Testing Strategy

Methodology Bootstrapping

yaleh

Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns.

CI/CD Optimization

yaleh

Comprehensive CI/CD pipeline methodology with quality gates, release automation, smoke testing, observability, and performance tracking. Use when setting up CI/CD from scratch, build time over 5 minutes, no automated quality gates, manual release process, lack of pipeline observability, or broken releases reaching production. Provides 5 quality gate categories (coverage threshold 75-80%, lint blocking, CHANGELOG validation, build verification, test pass rate), release automation with conventional commits and automatic CHANGELOG generation, 25 smoke tests across execution/consistency/structure categories, CI observability with metrics tracking and regression detection, performance optimization including native-only testing for Go cross-compilation. Validated in meta-cc with 91.7% pattern validation rate (11/12 patterns), 2.5-3.5x estimated speedup, GitHub Actions native with 70-80% transferability to GitLab CI and Jenkins.

Retrospective Validation

yaleh

Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation model provides statistical rigor. Validated in error recovery (1,336 errors, 23.7% prevention, 0.79 confidence).

Technical Debt Management

yaleh

Systematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, phased paydown roadmap, trend tracking system, prevention guidelines), 3 patterns (SQALE-based quantification, code smell taxonomy mapping, value-effort prioritization), 3 principles (high-value low-effort first, SQALE provides objective baseline, complexity drives maintainability debt). Validated with 4.5x speedup vs manual approach, 85% transferability across languages (Go, Python, JavaScript, Java, Rust), SQALE industry-standard methodology.

Code Refactoring

yaleh

Systematic code refactoring methodology using Test-Driven Refactoring, complexity reduction patterns, and incremental safety protocols. Use when refactoring complex functions (complexity >8), improving code maintainability, reducing technical debt, or systematizing ad-hoc refactoring. Provides 8 refactoring patterns (Extract Method, Simplify Conditionals, Characterization Tests, etc.), 3 safety templates (Safety Checklist, TDD Workflow, Commit Protocol), 1 automation script (complexity checking). Validated with 2 refactorings achieving 28% complexity reduction, 100% test pass rate, 0 regressions.

raffle-winner-picker

ComposioHQ

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

webapp-testing

ComposioHQ

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

ios-simulator-skill

conorluddy

This Claude Skill can be used to build, test, and automate iOS apps. 13 production-ready scripts including ultra token-efficient xcode build automation, log monitoring, intelligent simulator selection, and accessibility-driven UI simulator navigation.

Creating Development Plans

sammcj

Creates structured development plans with phased task breakdowns, requirements, and QA checklists. Use when the user explicitly asks to create a dev plan, development plan, or document development requirements.

Writing Go Tests

sammcj

Applies current Go testing best practices. Use when writing or modifying Go test files or advising on Go testing strategies.

testing-debugging

baz-scm

Ensuring software correctness and reliability by writing automated tests, using quality assurance tools, and systematically debugging issues.

webapp-testing

LeastBit

使用 Playwright 与本地 Web 应用交互并进行测试的工具包，可验证前端功能、调试 UI 行为、捕获浏览器截图、查看日志。