Best skills for: Test generation
Generating tests with AI isn't just about asking for test cases—it's about equipping the model with skills that ensure meaningful coverage and maintainability. For time-sensitive logic, consider Temporal Python Testing Strategies: it teaches the AI to handle time mocking, async flows, and scheduling scenarios gracefully. When testing UI interactions, Browser Automation with agent-browser makes the model generate realistic end-to-end checks. To enforce code quality in your test suite, lean on Quality Standards, which pushes for clear assertions and proper isolation. The trap is writing prompts that yield brittle or shallow tests. Instead, provide context: which framework (pytest, JUnit), which patterns (mocking, factories), and what edge cases. These skills help the AI produce tests that actually catch regressions without becoming a maintenance burden.
24 skills selected
Quality & Debugging
Testing
Provides a structured debugging workflow (reproduce, isolate, identify root cause, fix minimally, verify) and testing guidance (TDD, test priority, verification commands). Helps developers systematically fix bugs and ensure code quality before marking tasks as done.
TDD for NG Component Pattern Methods
Testing
Provides guidelines for writing unit tests using TDD for NG component pattern methods in ace_engine. Covers direct method invocation, state reset, API verification, branch coverage with paired tests, and avoiding common pitfalls like magic numbers or documentation-only tests.
Test-Driven Development
Testing
Rigid RED → GREEN → REFACTOR cycle. Write a failing test before any implementation.
Create MCP Eval
Testing
Create or modify evaluation configurations for MCP Servers. This skill guides the creation of eval YAML files, task definitions, MCP config, and agent files, and provides commands to run the evaluations using mcpchecker. Particularly useful when testing MCP server functionality through automated task assertions.
Verification & Validation
Testing
Check whether an artifact (code, config, state) conforms to tests, specs, or invariants. Produces a PASS/FAIL verdict with observable evidence. Helps validate changes or test hypotheses.
Testing Tauri Applications
Testing
Covers testing strategies for Tauri v2 applications: unit and integration testing using a mock runtime, end-to-end testing with WebDriver (Selenium, WebdriverIO), and CI integration with GitHub Actions.
Writing Tests with gt Library
Testing
Provides step-by-step guidance for writing Go tests with the gt library, including type-specific assertions (e.g., `gt.Array`, `gt.String`), fail-fast patterns with `Required()`, and return value handling via `R1`/`R2`/`R3`. Helps when creating new test files or adding tests to existing Go code by referencing the locally installed gt documentation.
Run TypeScript Tests
Testing
Run TypeScript solution against test cases. Executes a test runner with a solution file and optional test file.
Tester - Test Quality Validation
Testing
Verifies test quality, coverage, and correctness by ensuring BDD scenarios map 1:1 to tests and that testing rules (≥80% coverage, error handling) are followed. Used during the review phase to confirm the implementation meets acceptance criteria through automated test validation.
QA Testing and Bug Fixing
Testing
Systematically QA test a web application, fix bugs iteratively with re-verification. Produces health scores, fix evidence, and a ship-readiness summary.
fit-universe Synthetic Data Generator
Testing
Generates synthetic data for the Forward Impact suite from a universe DSL file. Produces framework definitions, organizational documents, activity records, and personal knowledge base content. Use for testing, generating example datasets, or creating synthetic pathways for new installations.
Failing Tests for TDD Red Phase
Testing
Generate comprehensive failing tests for the TDD red phase to define expected behavior and edge cases.
TDD Orchestrator with Parallel Execution
Testing
Executes the full TDD workflow: reads a ticket and associated knowledge, then runs TDD tests in parallel for all ready implementation tasks. After parallel execution, it launches a refine loop to fix any code-test issues. Ideal for accelerating TDD cycles when multiple independent test implementations are available.
API Testing with Playwright
Testing
Write tests for REST and GraphQL APIs using Playwright's built-in API testing features. Helps validate responses, mock endpoints, and integrate API tests into end-to-end flows.
QA Testing
Testing
Use after code changes, before releases, or when testing features. Runs the right level of QA based on what changed.
TDD Red/Green/Refactor
Testing
Enforces the TDD cycle: write a failing test (red), implement minimal code to pass (green), then refactor while keeping tests green. Best for any testable code change, especially in projects using Vitest.
t.wada TDD - Test-Driven Development
Testing
This skill provides guidelines for Test-Driven Development inspired by t.wada's philosophy. It covers the Red-Green-Refactor cycle, AAA test structure, boundary value testing, and common anti-patterns. Useful when implementing new features, fixing bugs, or refactoring code with a test-first approach.
MSW (Mock Service Worker)
Testing
Assists with intercepting network requests for API mocking using Mock Service Worker (MSW). Use when mocking REST or GraphQL APIs for unit tests, integration tests, or local development without modifying application code or running mock servers.
Test-Driven Development
Testing
Practice test-driven development with a red-green-refactor workflow for new features and bug fixes.
Test-Driven Development (TDD)
Testing
Guide users through the red-green-refactor cycle to develop features by writing tests first. Improve code quality and test coverage with disciplined test-first practices.
Test-Driven Development (TDD)
Testing
Test-driven development methodology with red-green-refactor loops, vertical slicing, and integration-style tests verifying public behavior.
App Verification Sub-Agent
Testing
Launch a sub-agent that performs end-to-end verification of the application. It checks builds, linting, type errors, runs unit tests, performs manual UI testing via Playwright, and verifies integration points. Ideal for QA verification before release or after changes to ensure app stability and correctness.
Echo - Message Repeater
Testing
This skill echoes a message back with a timestamp. Helpful for testing skill functionality and learning how skills work. Use it when you need to verify that skills are operating correctly.
TDD Workflow
Testing
Executes the TDD loop (test-first) for tasks in tasks/todo.md, with user checkpoints between each step.
How to choose
- How are these skills selected?
- An algorithm picks them among the published skills that match this page's criteria, such as category, tags or compatible tools. It ranks them by the quality score a language model gave them. On ranking pages, it also weighs GitHub stars and the security rating. Nobody reviews them one by one.
- What do the security ratings mean?
- A language model reads the SKILL.md file, without running it, and gives it a rating. Safe means it sees no meaningful execution risk. Caution means the skill uses powerful tools such as bash, docker or the network for a legitimate purpose. Risky means it asks for destructive actions, for secrets to be sent out, or for obfuscated code to run; a skill rated Risky is never published. The rating does not replace your own reading of the file.
- How do I install a skill?
- Open any skill page and follow its install instructions for your tool — Claude Code, Cursor or Copilot. Each skill lists the exact steps so you can get it running in a couple of minutes.