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

mcp-development

**Domain**: AI Infrastructure

Idioma del texto original: inglés

md-scaffold

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

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md-to-eml

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

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md-to-html

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

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md-to-word

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

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meditation

Knowledge consolidation — transform session learnings into permanent architecture

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meeting-efficiency

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

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memory-activation

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

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memory-curation

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

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memory-export

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

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microsoft-fabric

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

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microsoft-graph-api

Comprehensive Microsoft Graph API reference for M365 service integration

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msal-authentication

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

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multi-agent-orchestration

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

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muscle-memory-recognition

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

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music-generation

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

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nav-inject

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

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north-star

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

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observability-monitoring

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

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performance-profiling

CPU, memory, network bottleneck analysis — systematic performance investigation

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persona-detection

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

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pii-privacy-regulations

Handling personally identifiable information under European and Australian privacy regulations.

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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…

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pptx-generation

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

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presentation-tool-selection

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

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privacy-responsible-ai

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

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proactive-assistance

Anticipate user needs and offer help before being asked

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project-deployment

Universal deployment patterns for any project type.

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project-management

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

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project-registration

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

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project-risk-analysis

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

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project-scaffolding

First impressions matter. Set projects up for success.

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project-taglines

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

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prompt-builder

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

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prompt-engineering

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

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prompt-evolution-system

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

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rag-architecture

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

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ralph-loop

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

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react-vite-performance

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

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refactoring-patterns

Safe transformations — same behavior, better structure.

Idioma del texto original: inglés