Complete UI layer testing for KMP: semantic test tags on composables, Compose UI interaction tests in commonTest (runComposeUiTest, onNodeWithTag, performClick, assertIsDisplayed)…
Kotlin coding rules from ai-toolkit: coding-style, frameworks, patterns, security, testing. Triggers: .kt, .kts, build.gradle.kts, Ktor, Jetpack Compose, coroutines, kotlinx.
Kotlin testing with JUnit 5, MockK, Spring test slices, and Testcontainers. Provides mocking patterns, test slice selection, and TDD workflow for Spring Boot + Kotlin.
Use when designing, implementing, or reviewing tests in KMP projects — unit tests, instrumented tests, Compose Multiplatform UI tests, test doubles, test strategy, stability,…
Smart Kotlin unit testing with auto-detection, coverage analysis, and AI edge cases. Use when generating tests for biz/ layer classes, analyzing test coverage gaps, or discovering…
Provide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data.
Production-grade test automation skills for 46 frameworks across E2E, unit, mobile, BDD, visual, and cloud testing in 15+ languages.
Foundational C programming patterns covering type system, memory management, pointers, arrays, preprocessor, compilation, concurrency (pthreads, mutexes, atomics), serialization…
C library development patterns covering API design, header organization, memory management for libraries, ABI stability, build system integration, documentation with Doxygen,…
Kotlin-specific library development patterns. Use when creating Kotlin libraries, designing idiomatic Kotlin APIs with extension functions and DSLs, configuring Gradle Kotlin DSL…
The Python ecosystem pack — the exact build, test, lint, format and dependency commands, plus the idioms, that the python-developer agent uses.
The TypeScript ecosystem pack — the exact build, test, lint, format and dependency commands, plus the idioms, that the typescript-developer agent uses.
Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation.
Create a minimal working LangChain example with LCEL chains. Use when starting a new LangChain integration, testing your setup, or learning LCEL pipe syntax with prompts and…
Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts.
Compose LangGraph 1.0 subgraphs correctly — shared state key propagation, Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion budgets, and testing each…
Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid…
Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and…
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably.
Configure Langfuse CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Langfuse tests into…
Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns.
Ensures the AI uses the latest stable versions of programming languages and adheres to current best practices in all files.
Latest React features from React 19 and React Compiler (past 1.5 years - mid 2024 to 2026) — from engineering/testing
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names.
Use when the user asks to "find the latest version", "what version is", "current version of", "what's the latest", "check version", "find version", or provides a…
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer…
Use when apply Leiden clustering after constructing a k-nearest neighbor (kNN) graph from single-cell expression data when you need to partition cells into discrete, biologically…
Best practices for writing R package tests using testthat version 3+. Use when writing, organizing, or improving tests for R packages.
Vitest - Next Generation Unit Testing Framework สำหรับ Vite ที่รองรับ TypeScript, HMR, และ Jest-compatible API
libeval - RAG evaluation system. Evaluator orchestrates quality assessment using LLM-as-judge patterns. CriteriaEvaluator scores responses against rubrics.
libharness - Test harness and mock infrastructure. createMockStorage, createMockConfig, createMockLogger provide framework mocks.
libperf - Performance testing utilities. benchmark function measures execution time and memory. validateDuration and validateMemory assert performance constraints.
Use when an AI skill, MCP client, or automation needs browser-based web retrieval, JavaScript page loading, scraping, form interaction, markdown extraction, semantic DOM…
Run Claude Code integration tests in isolated Lima VM sandboxes. Use for E2E testing, hook validation, session survival tests, and any scenario requiring isolated Claude execution.
Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver tests, or validating…
Create your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow patterns.
Create a minimal working Lindy AI agent example. Use when starting a new Lindy integration, testing your setup, or learning basic Lindy API patterns.
Set up local development workflow for testing Lindy AI agent integrations. Use when building webhook receivers, testing agent callbacks, or iterating on Lindy-connected…
Integrate Linear with GitHub Actions CI/CD pipelines. Use when setting up automated testing, PR-to-issue linking, or creating Linear issues from CI failures.
Set up local Linear development environment and testing workflow. Use when configuring local dev, testing integrations, or setting up a development workflow with Linear webhooks.
Use when adding or enforcing lint rules as part of a test or verification plan. Extends testing-strategy with lint-specific guidance: rule selection, gate placement, failure…
Investigate ONE failed or expensive factory trajectory and prove whether a fix helped. Records the job contract, observes the baseline, locates the earliest failed handoff,…
Add the Lite-Basic (Tier 2) sprite atlas to an EXISTING Codogotchi pet that already has a Codex `spritesheet.webp`.
Testing patterns for litefs-py and litefs-django. Use when writing tests, setting up fixtures, understanding test organization, or configuring pytest marks.
Use when building real-service end-to-end tests with fixtures, cleanup, rate limits, and evidence. Triggers:
Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator.
LLM evaluation harness for accuracy benchmarking. MMLU/HumanEval/MATH eval runners, model-graded scoring, prompt regression testing, and per-skill accuracy tracking.
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Comprehensive guide to using LLMs throughout the game development lifecycle - from design to implementation to testingUse when "ai game development, llm game dev, claude game, gpt…
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRouter, LiteLLM) - Configuring model fallbacks and…
LLM inference load testing for throughput and concurrency limits. Token/s benchmarks, concurrent request sweeps, latency-vs-throughput curves, and breaking-point identification.
Creates test documentation (testing-strategy.md, tests/README.md) with Risk-Based Testing philosophy. Use when setting up test strategy for a project.
Executes test tasks (label 'tests') through Todo to To Review with risk-based limits. Use for test task execution. Not for implementation tasks.
Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-511, ln-512, ln-513. Invoked by ln-500-story-quality-gate.
Performs manual testing of Story AC via executable bash scripts saved to tests/manual/. Creates reusable test suites per Story. Worker for ln-510.
Plans automated tests (E2E/Integration/Unit) using Risk-Based Testing after manual testing. Calculates priorities, delegates to ln-301-task-creator. Worker for ln-510.
Analyzes application logs: classifies errors, checks log quality, maps stack traces to source. Use when logs need review after test runs or during development.