Execute qualquer Skill no Manus
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Execute qualquer Skill no Manus com um clique

kta-unit-test

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Atualizado10 de maio de 2026 às 05:15

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 edge cases.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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dantech0xff

dantech0xff/dreams

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Analistas de garantia de qualidade de software e testadoresInformática e Matemática·SOC 15-1253

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5 arquivos

SKILL.md

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name	kta-unit-test
description	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 edge cases.

Kotlin Unit Test

Project-specific skill for intelligent Kotlin unit testing.

When to Use

Generating tests for business logic classes (biz/ layer)
Analyzing test coverage gaps
Discovering edge cases for existing code
Before writing new tests to understand what's missing

Workflow

Analyze class: python scripts/analyze_kotlin.py units <file.kt>
Check coverage: python scripts/analyze_kotlin.py coverage <source_dir> <test_dir>
Discover edge cases: Load references/edge-case-discovery.md
Write tests: Follow patterns in references/test-patterns.md

Script Commands

# Analyze single file - extract testable units
python scripts/analyze_kotlin.py units app/src/main/.../SomeClass.kt

# Analyze coverage gaps between source and test directories
python scripts/analyze_kotlin.py coverage app/src/main/java/.../biz app/src/test/java/.../biz

Output Format

JSON structured output for parsing:

{
  "class_name": "SomeClass",
  "methods": [...],
  "dependencies": [...],
  "coverage": {"tested": [], "missing": []}
}

References

File	Purpose
`references/test-patterns.md`	JUnit4 + MockK + Turbine patterns
`references/edge-case-discovery.md`	AI prompts for finding edge cases

Integration

Works with .Codex/agents/unit-test-agent.md for test generation workflow.

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dantech0xff/dreams

Senior Kotlin specialist code review — framework-agnostic. Use whenever the user asks to review, audit, critique, or get feedback on Kotlin code, a file, a class, a function, a module, a diff, a branch, a commit, or a pull request. Judges Kotlin language idioms, logic correctness, architecture and layering, concurrency (coroutines, Flow, structured concurrency, cancellation, race conditions), null safety, exception safety, testability, performance, and security. Detects force-unwraps, unchecked casts, GlobalScope, leaked mutability, broken structured concurrency, hidden side effects, weak abstractions, untestable seams, allocation hot spots, weak crypto, input-validation gaps, and PII logging. Outputs prioritized findings with file:line anchors and minimal-diff fixes. No assumptions about DI framework, UI framework, or build system.

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Create Kotlin Compose design tokens from one of three supported sources — Google Stitch (MCP), Figma (MCP or JSON), or Codex Design (kta-design-spec output, Codex HTML/markdown artifacts). Three-layer architecture (Primitive/Semantic/Component) with code generation. Use when user asks to "generate design tokens", "create theme from Figma/Stitch/Codex design", "build Compose tokens from design spec", or "convert design source to tokens". Refuses any other input source and asks user for correct seed data.

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Optimize a single Jetpack Compose @Composable function. Use when the user wants to improve, polish, animate, or refactor ONE Composable — keywords like "optimize this composable", "make this smoother", "add animation to this", "split this composable", "fix recomposition", "this composable is laggy", "polish this UI", or when user pastes/points to a single @Composable function. Analyzes the target for recomposition issues, missing animations, size/concern splits, and stability problems, then iterates with the user via AskUserQuestion to pick which optimizations to apply, then delegates implementation to the kta-compose-developer agent and summarizes changes. Input MUST be exactly one Composable (file path + function name, or function name alone).

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Per-screen design spec generator for AI design tools (Stitch / Figma AI / Codex artifacts). Consumes per-feature PRDs from kta-prd-pipeline. Emits tool-agnostic markdown specs. Triggers — design spec, AI design prompt, screen mockup brief, Figma AI input, Stitch prompt, design system tokens, post-PRD design phase, generate design specs, design brief, mockup spec. DOES NOT generate Compose code, Kotlin code, or @Preview stubs.

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End-to-end Android indie idea workflow — feature-build phase only (no monetization). Phased — discover (if no idea) → generate 2 candidates → refine scope (offline/online, sharing, MVP vs full, core-value features) → risk/reward/tradeoff analysis when scoping down → emit idea brief. Use for greenfield app concepts, new feature ideation, idea discovery, or pre-design discovery before writing a design document. Triggers — new app idea, feature concept, indie dev brainstorm, validate idea, refine idea, what should I build, find an app idea, idea pipeline, I have no idea, help me find an app idea, scope down, MVP scoping, core value features.

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kta-module

dantech0xff/dreams

Bootstrap a new Gradle module in any Kotlin Android project. Walks the user through choosing one of three module types — library module (`com.android.library`), feature module (regular Android library that hosts a feature/UI, install-time only), or dynamic feature module (`com.android.dynamic-feature`, on-demand/conditional/instant delivery). Use whenever the user wants to add a module, modularize code, extract a util/data/ui layer, create a new feature, set up Play Feature Delivery, or asks "should this be a library or feature module?". Discovers the project's existing conventions (plugin aliases, namespaces, sibling modules, version catalog) instead of hardcoding any. Pushes back on bad combos (e.g. utility code in a dynamic feature). Stops at scaffolding; app-level wiring is out of scope.

2026-05-104

name	kta-unit-test
description	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 edge cases.

Kotlin Unit Test

Project-specific skill for intelligent Kotlin unit testing.

When to Use

Generating tests for business logic classes (biz/ layer)
Analyzing test coverage gaps
Discovering edge cases for existing code
Before writing new tests to understand what's missing

Workflow

Analyze class: python scripts/analyze_kotlin.py units <file.kt>
Check coverage: python scripts/analyze_kotlin.py coverage <source_dir> <test_dir>
Discover edge cases: Load references/edge-case-discovery.md
Write tests: Follow patterns in references/test-patterns.md

Script Commands

# Analyze single file - extract testable units
python scripts/analyze_kotlin.py units app/src/main/.../SomeClass.kt

# Analyze coverage gaps between source and test directories
python scripts/analyze_kotlin.py coverage app/src/main/java/.../biz app/src/test/java/.../biz

Output Format

JSON structured output for parsing:

{
  "class_name": "SomeClass",
  "methods": [...],
  "dependencies": [...],
  "coverage": {"tested": [], "missing": []}
}

References

File	Purpose
`references/test-patterns.md`	JUnit4 + MockK + Turbine patterns
`references/edge-case-discovery.md`	AI prompts for finding edge cases

Integration

Works with .Codex/agents/unit-test-agent.md for test generation workflow.