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AI Skill
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Product Showcase
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ITI Knowledge System
- Chapter 1: Introduction
- Chapter 10: n8n — Debugging & Operations
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- Chapter 13: The ITI Shared Library
- Chapter 14: WordPress Plugin Development
- Chapter 15: Desktop Apps with Tauri 2
- Chapter 16: Python Services
- Chapter 17: iOS & macOS with Swift
- Chapter 18: Claude & the Anthropic API
- Chapter 19: Prompt Engineering
- Chapter 2: Workspace Overview
- Chapter 20: Agents, Skills & Pipelines
- Chapter 21: Knowledge Bases
- Chapter 22: Safety & Guardrails
- Chapter 23: Build Session Protocol
- Chapter 24: Required Product Artifacts
- Chapter 25: Testing
- Chapter 26: Security Standards
- Chapter 27: Deployment
- Chapter 28: Cursor Skills
- Chapter 29: Cursor Rules
- Chapter 3: The Docker Stack
- Chapter 30: MCP Integrations
- Chapter 31: Builder and Agent Roles
- Chapter 32: Builder's Portfolio
- Chapter 33: Claims Integrity & Content Governance
- Chapter 4: Daily Operations
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AI Agent
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User Guide
- ADMIN-SHORTCODES.html Update Summary
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- Farmers Bounty Plugin v6.6.0 - Release Notes
- Farmers Bounty v2.0 - Complete User Guide
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- SEO Assistant with LLM
- 🌱 Farmers Bounty Homepage Shortcode - Quick Start
- 🌱 Farmers Bounty Shortcodes
- 🌹 Grateful Dead Chatbot - Quickstart Guide ⚡
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Requirements
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ScubaGPT
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Grateful Dead Chatbot
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Farmers Bounty
- 01 current state analysis
- 02 architecture overview
- 03 data sources
- 05 cost analysis
- 06 database schema
- 08 ui ux changes
- 09 ai context optimization
- 10 testing validation
- 11 risk mitigation
- 12 implementation checklist
- ADMIN-SHORTCODES.html Update Summary
- Beneficial Insects Guide for Georgia Gardens
- Botanical Garden Taxonomist
- Farmers Bounty - Quick Start Guide
- Farmers Bounty - Troubleshooting Guide
- Farmers Bounty - User Guide
- Farmers Bounty Chatbot - Complete Documentation
- Farmers Bounty Desktop User Guide
- Farmers Bounty Plugin - Gardener's Review Guide
- Farmers Bounty Plugin v6.6.0 - Release Notes
- Farmers Bounty v2.0 - Complete User Guide
- Farmers Bounty v5.3.0 - Complete User Guide
- Glossary
- Integrated Pest Management (IPM) Specialist
- PRISM ZIP Code → Zone Lookup
- Recipe Formatting
- Research Associate / Lab Technician
- School Programs Specialist
- Seed Bank Curator
- Volunteer Coordinator
- Weather-Disease Modeling
- Wildlife Habitat Certification Guide
- 🌱 Farmers Bounty Homepage Shortcode - Quick Start
- 🌱 Farmers Bounty Shortcodes
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Technical Document
- Accessibility Design
- Agentic Task Execution
- AI Candor Probe
- AI Coworker Trust Protocol
- AI Inference Boundary Review
- AI Vision Diagnosis
- Antigravity Browser QA
- Antigravity Parallel Debug
- Antigravity Test Orchestration
- AppSec Engineer — IAM Security Specialist
- Chapter 22: Safety & Guardrails
- Chapter 26: Security Standards
- Civic Tech Privacy Architecture
- ClaimReview Schema Integration
- Claims Evidence Registry
- Code Review
- IT Influentials Express Agents Product Showcase
- Java Development
- MCP Client for Tauri
- MCP Server Development
- Nginx Reverse Proxy
- Pinecone Embedding Management
- PostgreSQL Administration
- Product Roadmap Update Prompt
- Prompt Auditor
- RabbitMQ Messaging
- Redis Operations
- Release Management
- Retirement Calculator Engine
- Roadmap Build Planning
- Schema Markup Generation
- ScubaGPT — Architecture
- ScubaGPT Safety Guardrails - Quick Reference
- Session Context Protocol
- Stable Diffusion Image Generation
- Tauri Desktop Development
- Tavily & Pinecone Integrations
- Tavily API Quick Reference - Factchecker Plugin
- Tech Debt Analysis
- Test Plan Writing
- Travel Planner — n8n + Dify Integration Guide
- UI Design
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- WordPress Plugin Clone Safety Checker Showcase
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Answer Engine Optimizer
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SEO Optimizer
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Travel Planner
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Fact Checker
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Estate Manager
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ITI Operations
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- Accessibility Design
- Advisor Action Framework
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- AI Candor Probe
- AI Content Authenticity Detection
- AI Coworker Trust Protocol
- AI Inference Boundary Review
- AI Project Showcase Skill
- AI Self-Report Calibration
- Antigravity Browser QA
- Antigravity Parallel Debug
- Antigravity Test Orchestration
- Apple Human Interface Design System
- AppSec Engineer — API Security Specialist
- AppSec Engineer — DevSecOps Specialist
- Chapter 32: Builder's Portfolio
- CloudKit + Tauri Debugging
- Code Review
- Content Strategy
- Customer Journey Methodology
- Customer Support
- Data Interpretation
- Dependency Hygiene
- End-User Documentation Requirements Document
- Farmers Bounty Plugin - Gardener's Review Guide
- Generative Engine Optimization
- Guided Content Journeys
- Influencer Marketing
- Infrastructure Upgrades
- Interaction Design
- IT Influentials Agent POC Product Showcase
- IT Influentials Agent Product Showcase
- IT Influentials Express Agents Product Showcase
- ITI Audience Development
- ITI Consulting Intake
- ITI Financial Modeling
- ITI Quality Assurance
- ITI Report Synthesis
- ITI Strategic Planning
- ITI Token Compression Skill
- Market Research
- MCP Server Development
- Multi-Agent Deliberation Design
- Multilingual Content Management
- n8n Debugging
- n8n Workflow Development
- Pinecone Embedding Management
- Privacy Compliance
- Product Roadmap Update Prompt
- Project Management
- Prompt Auditor
- Proposal Evaluation
- Redis Operations
- Release Management
- Requirements Writing
- Roadmap Build Planning
- Safety Guardrails
- Scope Control
- Screenshot Capture Guide
- Stable Diffusion Image Generation
- Tavily & Pinecone Integrations
- Technical Writing
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- Wordpress Plugin Install Safety Features
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ITI Marketing
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Patriot University
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Personal Assistant
Guided Content Journeys
name: guided-content-journeys
description: Design structured guided exploration paths through large content domains. Curated multi-step journeys with progression, prerequisites, discovery prompts, and completion tracking. Use when designing learning paths, building curated exploration sequences, creating progressive content discovery, or structuring onboarding through a complex knowledge domain.
Guided Content Journeys
Instructions
Design structured exploration paths that guide users through large content domains in a logical, progressive sequence. Journeys transform overwhelming content libraries into curated, completable experiences.
1. Journey Architecture
Define the structural model for journeys:
- Journey: A named, themed path through 5-15 steps covering a coherent topic
- Step: A single content interaction — read, watch, explore, or complete a task
- Milestone: A checkpoint after 3-5 steps that summarizes progress and unlocks the next segment
- Prerequisites: Steps or journeys that must be completed before starting
- Branching: Optional paths within a journey based on user interest or skill level
Data model:
Journey
├── id, title, description, difficulty, estimated_time
├── prerequisites: [journey_id, ...]
├── steps[]
│ ├── id, order, title, content_ref, step_type
│ ├── discovery_prompt (question or challenge)
│ ├── completion_criteria (viewed, answered, time_spent)
│ └── optional: true/false
└── milestones[]
├── after_step, title, summary_prompt
└── unlocks: [journey_id, ...]
2. Journey Design Principles
Follow these when creating journey content:
- Progressive complexity: Start with foundational concepts, build to advanced topics
- Spaced variety: Alternate content types (read, interact, reflect) to maintain engagement
- Achievable steps: Each step should take 2-10 minutes; never exceed 15 minutes
- Clear purpose: Every step has a visible “why” — users should know what they’ll gain
- Discovery prompts: End each step with a question or challenge that connects to the next step
- Exit points: Users can pause and resume without losing progress
3. Step Types
| Type | Description | Completion Criteria |
|---|---|---|
read |
View an article, guide, or reference page | Page viewed for 30+ seconds |
explore |
Browse a collection, map, or gallery | Visited 3+ items in the collection |
interact |
Chat with AI, answer a quiz, complete a form | Submitted a response |
reflect |
Journal prompt or self-assessment | Text entered (minimum 20 characters) |
task |
Complete a real-world action | User marks complete (honor system) |
4. Progression and Tracking
Track user progress through journeys:
- State per user per journey:
not_started,in_progress,completed,abandoned - Step completion: Binary per step, stored with timestamp
- Milestone unlocks: Computed from step completion; triggers notification
- Resume logic: On return, show last incomplete step with context summary
- Completion rate: Track funnel metrics per journey (started → milestone 1 → milestone 2 → completed)
Storage pattern (WordPress):
- User meta:
_journey_progress— serialized array of{journey_id, current_step, completed_steps[], started_at, last_active} - Transient cache for leaderboard-style “users completing this journey” counts
5. Discovery Prompts
Discovery prompts are the connective tissue between steps. They:
- Pose a question that the next step will answer
- Challenge the user to notice something specific in the next content
- Connect the current topic to a broader theme
- Create curiosity gaps that motivate progression
Examples:
- “You’ve learned the basics of coral identification. But how do environmental conditions change what you see? Next, we’ll explore…”
- “Now that you know the Dead’s early sound, what happened when they added a second drummer in 1967?”
- “You’ve mastered the classic French mother sauces. What happens when you break the rules on purpose?”
6. Journey Templates
Provide starter templates for common journey patterns:
Linear journey (beginner): Steps flow A → B → C → D with one milestone at the midpoint.
Branching journey (intermediate): Steps A → B → [choose C1 or C2] → D with branches converging at a shared milestone.
Hub-and-spoke journey (advanced): Central hub topic with 3-5 optional spokes. Complete any 3 spokes to unlock the final synthesis step.
7. Content Domain Mapping
Before building journeys, map the content domain:
- Inventory all available content pieces
- Classify by difficulty (beginner, intermediate, advanced)
- Identify natural prerequisite relationships
- Group into thematic clusters (these become journey candidates)
- Identify gaps where new content is needed to complete a journey
Inputs Required
- Content domain description (what the knowledge base covers)
- Inventory of existing content pieces with difficulty classification
- Target audience personas and their starting knowledge level
- Desired journey length and time commitment
- Product platform (WordPress, Tauri, web app)
- Whether journeys are standalone or integrated with AI chatbot interactions
Output Format
- Journey definition (JSON or structured markdown) with all steps, milestones, and prerequisites
- Discovery prompts for each step
- Data model specification for progress tracking
- Content gap analysis (missing pieces needed to complete the journey)
- Implementation plan for the target platform
Anti-Patterns
- Too many steps: Journeys longer than 15 steps feel like a slog. Split into multiple journeys with prerequisites instead.
- No discovery prompts: Steps without forward-looking prompts feel like a disconnected reading list, not a journey.
- All one content type: Ten “read” steps in a row is a textbook, not a journey. Vary the step types.
- Hidden prerequisites: If a journey requires prior knowledge, make prerequisites explicit and link to them.
- No resume capability: Users who can’t pick up where they left off won’t come back.
- Completion without synthesis: Finishing a journey should include a summary or reflection step, not just “you’re done.”
- Designing journeys without content inventory: Building journey structures before knowing what content exists leads to aspirational paths full of gaps.
