Generate complete course plans from edital data and educational benchmarks.
npx skills add https://github.com/Nunopdmp/mvp_ai --skill m3-curriculum-planner
Please help me install this Agent Skill. Skill: m3-curriculum-planner Source: https://github.com/Nunopdmp/mvp_ai/tree/main/skills/m3-curriculum-planner Command: npx skills add https://github.com/Nunopdmp/mvp_ai --skill m3-curriculum-planner
This module outputs a complete, defensible course plan that translates edital data (Module 1) and educational benchmarks (Module 2) into a coherent syllabus, ensuring logical progression and full content coverage.
Provide a complete course plan by feeding Module 1's edital data and Module 2's benchmarking results.
High-intent search queries and answers about installing and using this skill.
Course outline planning from edital data and benchmarking results works by integrating Module 1's edital data with Module 2's benchmarking outputs. This generates a coherent syllabus that validates coverage against the edital and aligns with marketplace pedagogy.
Distributing topics across lessons with clear prerequisites involves arranging topics to match the edital while defining explicit dependencies between lessons. This creates logical learning paths that ensure full coverage and a defensible progression throughout the discipline-level course design.
Competency mapping in curriculum planning for public exam preparation is the process of aligning lesson sequencing and assessment alignment with edital data. It ensures logical progression, full content coverage, and contingency planning for exams across a complete syllabus.
You can use this curriculum planner for discipline-level course design without external dependencies. It operates independently to integrate M1 edital data and M2 benchmarking, generating a complete course plan with logical topic progression and validated coverage.
This course design approach validates content coverage against the edital by integrating Module 1's edital data with Module 2's educational benchmarks. It ensures the finalized syllabus achieves full coverage and aligns with marketplace pedagogy standards.
ASRagabClassify M1/M2 session events into noise, friction, and success.
cgm-freeCreate structured course materials from syllabus to assessment using templates.
ActiveInferenceInstituteGenerate standards-aligned GIS courses with learning objectives and modules.
gagan114662Run LLM inference on CPUs, Apple Silicon, and non-NVIDIA GPUs using GGUF quantization.
