Essential command-line tools and system utilities.
Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation. Use when analyzing code quality, reviewing skill effectiveness, identifying process improvements, extracting patterns, or generating insights from data.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create visualizations, or build predictive models with reproducible, code-based workflows.
Expert technical advisor with deep reasoning for architecture decisions, code analysis, and engineering guidance. Masters complex tradeoffs, system design, security architecture, performance optimization, and engineering best practices. Use when making critical architecture decisions, after implementing significant work, when debugging complex issues, encountering unfamiliar patterns, facing security/performance concerns, or evaluating multi-system tradeoffs. Provides comprehensive analysis with clear recommendations and rationale.
This skill should be used when the user asks about "Tabular Editor documentation", "TE docs", "how to do X in Tabular Editor", "Tabular Editor features", "TE3 features", "C# scripts in Tabular Editor", "DAX scripts", "workspace mode", or needs to search Tabular Editor documentation. Provides efficient local search of TabularEditorDocs repository instead of unreliable web fetching.
This skill should be used when the user asks to "run TabularEditor.exe", "deploy a model via CLI", "use Tabular Editor command line", "set up CI/CD for Power BI", "automate model deployment", "run BPA from command line", "save model as TMDL", "compare model schemas", or mentions TabularEditor.exe flags like -D, -S, -A, -B, -T, -O, -C. Provides CLI syntax reference for Tabular Editor 2/3 deployment, scripting, BPA analysis, and CI/CD integration. Distinct from c-sharp-scripting skill which covers writing script content rather than CLI execution.
Autogenerate formula implementations from formula specifications (F-*). Converts mathematical formulas, calculations, and algorithms into production code with tests. Use when F-* includes formula specifications.
A deep analysis mode for the Google AI (Gemini) to fully deconstruct the codebase and market conditions without editing code.
Create Excel files with multiple sheets and cross-sheet formulas including COUNTIFS, VLOOKUP, and MATCH. Keep source data in one sheet and create summary sheets with formulas referencing the source data.
HTML infographic templates. Use when creating carousel slides or infographics.
Collects, analyzes, and reports software metrics for data-driven decision making and continuous improvement
Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison report.
Orchestre agents TEST/DOC pour validation tâche, calcule score /100, génère 3 rapports, commit auto
Expert on external API integration, backend proxy architecture, backend functions, rate limiting, and data fetching strategies. Use when integrating with external services, designing backend functions, or understanding how data flows from external sources to the database. References docs/06_integration_spec.md.
Forces documentation of the reasoning behind every significant design decision. Creates a decision log that explains WHY choices were made, alternatives considered, and trade-offs accepted. Prevents unjustified "default" choices.
Applies Fabric AI prompt patterns for summarization, analysis, extraction, code review, and content creation. Use when asked to summarize content, analyze documents, extract insights, review code, create documentation, or transform text. Patterns are in data/patterns/.
Presentation-focused Natural Language to SQL app with PPT-style visualizations.
dashboard-builder for measuring learning effectiveness and business impact.
Routes data processing, knowledge graph, and analytics tasks. Triggers on graph, vector, knowledge, ontology, process, batch, etl, database, query, csv, json.
Performance monitoring and optimization. Use when user needs N+1 detection, slow query analysis, memory profiling, or says "performance issue", "slow queries", "N+1 problem", "optimize performance", "memory leak".
Expert Grafana developer specializing in dashboard design, metric visualization, and observability. Masters Prometheus integration, alerting, and time-series data visualization for production monitoring systems.
