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Alex_Plug_In
Alex_Plug_In에는 fabioc-aloha에서 수집한 skills 204개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Create and maintain ASCII visual dashboards for project tracking with parallel lane progress bars
Store and manage voice samples for TTS cloning — portable, version-controlled audio references
Clear documentation through visual excellence
AI music generation via Replicate — 5 models for background tracks, lyrics, and sound design
Practitioner methodology for longitudinal case study research, evidence-based documentation, and publication-ready academic writing in AI-assisted development.
First impressions matter. Set projects up for success.
Cloud TTS via Replicate — 15 models, voice cloning, emotion control, and multi-language support
AI video generation via Replicate — 17 models, editing, and production workflows
Embed reference media (photos, voice, video templates) as base64 data URIs in skills for self-sufficient, portable, consistent generation
Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and Alex-assisted academic workflows
Comprehensive preparation for doctoral dissertation defense including timeline management, presentation design, Q&A practice, mock sessions, and committee dynamics.
Defend before attackers find the gaps - OWASP, STRIDE, and Microsoft SFI
Create effective skills for AI agents — Azure SDK patterns, progressive disclosure, acceptance criteria, test scenarios
Debug skill/hook/agent loading issues using VS Code's Agent Debug Panel
Design autonomous AI agents that reason, plan, and execute tasks
Generate consistent visual character references across multiple scenarios using Flux and nano-banana-pro on Replicate
Create professional ultra-wide cinematic banners for GitHub READMEs using modern AI image models with typography
Help writers produce content that sounds genuinely human by avoiding telltale AI-generated text patterns
Domain knowledge for AI adoption measurement, psychometric instrument development, and appropriate reliance research
Estimate task duration from an AI-assisted development perspective rather than traditional human developer estimates
Recognize and prevent confabulation — when you don't know, say so.
Design APIs that developers love to use.
Technical documentation, API references, user guides, and docs-as-code workflows.
Calibrated human-AI collaboration with creative latitude — trust calibrated to reliability, creativity preserved with validation.
Comprehensive **project** consistency review across code, documentation, diagrams, and configuration
Diagnose cognitive architecture health — synapse integrity, memory balance, connection density, and drift detection
Meta-skill for maintaining and evolving Alex's cognitive architecture through deliberate documentation and pattern extraction.
Proactive detection, self-correction, and epistemic vigilance
Well-Architected Framework principles and Azure best practices
Production deployment patterns for Azure Static Web Apps, Container Apps, App Service, and infrastructure
CI/CD pipelines, infrastructure as code, and deployment automation for Azure workloads
Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization
Azure Verified Modules (AVM), Bicep best practices, and MCP-powered infrastructure as code for Azure
Markdown-to-PDF pipeline via Pandoc and LuaLaTeX with emoji rendering, dual output, and print-ready formatting
Domain-agnostic knowledge acquisition — from zero to structured expertise through conversational learning
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Brand hierarchy, visual identity, asset deployment, platform-specific branding guidelines
Patterns for requirements elicitation, BRDs, process analysis, and stakeholder alignment.
Resume crafting, interview preparation, job search strategy, and professional growth planning.
Patterns for organizational change, ADKAR methodology, stakeholder engagement, and adoption strategies.