Diagnose cognitive architecture health — connection integrity, memory balance, link density, and drift detection
原文の言語: 英語
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このリポジトリの skills
SkillsMP は fabioc-aloha/ChessCoach から 280 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/ChessCoach収集済み skill 280 件中 40 件を表示しています。
Diagnose cognitive architecture health — connection integrity, memory balance, link density, and drift detection
原文の言語: 英語
Create and maintain ASCII visual dashboards for project tracking with parallel lane progress bars
原文の言語: 英語
Store and manage voice samples for TTS cloning — portable, version-controlled audio references
原文の言語: 英語
Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization
原文の言語: 英語
Azure Verified Modules (AVM), Bicep best practices, and MCP-powered infrastructure as code for Azure
原文の言語: 英語
Write Alex blog posts from recent brain changes, commits, and experiences. Use when asked to write a blog post, generate a blog article, or when scheduled for automated blog creation.
原文の言語: 英語
Markdown-to-PDF pipeline via Pandoc and LuaLaTeX with emoji rendering, dual output, and print-ready formatting
原文の言語: 英語
Domain-agnostic knowledge acquisition — from zero to structured expertise through conversational learning
原文の言語: 英語
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原文の言語: 英語
Brand hierarchy, visual identity, asset deployment, platform-specific branding guidelines
原文の言語: 英語
Generate visually consistent character images across different life stages using nano-banana-pro with age-specific prompts
原文の言語: 英語
Read any chart (image, HTML, screenshot) and extract insights, patterns, anomalies, bias, and narrative -- the reverse of visualization
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
Test harness for validating converter outputs with 284 assertions across all converter muscles
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
Challenge what you think is right — alternative hypotheses, missing data, evidence quality, bias detection, falsifiability, and adversarial review
原文の言語: 英語
Dashboard layout patterns, KPI card design, filter architecture, narrative flow through panels, and self-contained HTML generation
原文の言語: 英語
Exploratory data analysis patterns -- profiling, distributions, correlations, segmentation, anomaly detection, and translating statistics into narrative insights
原文の言語: 英語
Data pipeline quality assurance — anomaly detection, schema drift, null ratio monitoring, freshness checks, and safe-write protection for reliable data engineering
原文の言語: 英語
End-to-end data narrative construction -- three-act structure, Knaflic/Duarte methodology, audience-first framing, and orchestration across analysis, visualization, and dashboard skills
原文の言語: 英語
Systematic problem-solving and error analysis.
原文の言語: 英語
Documentation hygiene — anti-drift rules, count elimination, and living document maintenance
原文の言語: 英語
Architecture maintenance, connection validation, automated health diagnostics, and unconscious processing
原文の言語: 英語
Cross-domain early-filtering paradigm for reducing cognitive and computational load in data pipelines, AI context, and human attention
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
Seamless notebook publishing from VS Code to Microsoft Fabric via Azure DevOps Git integration
原文の言語: 英語
Keep heir projects synchronized with Master Alex brain updates — audit drift, upgrade brains, verify deployments
原文の言語: 英語
Train and manage custom FLUX LoRA fine-tunes on Replicate for consistent brand character imagery
原文の言語: 英語
Microsoft Foundry agent deployment, orchestration, and cloud-native AI service patterns
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
Generate professional presentations using the Gamma API with expert storytelling consulting based on Duarte methodology.
原文の言語: 英語
Cross-project knowledge search, pattern recognition, and insight management via unified AI-Memory
原文の言語: 英語
Health Pulse data model, status rules, scoring algorithms, and thresholds — the canonical source the extension consumes
原文の言語: 英語
Clinical terminology, healthcare compliance (HIPAA/HITECH), patient safety, and health data management.
原文の言語: 英語
Post-Initialize wizard that tailors Alex's cognitive architecture to a specific heir project through interactive 10-phase configuration
原文の言語: 英語
Submit feedback, bug reports, and feature requests from heir projects to Master Alex via AI-Memory/feedback/
原文の言語: 英語
Investigate build failures, test errors, runtime crashes, or unexpected behavior through systematic minimal reproduction, multi-hypothesis testing, and evidence-based verification. Use when asked to "debug", "investigate a failure", "find root cause",…
原文の言語: 英語
Customize Alex's identity in copilot-instructions.md for a specific heir project — replace generic brain with project-specific persona
原文の言語: 英語
Right format, right size, right quality — plus AI image generation via Replicate
原文の言語: 英語
Amazon KDP self-publishing specs — cover requirements, interior formatting, spine formulas, ink options, and pricing tiers
原文の言語: 英語