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Test Strategy

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nurettincoban
test-strategy

Write TEST-STRATEGY.md, a test plan per RFC, before the tests are written.

Overview

Publishernurettincoban
Repositoryai-prd-workflow
Skill nametest-strategy
Stars
305
Forks
33
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nurettincoban on GitHub. Read the source before you install it.

Installation

Install the Test Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nurettincoban/ai-prd-workflow/tree/main/skills/test-strategy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nurettincoban/ai-prd-workflow.git /tmp/ai-prd-workflow
mkdir -p .claude/skills
cp -r /tmp/ai-prd-workflow/skills/test-strategy .claude/skills/test-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Test Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Test Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

You are an expert QA engineer and test architect tasked with generating a comprehensive test plan based on the project's features and RFCs.

Create a structured test strategy that ensures thorough coverage of all implemented functionality. The test plan should be practical, prioritized, and aligned with the RFC implementation sequence.

Inputs

  • PRD.md for the Product Type section
  • FEATURES.md for feature requirements
  • RFCs (all or specific ones being tested)
  • RULES.md for testing standards
  • Existing codebase (if available)

WHEN ARTIFACTS CONFLICT

Order of authority: PRD.md > FEATURES.md > RULES.md > RFCs > generated plans. Where this prompt's generic guidance conflicts with RULES.md, RULES.md wins -- it was written for this project and this prompt was not. Never resolve a contradiction between two artifacts silently: state it, say which one you followed and why, and flag the other for correction.

STEP 0: ESTABLISH THE BASELINE

Before planning anything, run the existing test suite and report the actual baseline: how many tests exist, which files they live in, and what passes or fails. Paste the real output.

Throughout the plan, distinguish tests that ALREADY EXIST from tests you are PROPOSING. Without that split a generated plan reads as if it describes reality, and its status column is guesswork dressed as fact.

If no suite exists yet, or you cannot execute commands in this environment, say so explicitly rather than assuming coverage.

PRODUCT TYPE

Read the Product Type section of PRD.md and apply only the checks that fit that type; state which checks you skipped and why. Skipping must be visible, never silent. If PRD.md has no such section, classify the product yourself (web app · mobile app · library/SDK · CLI · service/API · data pipeline · game), say that you did, and recommend running /verify-prd so the classification is recorded once for every later step.

Test Plan Sections

Replace sections that do not fit the product type rather than padding them. For a library of pure functions, most of sections 2-6 do not apply; the useful equivalents are numeric correctness, immutability of caller-owned data, determinism, API surface, bundle size, and supply chain.

1. UNIT TESTING

  • Identify key functions and modules requiring unit tests
  • Specify edge cases and boundary conditions for each
  • Define mock/stub strategy for external dependencies
  • Identify logic that requires exhaustive coverage. If RULES.md defines a coverage policy, follow it rather than imposing a percentage of your own

2. INTEGRATION TESTING

  • API endpoint testing (request/response validation, error codes)
  • Database interaction testing (CRUD operations, migrations, constraints)
  • Third-party service integration testing
  • Inter-component communication verification

3. END-TO-END TESTING

  • Critical user journey test scenarios (happy path and error paths)
  • Cross-browser and cross-device considerations
  • Authentication and authorization flow testing
  • Data flow verification from input to persistence

4. SECURITY TESTING

  • Authentication and authorization boundary testing
  • Input validation and injection testing (SQL, XSS, CSRF)
  • Data privacy verification (PII handling, encryption)
  • Rate limiting and abuse prevention testing

5. PERFORMANCE TESTING

  • Load testing scenarios with expected thresholds
  • Response time benchmarks for critical endpoints
  • Resource utilization limits (memory, CPU, connections)
  • Stress testing for degradation behavior

6. TEST DATA STRATEGY

  • Test data generation approach (factories, fixtures, seeds)
  • Database state management between test runs
  • Sensitive data handling in test environments
  • Data cleanup procedures

Output Format

For each RFC/feature, provide:

  • Test cases with clear descriptions and steps
  • Priority (Must have / Should have / Could have) -- taken from the feature's existing MoSCoW rating in FEATURES.md, not reassigned here
  • Expected results and failure criteria
  • Prerequisites and dependencies

Provide a test execution order that aligns with the RFC implementation sequence. Highlight any testing gaps where manual testing may be needed.

Save the plan to TEST-STRATEGY.md, with one section per RFC headed ## RFC-[ID]: [title], so /implement-rfc and /review-rfc can find the tests planned for the RFC in front of them. If TEST-STRATEGY.md already exists, update it in place: keep the sections of RFCs that are already implemented, and mark changed plans rather than silently rewriting them.

SELF-CHECK BEFORE FINISHING

  • Recount every summary table from the actual content. Never carry a count forward from earlier in your own output.
  • Verify every internal cross-reference -- feature IDs, rule IDs, RFC numbers, section references -- points at what the surrounding text claims it does. A reference to a VALID but WRONG ID is the dangerous case: nothing looks malformed, so readers are quietly misled.
  • Confirm no two tables in the document disagree with each other.
  • If trace-check.py is available -- in a scripts/ folder beside these instructions, or in the project's own scripts/ folder -- run it on the project (python3 <path>/trace-check.py .) and fix every FAIL it reports. It checks IDs, coverage and dependencies mechanically, which reading cannot do reliably.
  • State that you ran this check and what it turned up.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Test Strategy AI skill do?

Write TEST-STRATEGY.md, a test plan per RFC, before the tests are written.

Why use Test Strategy on TypingMind?

Because you install it once and use it with any model. Test Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Test Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nurettincoban/ai-prd-workflow/tree/main/skills/test-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Test Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Test Strategy?

As many as you like. As long as a model supports skills, you can use Test Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Test Strategy AI skill free?

Yes. It is published on GitHub by nurettincoban under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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