Evanflow Qa

Community

evanklem

evanflow-qa

Conversational bug discovery → issue draft. Light listening, background exploration, scope assessment. Asks before gh issue create — never auto-files. Use when conducting a QA session, triaging user-reported issues, or filing bugs.

Overview

Publisher	evanklem
Repository	`evanflow`
Skill name	`evanflow-qa`
Stars	418
Forks	18
Bundled files	Instructions only
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by evanklem on GitHub. Read the source before you install it.

Installation

Install the Evanflow 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/evanklem/evanflow/tree/main/skills/evanflow-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/evanklem/evanflow.git /tmp/evanflow
mkdir -p .claude/skills
cp -r /tmp/evanflow/skills/evanflow-qa .claude/skills/evanflow-qa

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

Use it in TypingMind

Enable Evanflow 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 Evanflow 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 Evanflow 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.

EvanFlow: QA

Removed from upstream: automatic gh issue create. Always ask first.

Vocabulary

See evanflow meta-skill.

When to Use

User describes a bug in their own words
QA session walking through a feature
Triaging multiple reports

The Flow

1. Listen Lightly

Let the user describe in their own words. At most 2-3 short clarifying questions, focused on:

What did you expect to happen?
What actually happened?
What were the steps?

Don't pre-debug. Don't pre-judge.

2. Explore in Background (optional)

Spin up an Agent (Explore type) to read the relevant codebase area. Goal: understand domain language and feature intent — not to find a fix. Fixes come later via evanflow-debug.

3. Assess Scope

Decide: is this one issue, or does it need breakdown into multiple independent concerns that different contributors could tackle simultaneously?

If multiple: each becomes its own issue. Mark blocking relationships honestly (don't serialize when work could parallelize).

4. Draft the Issue(s)

Show the draft to the user. ASK before running gh issue create.

Single-issue template:

markdown
## What happened
<one-paragraph user-facing description, no file paths>

## What I expected
<one-paragraph>

## Steps to reproduce
1. ...
2. ...

## Additional context
<anything that helps an engineer reproduce or scope>

Breakdown template (parent + children):

markdown
## Parent issue
References: #<parent-id>

## What's wrong
<scoped to this child>

## What I expected
...

## Steps to reproduce
...

## Blocked by
- #<id> (if any)

## Additional context
...

5. File (with permission)

After user confirms each draft: gh issue create --title "..." --body "$(cat <<'EOF' ... EOF)".

Do NOT batch-file. Confirm each one.

6. Iterate

Process each issue independently. The user signals when the QA session is done.

Hard Rules

No file paths or line numbers in issue bodies. They become stale.
Use the project's domain language (CONTEXT.md).
Describe behaviors, not code mechanics.
Reproduction steps mandatory.
Concise — readable in 30 seconds.
Many thin issues > few thick issues.
Mark blocking honestly to maximize parallelism.
ALWAYS ask before gh issue create. Never auto-file.
Never auto-commit. This skill doesn't modify code anyway, but if it ever does — ask first.

Hand-offs

Issue filed, want to debug it now → evanflow-debug
Issue reveals a feature gap, not a bug → evanflow-brainstorming (or evanflow-prd if substantial)

Frequently asked questions

What does the Evanflow Qa AI skill do?

Why use Evanflow Qa on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evanklem/evanflow/tree/main/skills/evanflow-qa. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Evanflow 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 Evanflow Qa?

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

Is the Evanflow Qa AI skill free?

It is published on GitHub by evanklem. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

EvanFlow: QA

Vocabulary

When to Use

The Flow

1. Listen Lightly

2. Explore in Background (optional)

3. Assess Scope

4. Draft the Issue(s)

5. File (with permission)

6. Iterate

Hard Rules

Hand-offs

Frequently asked questions

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