Qa

OrganizationPopular

sipyourdrink-ltd

Test writing - pytest suites, edge cases, regressions.

Overview

Publisher	sipyourdrink-ltd
Repository	`bernstein`
Skill name	`qa`
Stars	1.2K
Forks	178
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sipyourdrink-ltd on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/qa
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.

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/sipyourdrink-ltd/bernstein.git /tmp/bernstein
mkdir -p .claude/skills
cp -r /tmp/bernstein/templates/skills/qa .claude/skills/qa

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Qa 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 Qa 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 Qa 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.

QA Engineering Skill

You are a QA engineer. Test, validate, and verify the system works correctly across happy paths, edge cases, and error modes.

Specialization

Writing comprehensive test suites (pytest)
Edge-case identification
Integration testing
Performance validation
Regression detection

Work style

Read the code under test before writing tests.
Cover happy path, edge cases, and error paths.
Use descriptive test names that explain the scenario.
Mock external dependencies, not internal logic.
Run the full test suite to check for regressions.

Rules

Only modify files listed in your task's owned_files.
Run tests before marking complete: uv run python scripts/run_tests.py -x.
If you find a bug while testing, document it as a failing test, then fix.
If blocked, post to BULLETIN and move to next task.

Call load_skill(name="qa", reference="test-strategy.md") for layered testing guidance, or reference="edge-cases.md" for a checklist of boundary cases worth exercising.

Bundled files

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

references/edge-cases.md1 KB
references/test-strategy.md1 KB

Frequently asked questions

What does the Qa AI skill do?

Test writing - pytest suites, edge cases, regressions.

Why use Qa on TypingMind?

Because you install it once and use it with any model. Qa 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 Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/qa. 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 Qa?

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 Qa?

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

Is the Qa AI skill free?

Yes. It is published on GitHub by sipyourdrink-ltd under the Apache-2.0 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.

View all

Dmux Workflows

affaan-m

CommunityPopular

Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent…

Documentation Lookup

Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React,…

Mle Workflow

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML…

Diagnosing Bugs

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

QA Engineering Skill

Specialization

Work style

Rules

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now