Skip to content
training-reviewer logo

Training Reviewer

training-reviewer

This skill should be used when reviewing and validating training materials, workshop designs, facilitator guides, or learning journeys against evidence-based frameworks and best practices. Use this skill to assess compliance with TBR 4Cs, brain-friendly principles, 70:20:10 integration, and instr...

mattnigh/skills_collection0installs24stars

SKILL.md

Full skill instructions

Training Reviewer

Overview

The Training Reviewer skill provides comprehensive review and validation of training materials against evidence-based instructional frameworks. It helps identify gaps, ensure compliance with brain-friendly principles, validate time allocations, and surface opportunities for improvement before materials are delivered.

When to Use This Skill

Use Training Reviewer when:

  • Reviewing completed session designs or workshop agendas
  • Validating facilitator guides against framework requirements
  • Assessing learning journey designs for 70:20:10 balance
  • Checking materials for brain-friendly principle compliance
  • Identifying gaps in practice activities or support materials
  • Preparing materials for pilot delivery
  • Iterating after pilot feedback

Core Review Frameworks

TBR 4Cs Compliance Review

Every training session should allocate time appropriately across the 4Cs:

  • Connection: 10-15% - Activates knowledge, builds safety
  • Concepts: 30-40% - Chunked (max 15 min), with processing
  • Concrete Practice: 40-50% - Guided → Collaborative → Independent
  • Conclusion: 5-10% - Learner summary, commitments, celebration

Brain-Friendly Principles Review

  • 10-1 Rule: No content delivery exceeds 15 minutes without processing
  • Active Learning: Learners talk, teach, and do (not just listen)
  • Real Work: Practice mirrors actual job tasks, not simulations
  • Chunking: Content broken into manageable pieces (7-15 minutes max)
  • Multimodal: Mix visual, auditory, kinesthetic, reading/​writing

Review Workflows

Quick Review (30 minutes)

For rapid validation before pilot:

  1. Check time allocations: Do 4Cs percentages match?
  2. Check practice: Is 40-50% of time hands-on?
  3. Check processing: Do concept chunks have processing activities?
  4. Check realness: Are practice scenarios real work?
  5. Check conclusion: Is it learner-generated (not facilitator summary)?

Comprehensive Review (60-90 minutes)

For thorough validation of materials:

  1. Review overall structure and learning objectives
  2. Validate each framework component (use checklists in references/)
  3. Identify all critical issues
  4. Identify important improvements
  5. Draft detailed review report

Post-Pilot Review

After initial delivery:

  1. Review pilot feedback on timing and flow
  2. Update materials based on learner feedback
  3. Check if changes maintain framework compliance
  4. Document lessons learned

Key Review Checklists

Session Design Quick Check

  • Connection: Activates prior knowledge? (~10-15 min)
  • Concepts: No chunk exceeds 15 min? Processing follows each?
  • Practice: 40-50% of time? Progression: guided→collab→independent?
  • Conclusion: Learner-generated summary? Commitments?
  • Timing: Exact minutes allocated for each section?

Learning Journey Quick Check

  • Business outcomes clearly defined?
  • 70% work: Real projects, repeated practice, clear progression?
  • 20% social: Coaching plan, peer learning, CoP defined?
  • 10% training: Just-enough content, enables 70%/​20%?
  • Sustainability: Support defined beyond initial period?

Common Issues to Flag

Critical (Stop and Fix)

  • Insufficient practice (< 40% of session)
  • Lecture > 15 minutes without processing
  • Missing Connection or Conclusion
  • Simulated practice instead of real work
  • No post-workshop support planned

Important (Should Fix Before Pilot)

  • Time allocations don't match 4Cs percentages
  • Missing real work examples
  • Unclear practice progression
  • Processing activities don't follow chunks
  • Incomplete facilitator notes

Nice-to-Have (Iterate Later)

  • More multimodal elements
  • Deeper discussion questions
  • Energy management tips
  • Extension activities for advanced learners

Resources

This skill includes comprehensive checklists and templates:

references/

  • 4cs-compliance-checklist.md - Detailed TBR framework validation
  • brain-friendly-checklist.md - Brain science principles verification
  • 70-20-10-checklist.md - Learning journey balance review
  • review-report-template.md - Standard review report format
  • common-issues-and-fixes.md - Quick reference for typical problems

scripts/

  • framework_validator.py - Script to analyze session timing allocations
  • checklist_scorer.py - Auto-scores materials against compliance criteria

Integration with Other Skills

  • training-designer: Validate designs created with this skill
  • training-content-creator: Review generated content
  • learning-journey-builder: Validate 70:20:10 balance
  • workshop-facilitator-prep: Review facilitator guides for completeness

Review Best Practices

✅ Do:

  • Review with frameworks as reference
  • Identify specific, actionable issues
  • Balance critical feedback with strengths
  • Provide concrete recommendations
  • Check for learner-centered design

❌ Don't:

  • Use vague feedback
  • Fix materials without discussion
  • Ignore framework requirements
  • Skip the strengths section
  • Review in isolation

More skills from mattnigh

spring-framework-patterns logo
mattnigh/skills_collection

spring-framework-patterns

Comprehensive Spring Framework and Spring Boot best practices including dependency injection patterns, bean lifecycle and scopes, REST API development, Spring Data JPA, service layer design, Spring Security, testing strategies, caching, AOP, async processing, error handling, and common anti-patte...

24 0
View

TypeScript厳格モードによる型安全性設計を専門とするスキル。 📖 参照書籍: - 『Effective TypeScript』(Dan Vanderkam): 型設計 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/di...

24 0
View
deploying-cloud-k8s logo
mattnigh/skills_collection

deploying-cloud-k8s

Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) with CI/CD pipelines. Use when deploying to production, setting up GitHub Actions, troubleshooting deployments. Covers build-time vs runtime vars, architecture matching, and battle-tested debugging.

24 0
View
moai-alfred-agent-guide logo
mattnigh/skills_collection

moai-alfred-agent-guide

19-agent team structure, decision trees for agent selection, Haiku vs Sonnet model selection, and agent collaboration principles. Use when deciding which sub-agent to invoke, understanding team responsibilities, or learning multi-agent orchestration.

24 0
View
mermaid-diagram-generator logo
mattnigh/skills_collection

mermaid-diagram-generator

Converts architecture descriptions, module specs, or workflow docs into Mermaid diagrams. Use when visualizing brick module relationships, workflows (DDD, investigation), or system architecture. Supports: flowcharts, sequence diagrams, class diagrams, state machines, entity relationship diagrams,...

24 0
View
pre-flight-check logo
mattnigh/skills_collection

pre-flight-check

INVOKE FIRST before any code work. Validates git workflow (branch, issue, worklog) and checks approach. Use at START of every task and END before completing. Prevents skipped steps.

24 0
View
browser-dev-tools logo
mattnigh/skills_collection

browser-dev-tools

This skill should be used when working with browser-rendered artifacts (i.e. Bun, React/React Native) to proactively validate that development work on localhost is being built appropriately and to support debugging browser-rendered content. Use this skill after making frontend changes to verify t...

24 0
View
lead-dev logo
mattnigh/skills_collection

lead-dev

Lead Développeur - Coordination technique opérationnelle, code review, mentoring et livraison. Pair de web-dev-process au niveau OPÉRATIONS.

24 0
View
worker-monitor logo
mattnigh/skills_collection

worker-monitor

Monitor Docker workers, RQ queue health, and auto-scale workers (max 4). Use when: checking job progress, monitoring queue depth, scaling workers up/down, diagnosing slow processing, or waiting for jobs to complete. Referenced by data-quality skill during reprocessing.

24 0
View
quality-advisor logo
mattnigh/skills_collection

quality-advisor

Proactive quality guidance system that monitors artifact creation and provides real-time feedback on documentation quality

24 0
View
bump-version logo
mattnigh/skills_collection

bump-version

This skill should be used when the user wants to bump the version number in the workspace. It updates versions across all pyproject.toml files (root, tde, and tda packages) and the CHANGELOG.md to keep them synchronized.

24 0
View

Popular AI tools

Kaiber logo
Video

Kaiber

Generate, edit, and beat-sync AI video with leading models in one workspace.

Paid
View
Vimcal logo
Productivity

Vimcal

The world's fastest calendar for remote work

Free
View

Transform Your Design with AI Designer by ImgCreator.ai

Freemium
View
Akool AI logo
Content & writing

Akool AI

Revolutionizing Video Production with AI-Powered Creativity

Paid
View

Extend an image past the frame and let AI fill the new aspect ratio.

Freemium
View
StarByFace logo
Security

StarByFace

Discover your celebrity doppelgänger with StarByFace!

Free
View
C

ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.

Freemium
View
Opus Clip logo
Coding & apps

Opus Clip

Opus.ai: Revolutionize Your Web Experience

Free
View