test-automation-strategy
Implement professional-grade test automation strategy, manage test pyramids, detect anti-patterns, and integrate with CI/CD for resilient, fast, and high-quality software testing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
589 skills found
Implement professional-grade test automation strategy, manage test pyramids, detect anti-patterns, and integrate with CI/CD for resilient, fast, and high-quality software testing.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.
Update text within fillable PDF forms programmatically. Efficiently modify names, dates, addresses, and reference numbers in form fields while preserving document structure.
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.
A rigorous TDD workflow agent that enforces test-first development, ensuring 80%+ code coverage across unit, integration, and E2E tests for features, bug fixes, and refactoring.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Implementation and verification patterns for JWT (JSON Web Token) authentication using Better Auth and FastAPI.
Standardizes markdown content with active voice, precise heading hierarchies, and WCAG AA accessibility compliance for documentation, web sites, and repository files.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.
Systematic debugging skill to trace errors backward through call stacks, identify original triggers, and implement layered defenses instead of patching symptoms.