Data Science

Comprehensive security audit with OWASP Top 10 analysis, compliance evaluation, and threat modeling using PAL MCP. Use for security reviews, vulnerability assessment, or compliance checks. Triggers on security audit requests, vulnerability scanning, or compliance reviews.

Identify which standards are covered vs. missing, analyze depth of coverage for each standard, prioritize uncovered standards, and recommend content to fill gaps. Use when auditing curriculum coverage. Activates on "gap analysis", "standards gaps", or "coverage audit".

Expert interior designer with deep knowledge of space planning, color theory (Munsell, NCS), lighting design (IES standards), furniture proportions, and AI-assisted visualization. Use for room layout optimization, lighting calculations, color palette selection for interiors, furniture placement, style consultation. Activate on "interior design", "room layout", "lighting design", "furniture placement", "space planning", "Munsell color". NOT for exterior/landscape design, architectural structure, web/UI design (use web-design-expert), brand color theory (use color-theory-palette-harmony-expert), or building codes/permits.

Analyze the impact of code changes by mapping call graphs and identifying all direct and indirect dependencies. Use when users ask about blast radius analysis, code change impact, who calls a function, downstream dependencies, or risk assessment before refactoring. Traces call chains, identifies high-risk modules, and provides ranked impact analysis.

Production-ready security analysis with CMMC Level 2 compliance. USE WHEN user needs vulnerability scanning, STRIDE threat modeling, security code review, CMMC compliance mapping, or multi-agent security analysis. Detects 50+ vulnerability patterns with remediation guidance.

Set-theoretic operations for finding unique elements, membership testing, and array intersections. Triggers: unique, isin, intersect1d, setdiff1d, union1d.

Implement autonomous KB query functionality with SQL and ChromaDB tools for financial data analysis

This skill should be used when the user asks to "review the analysis", "check methodology", "validate results", or as Phase 4 of the /ds workflow. Reviews methodology, data quality, and statistical validity.

Craft Instagram feed posts (Reels, carousels, single images) optimized for the December 2025algorithm. Use when creating content for Instagram feed, adapting newsletter content for IG,planning Reels hooks, or deciding between formats. Includes algorithm signals, format selectionmatrix, data visualization/infographic best practices, and Spanish-language patterns for LATAM.

Create high-quality, progressive learning tutorials for VRP Toolkit. Use when the user requests creating tutorials, educational content, or learning materials for any VRP toolkit feature (problem creation, algorithm implementation, data generation, visualization, etc.). This skill ensures tutorials follow best learning practices with progressive disclosure, hands-on examples, and clear explanations.

Scan and catalog document collections with metadata extraction, categorization, and statistics. Use for auditing document libraries, preparing for knowledge base creation, or understanding large file collections.

Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.

Generate pedagogically-aligned slide decks from educational content using NotebookLM.Use when creating chapter slide presentations with proficiency-calibrated prompts.NOT for static slides or non-educational presentations.

WHEN: Database schema review, table design, normalization, constraints, index planningWHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship designWHEN NOT: Query optimization → sql-optimizer, ORM code → orm-reviewer

Expert photography composition critic grounded in graduate-level visual aesthetics education, computational aesthetics research (AVA, NIMA, LAION-Aesthetics, VisualQuality-R1), and professional image analysis with custom tooling. Use for image quality assessment, composition analysis, aesthetic scoring, photo critique. Activate on "photo critique", "composition analysis", "image aesthetics", "NIMA", "AVA dataset", "visual quality". NOT for photo editing/retouching (use native-app-designer), generating images (use Stability AI directly), or basic image processing (use clip-aware-embeddings).

Validates complete requirements traceability across EARS requirements → design → tasks → code → tests.Trigger terms: traceability, requirements coverage, coverage matrix, traceability matrix,requirement mapping, test coverage, EARS coverage, requirements tracking, traceability audit,gap detection, orphaned requirements, untested code, coverage validation, traceability analysis.Enforces Constitutional Article V (Traceability Mandate) with comprehensive validation:- Requirement → Design mapping (100% coverage)- Design → Task mapping- Task → Code implementation mapping- Code → Test mapping (100% coverage)- Gap detection (orphaned requirements, untested code)- Coverage percentage reporting- Traceability matrix generationUse when: user needs traceability validation, coverage analysis, gap detection,or requirements tracking across the full development lifecycle.

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.

Discrete Fourier Transform routines for spectral analysis, signal filtering, and frequency-domain operations. Triggers: fft, fourier transform, spectral analysis, rfft, fftshift, ifft.

Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dependencies, or improve code quality.

Use when creating or editing marimo reactive Python notebooks. Covers cell structure, UI elements (mo.ui), reactivity, SQL integration, markdown, and deployment as apps. Triggers on .py notebook creation, marimo edit/run commands, reactive notebook development, or interactive data exploration. Extends python-development skill.