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Use when implementing features or fixing bugs - enforces RED-GREEN-REFACTOR cycle requiring tests to fail before writing code

Narrative templates for git history documentation. Used by /git:code-story command.

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

Optimize content for search engines and AI answer engines. Use when writing or auditing SEO for any Lightfast page.

This skill provides guidance for SQL query optimization tasks, including rewriting slow queries for better performance while preserving semantic equivalence. Use this skill when asked to optimize, improve performance of, or rewrite SQL queries, particularly when dealing with correlated subqueries, complex joins, or queries that need CTEs/window functions.

When markdown being written or edited

Creates test documentation (testing-strategy.md + tests/README.md). Establishes testing philosophy and Story-Level Test Task Pattern. L2 Worker in ln-100-documents-pipeline workflow.

This skill guides writing Ansible playbooks for server configuration. Use when hardening servers, installing packages, or automating post-provisioning tasks that cloud-init cannot handle.

Verify code implementation aligns with design specifications. Use after implementing features, during code reviews, or when refactoring to ensure architectural compliance. Compares design docs with actual code.

Monitor and triage GitHub issues against design docs and implementation status. Use when user asks to "check issues", "triage issues", "sync issues", "what issues are open", or wants to ensure issues are up-to-date with development progress.

Audit code comments and docstrings quality across 6 categories (WHY-not-WHAT, Density, Forbidden Content, Docstrings, Actuality, Legacy). Use when code needs comment review, after major refactoring, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.

This skill guides writing comprehensive RSpec tests for Ruby and Rails applications. Use when creating spec files, writing test cases, or testing new features. Covers RSpec syntax, describe/context organization, subject/let patterns, fixtures, mocking with allow/expect, and shoulda matchers.

Guidance for implementing path tracers and ray tracers to reconstruct or generate images. This skill applies when tasks involve writing C/C++ ray tracing code, reconstructing images from reference images, or building rendering systems with spheres, shadows, and procedural textures. Use for image reconstruction tasks requiring similarity matching.

Audit project documentation quality across 6 categories (Hierarchy, SSOT, Compactness, Requirements, Actuality, Legacy). Use when documentation needs quality review, after major doc updates, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.

Guidance for developing CoreWars warriors that achieve target win rates against specific opponents. This skill should be used when tasks involve writing, optimizing, or debugging Redcode assembly warriors for the CoreWars programming game, particularly when win rate thresholds must be met against multiple opponents.

Creates runbook.md for DevOps setup. L3 Worker invoked CONDITIONALLY when hasDocker detected.

Analyze design docs, calculate velocity from recent work, and create realistic sprint plans with day-by-day breakdowns. Use when user asks to "plan sprint", "create sprint plan", or wants to estimate development timeline.

Create AILANG design documents in the correct format and location. Use when user asks to create a design doc, plan a feature, or document a design. Handles both planned/ and implemented/ docs with proper structure.

Comprehensive SEO and GEO audit methodology covering technical SEO, on-page optimization, content quality, E-E-A-T signals, and AI citation readiness. Informed by Google's ranking pipeline architecture. Use for thorough content and site audits.

Generate hierarchical AGENTS.md structure for codebases to optimize AI agent token usage. Use when creating AGENTS.md files, documenting codebase structure, setting up agent guidance, organizing project documentation for AI tools, implementing JIT indexing, or working with monorepos that need lightweight root guidance with detailed sub-folder documentation. Covers repository analysis, root AGENTS.md generation, sub-folder AGENTS.md creation, and token-efficient documentation patterns.