Optimal workspace setup for productivity.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は fabioc-aloha/Alex_Plug_In から 204 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
fabioc-aloha/Alex_Plug_In収集済み skill 204 件中 40 件を表示しています。
Optimal workspace setup for productivity.
原文の言語: 英語
Reusable patterns for VS Code extension development.
原文の言語: 英語
Detect burnout signals and proactively support sustainable productivity.
原文の言語: 英語
Brief description of what this skill provides
原文の言語: 英語
Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and Alex-assisted academic workflows
原文の言語: 英語
Create perfectly aligned ASCII diagrams using the hybrid character strategy.
原文の言語: 英語
Well-Architected Framework principles, reference architectures, and best practices for cloud-native solutions
原文の言語: 英語
CI/CD pipelines, infrastructure as code, and deployment automation for Azure workloads
原文の言語: 英語
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原文の言語: 英語
Clear documentation through visual excellence
原文の言語: 英語
Intelligent project persona identification using priority chain detection with LLM and heuristic fallback
原文の言語: 英語
Alex project management patterns: rapid AI-assisted iteration, meditation-based retrospectives, session-focused work, and safety-first release gates.
原文の言語: 英語
Scaffolding academic research projects and refactoring existing ones for Alex-assisted workflows
原文の言語: 英語
Defend before attackers find the gaps - OWASP, STRIDE, and Microsoft SFI
原文の言語: 英語
Cloud TTS via Replicate for narration, audiobooks, voice cloning, and content creation
原文の言語: 英語
Embed reference media (photos, voice, video templates) as base64 data URIs in skills for self-sufficient, portable, consistent generation
原文の言語: 英語
Validate VS Code extension manifest against runtime code usage
原文の言語: 英語
Design well-architected Azure cloud systems — 10 design principles, 6 architecture styles, 44 design patterns, technology choices, WAF pillars
原文の言語: 英語
Build applications powered by GitHub Copilot using the Copilot SDK — session management, custom tools, streaming, hooks, MCP servers, BYOK, deployment patterns
原文の言語: 英語
Microsoft Entra Agent ID (preview) — create OAuth2-capable AI agent identities via Microsoft Graph beta API
原文の言語: 英語
Review and create distinctive frontend interfaces — design system compliance, three quality pillars (Frictionless, Quality Craft, Trustworthy), accessibility
原文の言語: 英語
Build MCP servers for LLM tool integration — Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK)
原文の言語: 英語
Iterative quality improvement — generate, evaluate, feedback, re-generate until threshold met
原文の言語: 英語
Create effective skills for AI agents — Azure SDK patterns, progressive disclosure, acceptance criteria, test scenarios
原文の言語: 英語
Generate structured project status reports with RAG ratings, risk tracking, and action items for stakeholder communication.
原文の言語: 英語
Design agendas, enforce time boxes, capture decisions, and recommend async alternatives to reduce meeting overhead.
原文の言語: 英語
Identify PII risks and apply GDPR and Australian Privacy Principle safeguards to code, data pipelines, and documentation.
原文の言語: 英語
Facilitate blameless incident reviews that find systemic root causes, capture action items, and prevent recurrence.
原文の言語: 英語
Build structured expertise on any unfamiliar topic through progressive discovery, from high-level overview to deep understanding.
原文の言語: 英語
Create business requirement documents, process analyses, SWOT assessments, and stakeholder alignment plans for structured decision-making.
原文の言語: 英語
Plan organizational change initiatives using ADKAR methodology with adoption strategies, resistance handling, and communication planning.
原文の言語: 英語
Structure coaching conversations using the GROW model with developmental feedback frameworks and active listening techniques.
原文の言語: 英語
Analyze datasets by profiling, finding distributions and correlations, detecting anomalies, and translating statistics into actionable business insights.
原文の言語: 英語
Build data narratives using three-act structure and audience-first framing to turn analysis into compelling arguments that drive decisions.
原文の言語: 英語
Gather and structure knowledge before producing deliverables using 4-dimension gap analysis to ensure thorough understanding first.
原文の言語: 英語
Detect scope creep, define MVPs, manage project boundaries, and prioritize work to keep initiatives focused and on track.
原文の言語: 英語
Design impactful presentation slides using visual hierarchy, minimal text patterns, and data visualization principles.
原文の言語: 英語
Map stakeholder influence, plan communication strategies, manage expectations, and handle resistance across complex organizations.
原文の言語: 英語
Produce authentically human writing by detecting and eliminating telltale AI-generated text patterns from all outputs.
原文の言語: 英語
Read any chart or data visualization, extract insights, detect patterns and anomalies, check for bias, and construct a narrative.
原文の言語: 英語