alex-global-knowledge-skill

name	alex-global-knowledge-skill
description	Skill for alex global knowledge skill Use when this capability is needed.
metadata	{"author":"fabioc-aloha"}

Alex Global Knowledge Skill

Expert in cross-project knowledge search, pattern recognition, and insight retrieval.

Capabilities

• Search knowledge learned across ALL projects
• Find reusable patterns and solutions
• Retrieve insights from past experiences
• Connect current problems to prior solutions
• Save new insights for future projects

When to Use This Skill

• User asks about patterns or "how I did this before"
• Looking for solutions tried in other projects
• Searching for reusable code patterns
• Saving valuable learnings for future use
• Asking about cross-project experience

Example Prompts

• "Have I solved this error before?"
• "Search my knowledge for authentication patterns"
• "What do I know about rate limiting?"
• "Save this insight for future projects"
• "Find patterns related to caching"

Input Expectations

• Search query or topic
• Type filter: pattern (reusable) or insight (specific learning)
• Category filter (optional): error-handling, api-design, testing, etc.
• Tags filter (optional): technology-specific tags

Output Format

• Matching patterns/insights with relevance
• Source project information
• Application suggestions for current context
• Related knowledge recommendations

Knowledge Types

Patterns (GK-*)

Reusable, generalizable solutions that apply across projects:

• Design patterns
• Error handling strategies
• API conventions
• Testing approaches

Insights (GI-*)

Specific learnings from particular situations:

• Debugging breakthroughs
• Configuration discoveries
• Performance fixes
• Integration solutions

Related Skills

• Meditation - Save insights after sessions
• Architecture Health - Check knowledge health
• Bootstrap Learning - Build new knowledge

Memory System Differentiation (VS Code 1.109+)

Alex uses two complementary memory systems. Use the right one for the right data:

Copilot Memory (GitHub Cloud)

Cloud-synced preferences and personal context. Use for:

Data	Example	Why Cloud
Preferences	"Use 4 spaces, dark mode"	Same across all machines
Coding Style	"Prefer functional components"	Consistent patterns
Learning Goals	"Master K8s by March"	Personal growth tracking
Session Notes	"Finish auth tests tomorrow"	Cross-session reminders

Characteristics:

• ☁️ Syncs across all machines automatically
• 👤 Personal to GitHub account
• 🔒 Encrypted at rest
• 💬 Accessible via natural language in chat

Global Knowledge (~/.alex/)

Local domain knowledge and project learnings. Use for:

Data	Example	Why Local
Domain Expertise	"How OAuth2 works in our system"	Project-specific, detailed
Patterns (GK-*)	"Rate limiting implementation"	Searchable, categorized
Insights (GI-*)	"Fixed N+1 query with eager load"	Timestamped learnings
Session History	Episodic meditation records	Full context preserved

Characteristics:

• 💾 Local storage, you control the data
• 🔍 Full-text searchable via MCP tools
• 📁 Organized in patterns/ and insights/
• 🔗 Synaptic connections between items

Decision Matrix

Question	Copilot Memory	Global Knowledge
Is this personal preference?	✅
Is this project know-how?		✅
Should it sync to new machines?	✅
Does it need full-text search?		✅
Is it a learning goal?	✅
Is it a pattern/solution?		✅

Integration Workflow

User learns something → Is it personal? → Copilot Memory
                     → Is it shareable? → Global Knowledge (GI-*)
                     → Is it reusable?  → Global Knowledge (GK-*)

No duplication: Each piece of information lives in ONE system.

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