Data Science

Capture content from JavaScript-rendered pages, login-protected sites, and multi-page documentation using Playwright MCP tools or Claude Chrome extension. Use when WebFetch fails on SPAs, dynamic content, or auth-required pages. Integrates with SkillForge's analysis pipeline for automatic content processing.

This skill should be used when analyzing the Breenix kernel boot sequence, verifying initialization order, timing boot stages, identifying boot failures, optimizing boot time, or understanding the boot process from bootloader handoff to kernel ready state.

Systematic debugging with defense-in-depth approach (symptoms → immediate cause → root cause → systemic issues → prevention). Auto-activates when user mentions "error", "failing", "broken", "debug", "bug", "issue" or when /ccpm:verify runs. Uses Observe → Hypothesize → Test → Confirm → Fix → Verify → Document workflow. Updates Linear with findings and automatically logs blockers that require external fixes. Traces root causes instead of patching symptoms. Integrates with ccpm-code-review to verify fixes pass all gates before marking complete. Suggests binary search for intermittent issues and five-whys analysis for complex problems.

Extracts system architecture and creates data flow documentation (Stages 1, 2, 6). Focuses on source traceability and accurate information extraction. Does NOT perform security analysis or quality validation.

Provides AI consultation workflows, prompt templates, and best practices for multi-model consultation. Use when user asks for "second opinion", "ask codex", "ask gemini", "AI code review", "external AI consultation", or needs prompt templates for code review, security audit, or architecture analysis.

Execute comprehensive test suite (Vitest/Jest) with coverage reporting and failure analysis. Returns structured output with test counts (total/passed/failed), coverage percentage, duration, and detailed failure information. Used for quality gates and CI/CD validation.

Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.

Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.

Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Execute comprehensive test suite with validation, coverage reporting, and failure analysis. Works with any TypeScript/JavaScript testing framework (Jest, Vitest, Mocha, etc.). Returns structured output with pass/fail status, coverage metrics, and detailed error analysis.

This skill should be used when analyzing failed GitHub Actions CI/CD runs for Breenix kernel development. Use for diagnosing test failures, parsing QEMU logs, identifying kernel panics or faults, understanding timeout issues, and determining root causes of CI failures.

Jupyter Notebook Expert Skill - Guide for notebook execution and Databricks kernel integration

Provides AI consultation workflows, prompt templates, and best practices for multi-model consultation. Use when user asks for "second opinion", "ask codex", "ask gemini", "AI code review", "external AI consultation", or needs prompt templates for code review, security audit, or architecture analysis.

Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.

Comprehensive quality validation for TypeScript/JavaScript projects - runs TypeScript checks, tests, coverage analysis, build validation, and linting with structured JSON results

Security analysis using STRIDE/ATT&CK/Kill Chain frameworks (Stages 3, 4, 5, 6). Identifies threats, assesses risk, and develops mitigations. Does NOT perform documentation extraction or quality validation.

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Create educational and interactive Jupyter notebooks as SPAs that explain concepts, teach topics, create tutorials, illustrate ideas from text, or build blog posts. Use for interactive guides, demonstrations, explanations, documentation, or any content meant for end users and learners displayed via ipynb-viewer block. Keywords include educational notebook, tutorial notebook, interactive guide, blog notebook, SPA notebook, explain topic, illustrate concept, teach interactively.