Skill suggestion: MasteryThread for persistent evidence-based learning

Hi maintainers — thanks for maintaining Awesome Codex Skills.

I would like to suggest MasteryThread, a public Codex Skill for persistent, evidence-based learning projects.

Repository: https://github.com/heyard2026/mastery-thread Skill path: https://github.com/heyard2026/mastery-thread/tree/main/skill/mastery-thread Packaged Skill: https://github.com/heyard2026/mastery-thread/raw/refs/heads/main/packages/mastery-thread-skill.zip Public demo: https://mastery-thread.heyard2025.chatgpt.site/

What it does

• Diagnoses the learner’s actual baseline before building a dependency-aware learning route.
• Uses a retrieve → observe → intervene → verify loop.
• Records mastery from observable evidence instead of lesson completion or self-confidence.
• Discounts answers produced with strong hints and tracks unresolved misconceptions.
• Maintains a portable learning-state.json for review scheduling and interruption recovery.
• Generates outcome-focused progress reports.

Quality and validation

• 18/18 deterministic regression tests pass.
• Includes progressive-disclosure references for mastery rules, route patterns, state contracts, source grounding, and evaluation cases.
• Includes scripts for state validation, migration, review scheduling, and report generation.
• MIT licensed with bilingual documentation.
• The Skill and local workflow can be used independently of the hosted demo.

Suggested category: Productivity & Collaboration.

I checked for an existing MasteryThread entry or matching open issue before submitting and found none.