Data Science

Systematic codebase exploration using tree-sitter AST analysis and repomix semantic search. Use when: (1) User asks to explore/analyze/find/search codebase, (2) Looking for functions/classes/symbols/patterns, (3) Understanding project structure, (4) Tracing dependencies/usage, (5) ANY code analysis task. CRITICAL: NEVER use basic filesystem tools (find, grep, Glob, Read multiple files) when tree-sitter MCP or repomix tools are available.

Intelligent MCP server recommendation engine based on quantitative domain analysis. Maps project domains (Frontend %, Backend %, Database %, etc.) to appropriate MCP servers using tier-based priority system (Mandatory > Primary > Secondary > Optional). Performs health checking, generates setup instructions, provides fallback chains. Use when: analyzing project needs, configuring MCPs, checking MCP health, recommending alternatives.

Generate multiple distinct paths or possibilities from a single idea when you need alternatives, want to avoid tunnel vision, or explore different approaches to a problem. Use when: (1) asked to explore alternatives or generate multiple approaches, (2) at a decision point where fundamentally different strategies need mapping before choosing, (3) analysis contains only one solution path but comparison requires distinct options, (4) recommendations emerge from a single direction without validating alternative approaches.

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Preview denmark statistics fact tables and inspect their metadata

Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, measuring portfolio attribution, or identifying value opportunities in fixed income markets.

Analyze and improve Terraform provider test coverage using terraform-plugin-testing v1.13.3+ patterns. Use when (1) analyzing test coverage gaps, (2) adding missing tests (drift detection, import, idempotency), (3) converting legacy patterns to modern state checks, (4) tracking optional field coverage, (5) verifying test quality, or (6) validating example accuracy. Supports automated coverage analysis, guided pattern improvements, and example testing.

Production-grade skill for algorithm design and data structure implementation in C++. Covers complexity analysis, sorting, searching, graphs, dynamic programming, and STL algorithm mastery.

Archives completed FABER workflow state and artifacts to cloud storage for historical tracking and analysis

Create comprehensive bidirectional requirements traceability matrix mapping acceptance criteria → implementation → tests with gap analysis, severity ratings, and coverage assessment. Maps each AC to implementation evidence (files, functions, code snippets) and test coverage (test files, scenarios, priorities). Use during quality review or for compliance audits to verify complete requirements coverage.

Systematic debugging methodology emphasizing root cause analysis over quick fixes. Use when debugging complex issues, investigating production failures, or avoiding symptom-based patches in favor of understanding underlying problems.

Analyzes impact of proposed changes on existing systems (brownfield projects) with delta spec validation. Trigger terms: change impact, impact analysis, brownfield, delta spec, change proposal, change management, existing system analysis, integration impact, breaking changes, dependency analysis, affected components, migration plan, risk assessment, brownfield change. Provides comprehensive change analysis for existing systems: - Affected component identification - Breaking change detection - Dependency graph updates - Integration point impact - Database migration analysis - API compatibility checks - Risk assessment and mitigation strategies - Migration plan recommendations Use when: proposing changes to existing systems, analyzing brownfield integration, or validating delta specifications.

Expert guide for LayerChart, a Svelte component library for building diverse data visualizations (Cartesian, radial, hierarchical, geo, graph) with unopinionated building blocks, motion primitives, and advanced interactions.

Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.

Generate and validate Mermaid architecture diagrams. Triggers when user requests diagram generation, Mermaid validation, or architecture visualization. Uses mmdc CLI (mermaid-cli v11.12.0).

Master tidy modelling patterns for ITC analyses following TMwR principles. Covers workflow structure, consistent interfaces, reproducibility best practices, and data validation. Use when setting up ITC analysis projects or building pipelines.

Summarize today's git commits as a narrative story with parallel agent analysis.Invoked with /sumgit. Deploys Explore agents to analyze workstreams and tellthe story of your day's work.

Deep methodology knowledge for network meta-analysis including transitivity, consistency assessment, treatment rankings, and model selection. Use when conducting or reviewing NMA.

Complete investment evaluation with financial modeling, scenario planning, and risk assessment. Use when evaluating equity investments, growth capital opportunities, acquisition targets, or portfolio companies. Supports venture, growth equity, and buyout analyses with multi-scenario modeling, returns analysis, comparable company benchmarking, and IC memo generation. Automatically pulls data from financial platforms and generates institutional-grade Excel models with working formulas.

Master data science fundamentals. Learn Python for data, statistics, pandas, data visualization, and exploratory data analysis.