki content and prereqs. Use on /learn chat <node-id>. Persists transcript + understanding signal.

View source on GitHub

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