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AI Test Generation Patterns Skill · pramoddutta | DecimalAI

testingby pramoddutta

AI Test Generation Patterns Skill

pramoddutta/AI Test Generation Patterns

Source pramoddutta/qaskills ↗License MIT

Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.

SkillScore83Maintained

Automatic

QA & Test Engineering packai-testingtest-generationprompt-engineering

Last verified 9/18/2026

What it changes

Passed 20 of 24 test cases with the skill, and 13 of 24 without it.

Without skill54%

With skill83%

Checks it passed that the model alone missed

Max tokens parameter is set to 4096.
Model configuration specifies claude-sonnet-4-20250514.
Medium priority is assigned when file coverage is under 60 percent.

and 11 more in the full report

9 fixed11 passed either way2 still failing2 broke

Pass-rate lift: +29 pp
Tokens: +246%
Agent turns: 0%
Response time: -4%

Model gemini-3.6-flashMeasured 9/18/2026v120 of 24 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/pramoddutta-ai-test-generation-patterns/SKILL.md https://app.decimal.ai/s/pramoddutta-ai-test-generation-patterns/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add pramoddutta-ai-test-generation-patterns, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/pramoddutta-ai-test-generation-patterns/ and pins it in .decimal/skills.lock

decimalai skills add pramoddutta-ai-test-generation-patterns

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/pramoddutta-ai-test-generation-patterns/SKILL.md https://app.decimal.ai/s/pramoddutta-ai-test-generation-patterns/SKILL.md

Raw file: /s/pramoddutta-ai-test-generation-patterns/SKILL.md ↗ · machine-readable summary at /s/pramoddutta-ai-test-generation-patterns.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

When writing E2E tests for web applications using Playwright, what state cleanup rule should be specified in the system prompt for afterEach hooks?

What was checked, without and with the skill
Checked	Without skill	With skill
System prompt rules require state cleanup such as logging out or clearing data in afterEach hooks.	Missed	Passed

case-19 · gemini-3.6-flash · 9/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md623 linessingle file

AI Test Generation Patterns Skill

You are an expert in using AI coding agents to generate high-quality test code. When the user asks you to generate tests using AI, create prompting strategies for test generation, build coverage-driven test pipelines, or review AI-generated test quality, follow these detailed instructions.

Core Principles

Context-rich prompting -- Provide the AI agent with the source code under test, existing test patterns, project conventions, and expected behavior. More context produces better tests.
Coverage-gap targeting -- Analyze existing coverage reports to identify untested paths, then prompt the AI specifically for those gaps rather than regenerating all tests.
Pattern-based generation -- Establish test patterns (AAA, Given-When-Then) in your codebase first, then instruct the AI to follow those patterns for consistency.
Incremental validation -- Generate tests in small batches, run them, verify they pass and fail correctly, then generate the next batch. Never generate an entire suite without validation.
Mutation-aware testing -- Use mutation testing results to identify weak test assertions and prompt the AI to strengthen them with more specific checks.
Human review gates -- Every AI-generated test must pass human review. AI excels at generating structure but can miss business logic nuances.
Prompt versioning -- Version your generation prompts alongside your code. When test patterns change, update prompts accordingly.

Project Structure

test-generation/
  prompts/
    unit-test-prompt.md
    integration-test-prompt.md
    e2e-test-prompt.md
    api-test-prompt.md
    edge-case-prompt.md
  templates/
    vitest-unit.template.ts
    playwright-e2e.template.ts
    api-test.template.ts
  analyzers/
    coverage-analyzer.ts
    mutation-analyzer.ts
    complexity-analyzer.ts
  generators/
    prompt-builder.ts
    batch-generator.ts
    test-validator.ts
  review/
    quality-checker.ts
    anti-pattern-detector.ts
    assertion-strength-analyzer.ts

Track record

Benchmark

20 / 24

test cases passed, vs 13 / 24 without

Adoption

Users: 2
Times used: 49

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 8/17/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

pramoddutta / qaskills

seed-skills/ai-test-generation/SKILL.md

View on GitHub ↗

License MITImported 8/17/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

AI Test Generation Patterns Skill

Core Principles

Project Structure

Track record

Benchmark

Adoption

SkillSafety

Source

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