EvanFlow: QA
SkillFiles & storageConversational 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the EvanFlow: QA skill
What this skill tells your AI
The instructions your AI receives, as published by evanklem/evanflow in skills/evanflow-qa/SKILL.md and read by ahel’s review.
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:
## 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):
## 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(orevanflow-prdif substantial)
Signals
- GitHub stars
- 418
- Forks
- 18
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
evanflow-qa- Source
- github.com/evanklem/evanflow