fabioc-aloha/alex-cognitive-architecture - Page 4

mcp-development

**Domain**: AI Infrastructure

md-scaffold

Scaffold properly structured Markdown files from templates for clean first-pass conversion

md-to-eml

Convert Markdown to RFC 5322 email (.eml) with inline CSS and CID images

md-to-html

Convert Markdown to standalone HTML pages with embedded CSS, images, and Mermaid diagrams

md-to-word

Convert Markdown with Mermaid diagrams and SVG illustrations to professional Word documents

meditation

Knowledge consolidation — transform session learnings into permanent architecture

meeting-efficiency

Agenda design, time boxing, decision capture, async alternatives, and productive facilitation

memory-activation

Internal metacognitive skill for automatic capability and workflow discovery — combines skill routing and prompt retrieval

memory-curation

Monitor, audit, and curate VS Code user memory (/memories/) for token efficiency, scope correctness, and value density

memory-export

Export all cognitive memory to a portable file for porting Alex to other AI work surfaces

microsoft-fabric

Microsoft Fabric workspace management, governance, REST API patterns, and medallion architecture implementation

microsoft-graph-api

Comprehensive Microsoft Graph API reference for M365 service integration

msal-authentication

Microsoft Authentication Library (MSAL) patterns for React/SPA applications with Entra ID

multi-agent-orchestration

Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis

muscle-memory-recognition

Identify opportunities to build automation scripts (muscles) from repetitive or heavy-lifting tasks

music-generation

AI music generation via Replicate — 5 models for background tracks, lyrics, and sound design

nav-inject

Inject cross-document navigation tables into multi-file Markdown documentation suites

north-star

Project vision alignment, mission definition, and quality standards — the guiding goal that shapes every decision

observability-monitoring

Production visibility through logs, metrics, traces, and alerting — the three pillars of observability

performance-profiling

CPU, memory, network bottleneck analysis — systematic performance investigation

persona-detection

Intelligent project persona identification using priority chain detection with LLM and heuristic fallback

pii-privacy-regulations

Handling personally identifiable information under European and Australian privacy regulations.

postmortem

Write a postmortem for a regression or incident that escaped to production, broke real users, and traces back to a design flaw worth documenting. Use when asked to "write a postmortem", "document an incident", "analyze a production failure", "root cause…

pptx-generation

Programmatic PowerPoint creation via PptxGenJS with data-driven slides and Markdown conversion

presentation-tool-selection

Best practice decision matrix for choosing between Marp, Gamma, and PptxGenJS based on use case requirements.

privacy-responsible-ai

Privacy by design, data protection, and responsible AI principles.

proactive-assistance

Anticipate user needs and offer help before being asked

project-deployment

Universal deployment patterns for any project type.

project-management

Alex project management patterns: rapid AI-assisted iteration, meditation-based retrospectives, session-focused work, and safety-first release gates.

project-registration

Register projects in the fleet registry and track cross-project patterns

project-risk-analysis

Systematic methodology for identifying, categorizing, and mitigating software project risks before implementation

project-scaffolding

First impressions matter. Set projects up for success.

project-taglines

Generate and configure project-specific taglines for the Alex sidebar banner

prompt-builder

Create and validate .prompt.md files that pass brain-qa on first attempt

prompt-engineering

Craft effective prompts that get the best results from language models.

prompt-evolution-system

Externalized prompt store, A/B testing, metrics-driven evolution, quality gates, and auto-rollback

rag-architecture

Build retrieval-augmented generation systems that ground LLMs in your data.

ralph-loop

Iterative quality improvement — generate, evaluate, feedback, re-generate until threshold met

react-vite-performance

React + Vite performance optimization — code splitting, lazy loading, bundle analysis, Web Vitals, and modern React patterns for fast web applications

refactoring-patterns

Safe transformations — same behavior, better structure.