You built your Kubernetes skill in Lesson 0 and refined it through Lessons 1-14. Now validate that it actually transfers to new projects.

[52] EXECUTE. Three-stage refactoring workflow: (1) iterative research of refactor/modularization options, (2) plan + risk/edge-case analysis + Scope150 validation, then implement with tests after user confirmation, and (3) apply Scout105 cleanup protocol. Use when asked to refactor, modularize, or restructure code safely.

Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.

Final step in building instruction context for codebase

Test features before users find bugs. Use when feature is built, before deploying, or when bugs reported. Covers manual testing, edge cases, cross-browser testing, and testing checklists for non-technical founders.

[60] VALIDATE. Ensure new (staged and unstaged) changes are covered by tests at >70% and the full test suite is green. Use when asked to validate coverage for recent changes, add tests for modified code, or verify nothing else broke.

You've spent this chapter building mental models: the LLMOps lifecycle, training taxonomy, economic analysis, use case specification. All valuable knowledge—but knowledge fades. Six months from now, y

Create your LLMOps data engineering skill in one prompt, then learn to improve it throughout the chapter

You've trained two specialized adapters: a TaskMaster persona adapter (Chapter 65) and an agentic tool-calling adapter (Chapter 66). Now you need to combine them. But before you learn the theory of mo

Fix bugs systematically instead of guessing. Use when features break, users report errors, or tests fail. Covers reproducing bugs, gathering diagnostic info, and working with AI tools to fix issues efficiently for non-technical founders.

Consolidate all Part 8 skills into a production-ready llmops-fine-tuner skill

Create documentation with gaming-specific examples, retro styling, and 8-bit terminology. Apply when documenting gaming blocks, RPG components, or retro-styled UI elements.

Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.

Generate AIAG-format Control Plans linked to PFMEAs with proper inspection methods, frequencies, and reaction plans. Supports Prototype/Pre-launch/Production phases. USE WHEN user says 'control plan', 'CP', 'inspection plan', 'process control', 'sampling frequency', 'reaction plan', or 'special characteristics'. Integrates with PFMEA, AutomotiveManufacturing, and MSA skills.

Agent evaluation framework based on Anthropic's best practices. USE WHEN eval, evaluate, test agent, benchmark, verify behavior, regression test, capability test. Includes three grader types (code-based, model-based, human), transcript capture, pass@k/pass^k metrics, and ALGORITHM integration.

Prompt injection testing. USE WHEN prompt injection, jailbreak, LLM security, AI security assessment, pentest AI application, test chatbot vulnerabilities.

Expert record keeping system with paperless-ngx integration, country-specific taxonomies, and intelligent document management. USE WHEN upload document, store file, organize records, find document, search papers, tag documents, delete records, retention check, archive documents, add entity, create trust, validate trust, workflow create, FTE check, connection test, system status, check status.

Safety Monitor

UE (user experience engineering) skill for defining end-to-end user experience behavior and interaction logic. Use for tasks like flow design, interaction models, state machines, error recovery, input validation, usability heuristics, accessibility, and turning UX intent into testable acceptance criteria for implementation.

Web security assessment. USE WHEN web assessment, pentest, security testing, vulnerability scan. SkillSearch('webassessment') for docs.

You're an experimentation leader who has built testing cultures at high-velocity product

Comprehensive China A-share stock analysis covering fundamental analysis, technical analysis, policy impact assessment, and market-specific features (T+1 trading, price limits, northbound capital flow). Use when user asks about A股分析, Chinese mainland stocks, Shanghai/Shenzhen listed stocks, or needs analysis considering China market characteristics.

Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.

Accessibility audit for CSS covering focus styles, color contrast, text sizing, screen reader support, and WCAG compliance. Provides actionable fixes. Use when auditing accessibility or fixing a11y issues.

Expert in web accessibility (WCAG 2.1/2.2 AA/AAA compliance), ARIA patterns, keyboard navigation, screen reader testing, color contrast, focus management, and automated accessibility testing

SDK installation and setup patterns for Agent-to-Agent Protocol across Python, TypeScript, Java, C#, and Go. Use when implementing A2A protocol, setting up SDKs, configuring authentication, or when user mentions SDK installation, language-specific setup, or A2A integration.

使用 A2UI v0.8（以 renderers/lit/src/0.8 与 specification/0.8 为准）生成服务端 JSONL UI 消息，并实现客户端事件与 A2A 扩展回传。适用于把用户需求转成 A2UI 组件树+数据模型+渲染序列，以及处理 action/userAction 与后端接口调用的场景。

Implement state machines with AASM for workflow management. Covers state transitions, guards, callbacks, and testing.

Design and analyze A/B tests, calculate statistical significance, and determine sample sizes for conversion optimization and experiment validation

Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.

Эксперт A/B тестирования. Используй для статистических тестов, экспериментов и ML-оптимизации.

全面的AB测试分析工具，支持实验设计、统计检验、用户分群分析和可视化报告生成。用于分析产品改版、营销活动、功能优化等AB测试结果，提供统计显著性检验和深度洞察。

Expert in statistical analysis for blind A/B and ABX audio testing. Validates randomization, calculates statistical significance, and ensures proper experimental design. Use when implementing A/B test features or analyzing test results.

Use when designing experiments for subject lines, offers, cadences, or

Complete workflow for dynamic analysis. Use when user mentions impact, crash, drop test, transient, or time-varying response. Handles explicit and implicit dynamics.

Configure output requests - field outputs, history outputs. Use when user asks what results to save, output variables, reduce output file size, or history output.

Master skill for Abaqus FEA scripting. Use for any finite element analysis, topology optimization, or Abaqus Python scripting task. Routes to appropriate specialized skills.

Abductive analysis for qualitative interview data following Timmermans & Tavory. Guides you through theory-first analysis that recognizes anomalies and generates novel theoretical insights through systematic puzzle exploration.

Hypothesis-Test Loops via REPL for Exploratory Abductive Inference with Gay.jl colors

Эксперт ABM. Используй для account-based marketing, target account selection и personalized campaigns.

Read `.claude/aboutme-index.json` to find files by purpose instead of grep-searching.

Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.

Expert in groups, rings, fields, and algebraic structures with applications to cryptography and number theory

Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps. Invoke when user mentions abstraction levels, making concepts concrete, or explaining at different depths.

Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.

Toolkit for creating an entertainingly stupid README that manages to give off Tim & Eric, Steve Brule vibes while maintaining a level of technical acumen that is expected of a modern open source project. This skill applies when users request a silly or absurd README.

Species abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed from Kraken2 classification output.

Turn vague Acceptance Criteria into measurable checks and test assertions

Master controller for complete autonomous operation. Use when starting full autonomous projects, managing end-to-end workflow, controlling autonomous lifecycle, or running complete implementations.

Parse and validate project specifications. Use when loading YAML/JSON specs, validating spec structure, extracting requirements, or converting between spec formats.