rapid-domain-mastery

Builds field maps from multi-source academic or technical corpora: expert mental models, debates, assumptions, prerequisites, oral-exam questions, and sprint study plans. Use for exam prep, research onboarding, or rapid topic mastery from multiple sources. Not for plain summaries or single short docs.

Ir a la instalación

Repositorio: abe238/community-skills
Última actividad en el origen: 29 de mayo de 2026 a las 03:30
Idioma detectado de SKILL.md: inglés
Estrellas: 1
Forks: 0

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.

npx skills add https://github.com/abe238/community-skills --skill rapid-domain-mastery

El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.

¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Explorador de archivos

25 archivos

SKILL.md

Instrucciones de origen · Vista previa de solo lectura

Volver a la búsqueda Volver a la instalación

Rapid Domain Mastery

First pass

Read references/00-routing-and-boundaries.md.

Decide whether the corpus is strong enough for synthesis; if it is thin, label the weak spots with [Gap] and keep claims bounded.

Read references/10-input-contract.md and normalize subject, goal, level, time budget, source shape, and desired mode.

Core modules

Always load references/20-corpus-audit.md.

Load references/30-field-cartography.md and references/40-mental-model-extraction.md for field maps, conceptual compression, or expert-model extraction.

Load references/50-debate-cartography.md when the corpus contains competing schools, methods, interpretations, or tradeoff-heavy positions.

Load references/60-assumption-mining.md in every deep run; hidden assumptions are where fake understanding usually hides.

Load references/70-prerequisite-ladder.md when the user is missing foundations or the corpus assumes them.

Load references/80-diagnostic-question-design.md for exam prep, interviews, mastery checks, or concept stress tests.

Load references/90-tutor-loop.md when the user wants interactive drilling.

Load references/100-study-sprint-planner.md when the user gives a time budget.

Load references/110-application-and-transfer.md when the user wants design, implementation, policy, teaching, or project transfer.

Load references/120-domain-adapters.md when discipline-specific handling matters.

Load references/130-mcp-and-tooling.md only when tools or live retrieval materially change the workflow.

Load references/140-output-templates.md and files in templates/ when a structured deliverable will help.

Load references/150-quality-gates.md before finalizing any substantial answer.

Load references/160-failure-modes.md if the task risks summary drift, fake consensus, or thin-corpus overreach.

Epistemic labels

Use these when helpful: [Consensus], [Debate], [Open], [Prereq], [Inference], [Gap].

Default output

Return, in this order when appropriate: corpus audit, core mental models, major disagreements, open questions, hidden assumptions, prerequisite ladder, diagnostic questions, and either tutor start or sprint plan.