Cross-project pattern recognition — abstract, generalize, connect, store at the highest true level
Skills in this repository
fabioc-aloha/ChessCoach - Page 7
SkillsMP has collected 280 skills from fabioc-aloha/ChessCoach. Open a skill to review its source and details.
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KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo,…
Choosing the right model for the task — power vs. cost vs. speed.
Hybrid dream-meditation protocol — conscious decisions during automated processing
Clear documentation through visual excellence
Build MCP servers for LLM tool integration — Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK)
**Domain**: AI Infrastructure
Knowledge consolidation — transform session learnings into permanent architecture
Internal metacognitive skill for automatic capability and workflow discovery — combines skill routing and prompt retrieval
Export all cognitive memory to a portable file for porting Alex to other AI work surfaces
Microsoft Fabric workspace management, governance, REST API patterns, and medallion architecture implementation
Comprehensive Microsoft Graph API reference for M365 service integration
Microsoft Authentication Library (MSAL) patterns for React/SPA applications with Entra ID
Identify opportunities to build automation scripts (muscles) from repetitive or heavy-lifting tasks
Inject cross-document navigation tables into multi-file Markdown documentation suites
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…
Programmatic PowerPoint creation via PptxGenJS with data-driven slides and Markdown conversion
Alex project management patterns: rapid AI-assisted iteration, meditation-based retrospectives, session-focused work, and safety-first release gates.
Systematic methodology for identifying, categorizing, and mitigating software project risks before implementation
Generate and configure project-specific taglines for the Alex sidebar banner
Create and validate .prompt.md files that pass brain-qa on first attempt
React + Vite performance optimization — code splitting, lazy loading, bundle analysis, Web Vitals, and modern React patterns for fast web applications
Build knowledge bases that build software — research before code, teach before execute
Secure token storage, VS Code SecretStorage API, credential management, environment variable migration
Analyze codebase architecture to generate a STRIDE-based threat model with data flow diagrams, trust boundaries, prioritized threats, and mitigations. Compatible with Microsoft Threat Modeling Tool concepts. Use when asked to "threat model", "security…
Comprehensive cognitive self-assessment — honest evaluation of architecture health, growth, and optimization opportunities
Progressive Web App offline-first patterns — Service Worker lifecycle, caching strategies, background sync, and offline fallbacks for resilient web applications
Customize the Alex sidebar — Loop tab buttons, Autopilot tasks, and project-specific workflows
Create effective, reusable skills from real-world experience for promotion to Master Alex
Create effective skills for AI agents — Azure SDK patterns, progressive disclosure, acceptance criteria, test scenarios
Track desired capabilities and proactively acquire them through user collaboration
Systematic technical debt inventory and prioritization. Use when asked to "find tech debt", "show me the TODOs", "how healthy is this codebase", "what should we fix first", "find code smells", "audit code quality", or "identify hotspots". Scans code markers,…
Safe terminal command patterns — backtick escaping, output capture, and hang prevention
Analyze test code quality to detect coverage-only tests, test smells, and low-value assertions. Use when asked to "analyze test quality", "find coverage-only tests", "audit our tests", "are these tests valuable", "find test smells", or "which tests should we…
Cloud TTS via Replicate — 15 models, voice cloning, emotion control, and multi-language support
Audit and eliminate token waste from cognitive architecture memory files -- instructions, prompts, skills, and agents
User interface design, user experience optimization, accessibility compliance, design systems
Finalize brain upgrades by curating project-specific content from .github-backup-* directories
Manage VS Code's global AI configuration — user memories, custom agents, user prompts, and MCP servers
Embed reference media (photos, voice, video templates) as base64 data URIs in skills for self-sufficient, portable, consistent generation