Data Science
1726 skills in Data & AI > Data Science
mcp-discovery
Intelligent MCP server recommendation engine based on quantitative domain analysis. Maps projectdomains (Frontend %, Backend %, Database %, etc.) to appropriate MCP servers using tier-basedpriority system (Mandatory > Primary > Secondary > Optional). Performs health checking, generatessetup instructions, provides fallback chains. Use when: analyzing project needs, configuring MCPs,checking MCP health, recommending alternatives.
exploration-branch
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.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
tables
Preview denmark statistics fact tables and inspect their metadata
bond-benchmarking
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.
terraform-provider-tests
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.
algorithms
Production-grade skill for algorithm design and data structure implementation in C++. Covers complexity analysis, sorting, searching, graphs, dynamic programming, and STL algorithm mastery.
archive-workflow
Archives completed FABER workflow state and artifacts to cloud storage for historical tracking and analysis
trace-requirements
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
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.
change-impact-analyzer
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 recommendationsUse when: proposing changes to existing systems, analyzing brownfield integration,or validating delta specifications.
layerchart
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.
grafana-billing
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
mermaid-diagram
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).
security-prompts-threat-modeling
Security analysis and threat modeling prompt templates for STRIDE analysis, code review, OWASP compliance, and vulnerability assessment. Use for security planning, pre-deployment reviews, and ongoing threat assessment. Triggers include "STRIDE", "threat model", "security review", "code review", "OWASP", "payment security", "security analysis", "vulnerability assessment".
sumgit
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.
nma-methodology
Deep methodology knowledge for network meta-analysis including transitivity, consistency assessment, treatment rankings, and model selection. Use when conducting or reviewing NMA.
investment-analysis
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.
data-fundamentals
Master data science fundamentals. Learn Python for data, statistics, pandas, data visualization, and exploratory data analysis.
skill-refinement
Feedback-driven skill improvement through tool outcome analysis. Collects executiondata and surfaces insights for skill refinement. Use this skill when you want to:- Understand how skills are performing ("show skill feedback", "how are skills doing")- Get insights on skill effectiveness ("skill insights", "what skills need improvement")- Identify skills that need improvement ("which skills have errors")- Analyze tool usage patterns ("what tools are failing", "error hotspots")- Set up feedback collection ("enable feedback", "setup feedback tracking")