jeffabailey

Enforces jeffbaileyblog Hugo Markdown rules by reading and applying AGENTS.md in document order (top to bottom), including nested AGENTS.md and writing-style.md. Use when editing or creating content under the Hugo site (hugo/content/), drafting blog posts, fixing Hugo build errors, or the user says /hugo:agents, "apply AGENTS.md", "Hugo blog rules", or "compliance with hugo AGENTS".

Revises an existing article by integrating new input content from other sources, reviewing flow, weaving new concepts in smoothly, and producing a clear record of what was added and why. Self-contained — no hosted prompt. Use when the user says /write:article-revision, asks to revise or update an article with new material, merge sources into a draft, or fold in new research.

Creates foundational concept articles using the Fundamentals Article Create prompt from jeffbailey.us. Direct shortcut — skips framework selection. Use when the user says /write:fundamentals-article-create.

Reviews articles against the Fundamentals Article Review rubric from jeffbailey.us. Direct shortcut — skips framework detection. Use when the user says /write:fundamentals-article-review.

Validates a Markdown article for the jeffbaileyblog Hugo site by enforcing AGENTS.md + writing-style.md compliance (read top to bottom, including nested AGENTS.md), running a banned-phrase scan, verifying the Hugo build, then running link checking (lychee) and Markdown linting (markdownlint). Use when the user says /write:validate-article or /hugo:agents, wants to validate an article, check article quality, run all checks on a Markdown file, "apply AGENTS.md", "Hugo blog rules", "compliance with hugo AGENTS", drafting blog posts, or fixing Hugo build errors.

Creates Learn X launch-pad articles using the Learn Article Create prompt from jeffbailey.us. Direct shortcut — skips framework selection. Use when the user says /write:learn-article-create.

Reviews Learn X launch-pad articles against the Learn Article Review rubric from jeffbailey.us. Direct shortcut — skips framework detection. Use when the user says /write:learn-article-review.

Creates curated list articles using the A-List Article Create prompt from jeffbailey.us. Direct shortcut — skips framework selection. Use when the user says /write:a-list-article-create.

Analyzes code for algorithm/data structure correctness, concurrency safety, and edge case handling, producing fitness scores (1-10) across algorithm choice, data structure selection, complexity awareness, concurrency safety, edge case handling, and correctness patterns. Use when the user says /review:review-algorithms, requests an algorithm review, asks about correctness of data structure choices, wants a concurrency safety check, asks about edge case coverage, or wants to verify algorithmic complexity. This is NOT a performance review -- it asks "is this correct and appropriate?" not "is this fast enough?" Only reports findings with confidence >= 7/10.

Analyzes code and configuration for production reliability fitness, producing scores (1-10) across observability, availability design, timeout/retry hygiene, CI/CD maturity, incident readiness, capacity planning, and container/deploy hygiene. Use when the user says /review:review-reliability, requests a reliability review, says check observability, asks if the system is production ready, wants a monitoring setup review, asks about CI/CD pipeline quality, or wants an operational readiness assessment. Only reports findings with confidence >= 7/10.

Reviews frontend code for accessibility and usability fitness, scoring across semantic HTML, keyboard navigation, screen reader support, color/contrast, progressive enhancement, responsive design, and usability heuristics. Use when the user says /review:accessibility, requests an accessibility audit, asks for a11y review, wants WCAG compliance check, or needs usability evaluation of frontend code. Only reports findings with confidence >= 7/10.

Analyzes code for software architecture fitness, producing scores (1-10) across coupling, cohesion, layering, modularity, naming, API design, and maintainability. Use when the user says /review:review-architecture, requests an architecture review, asks about coupling and cohesion, wants to analyze design or check code structure, asks to review naming or API design, or needs architecture fitness scores. Triggers on "architecture review", "coupling and cohesion", "analyze design", "check code structure", "review naming", "API design". Only reports findings with confidence >= 7/10.

Analyzes database schema design, migration safety, data integrity, query correctness, data modeling, and pipeline quality, producing fitness scores (1-10) with file:line evidence. Use when the user says /review:review-data, requests a data review, asks about schema design, migration safety, data integrity, query correctness, data modeling, or pipeline quality. Distinct from review-performance (which asks "are queries fast?"); this asks "is the schema correct? are migrations safe? will data integrity hold?" Only reports findings with confidence >= 7/10.

Runs a comprehensive project fitness review combining architecture, security, reliability, testing, performance, algorithms, data, accessibility, process, and maintainability analysis. Use when the user says "full review", "comprehensive review", "project fitness", "review everything", or wants all review skills run on current changes before shipping.

Analyzes code for maintainability, understandability, and simplicity fitness, producing scores (1-10) across structural complexity, comprehensibility, technical debt indicators, coupling/dependency depth, and code smell density. Use when the user says /review:review-maintainability, requests a maintainability review, asks about code complexity or understandability, wants cyclomatic/cognitive complexity analysis, or needs simplicity/maintainability fitness scores. Triggers on "maintainability review", "understandability", "code complexity", "cognitive complexity", "cyclomatic complexity", "simplicity", "code smells". Only reports findings with confidence >= 7/10.

Analyzes code for performance and scalability issues, producing fitness scores (1-10) across algorithmic efficiency, database design, caching strategy, scalability readiness, resource utilization, and data pipeline efficiency. Use when the user says /review:performance, requests a performance review, asks for scalability analysis, wants to find N+1 queries or Big-O hot paths, or needs performance fitness scores before shipping. Only reports findings with confidence >= 7/10.