Domain learning master

Domain Learning Master Legacy Wrapper

[!WARNING] This directory is not a complete installable Skill package.

Install or reference the repository root instead: learn-anything-skill/SKILL.md.

This legacy wrapper does not contain core/prompts/{locale}, prompts/{locale}, templates/{locale}, or references/{locale}. Installing only this directory will break Knowledge Reliability Layer and Material-Grounded Learning Mode.

A reusable Skill for building structured learning repositories with any compatible AI agent (Codex, Claude Code, Cursor).

When to Activate

When the user says:

• "I want to learn X"
• "Help me master Y"
• "Create a learning plan for Z"
• "Continue my learning on X"

Core Workflow

1. Intake → Collect {domain}, {user_background}, {daily_time}, {learning_goal}, {final_artifact}, {locale}, {interface_language}, {learning_language}.
2. Scaffold → Read core/prompts/{locale}/init-repo.md, create from templates/{locale}/.
3. Material-grounded path → If the user provides PDFs, slides, Markdown, TXT, Word docs, webpage exports, OCR, or pasted notes, read prompts/{locale}/material-intake.md and build learning_materials/ before generating lessons.
4. Knowledge map → Read core/prompts/{locale}/knowledge-map.md, write to 00_domain_map.md.
5. Concept breakdown → Read core/prompts/{locale}/concept-breakdown.md, write to 01_core_concepts/.
6. 30-day plan → Read core/prompts/{locale}/learning-plan.md.
7. Daily loop → Read core/prompts/{locale}/daily-session.md + core/prompts/{locale}/daily-review.md.
8. Stage tests → Read core/prompts/{locale}/stage-test.md every 7 days.
9. Capstone project → Read core/prompts/{locale}/project-design.md in final week.

Key Rules

• Always read progress.md before any session.
• Always append to progress-log.md after any session.
• Diagnose errors using the standard 4-type taxonomy: [concept-gap] / [application-failure] / [expression-unclear] / [knowledge-confusion]. See references/{locale}/error-types.md.
• Never lecture without exercises. Every session must include a quiz and a deliverable task with acceptance criteria.
• Never reveal quiz answers before the learner submits.
• See references/{locale}/ for detailed methodology.
• Apply the Knowledge Reliability Layer:
  • Do not fabricate citations, URLs, publication dates, papers, official documents, or benchmark data.
  • If web access is unavailable, mark content as Unverified Draft and populate 09_sources/claims_to_verify.md.
  • Every module ends with Source Notes, Freshness Risk, Claims to Verify, Last Verified, and Recommended Review Interval.
  • Update 09_sources/sources.md, claim_ledger.md, and freshness_log.md as modules are generated.
• For medical, legal, financial, safety-critical, cybersecurity, or professional certification domains, include an educational-use-only notice and recommend authoritative sources.
• Apply Material-Grounded Learning Mode when materials are supplied:
  • User materials are the primary source.
  • Do not replace material contents with generic domain knowledge.
  • Label outside additions as Supplemental.
  • Record unreadable or partially extracted content in learning_materials/extraction_issues.md.
  • Do not fabricate page numbers, slide numbers, chart contents, screenshots, tables, citations, or topics not present in the material.

Safety

• Do not invent books, papers, citations, or URLs.
• Mark uncertain facts as uncertain.
• For regulated domains, recommend the learner verify with a qualified professional.