danielkerridge/claude-code-power-platform-skills · Archived

visual-qa

AI-powered visual QA testing that walks through an app in the browser, records every action with annotated captions (what was done, what should happen), captures screenshots/GIFs, and sends the evidence to Gemini for automated review. Catches UX misalignments, broken flows, missing states, and edge cases that traditional tests miss. Can use Agent Teams for parallel test coverage. Triggers on: "visual test", "visual qa", "test the app", "qa review", "check the ui", "record a test", "walk through…

First seen Feb 20, 2026

Installation

$ npx skills add danielkerridge/claude-code-power-platform-skills --skill visual-qa

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 59
License MIT
Default branch master
Open issues 1
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
CompatibilityClaude Code with Claude in Chrome MCP, Gemini API for review
Declared agents claude-code gemini
More metadata
author
custom
version
1.0.0
platform
Any web application
requires
Claude in Chrome extension, Gemini API key

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,079 B
  • docs SUMMARY.md 641 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

Visual QA — AI-Powered Visual Testing Skill

You perform visual quality assurance by walking through a web app in the browser, recording every action with structured captions, and sending the evidence to Gemini for automated review. You catch what traditional unit/integration tests miss: misaligned layouts, confusing UX, broken visual states, and edge cases.

CRITICAL RULES

  1. Take a screenshot BEFORE and AFTER every action. This creates the visual evidence chain.
  2. Log every action with the structured caption format. Every click, type, scroll, and

wait must have an ACTION, INTENT, and EXPECT block. Read resources/caption-format.md.

  1. Never skip the edge case checklist. After the happy path, run through edge cases.

Read resources/edge-cases.md.

  1. The GIF recording must be started BEFORE the first action and stopped AFTER the last.
  2. Gemini reviews the FULL evidence — screenshots + captions + GIF. Not just one piece.

How It Works

┌─────────────┐    ┌──────────────┐    ┌─────────────┐    ┌──────────────┐
│ 1. Plan the │───▶│ 2. Walk the  │───▶│ 3. Collect   │───▶│ 4. Send to   │
│    test run  │    │    app       │    │    evidence  │    │    Gemini     │
└─────────────┘    └──────────────┘    └─────────────┘    └──────────────┘
  What to test       Click, type,       Screenshots,        AI reviews
  and expect         scroll, wait       GIF, captions       actual vs expected

Workflow

Phase 1 — Plan the Test Run

Before touching the browser, define the test plan:

  1. What app? Get the URL from the user
  2. What flows? List the user journeys to test (e.g., "create a record, edit it, delete it")
  3. What to check? Define expected visual states for each step

Write the test plan as a caption script. Read resources/caption-format.md for the format.

Phase 2 — Execute the Test Run

Use Claude in Chrome tools to walk through the app:

1. Navigate to the app URL (mcp__claude-in-chrome__navigate)
2. Start GIF recording (mcp__claude-in-chrome__gif_creator: start_recording)
3. Take initial screenshot (mcp__claude-in-chrome__computer: screenshot)
4. For each test step:
   a. Log the caption (ACTION, INTENT, EXPECT)
   b. Take a "before" screenshot
   c. Perform the action (click, type, scroll)
   d. Wait for the page to settle
   e. Take an "after" screenshot
   f. Note any discrepancies from expected behavior
5. Stop GIF recording (mcp__claude-in-chrome__gif_creator: stop_recording)
6. Export GIF (mcp__claude-in-chrome__gif_creator: export)

Phase 3 — Edge Case Testing

After the happy path, run through the edge case checklist in resources/edge-cases.md. For each applicable edge case:

  • Attempt the action
  • Screenshot the result
  • Log whether it passed or failed

Phase 4 — Compile Evidence

Gather all evidence into a structured report:

  • The caption script (expected behavior)
  • Screenshots at each step (actual behavior)
  • The GIF recording (full flow)
  • Edge case results

Phase 5 — Gemini Review (Optional)

If the user has a Gemini API key, send the evidence for AI review. Read resources/gemini-review.md for the integration approach.

Gemini analyzes:

  • Visual alignment (are elements properly positioned?)
  • Content accuracy (do labels/values match expectations?)
  • State consistency (do UI states match the action taken?)
  • Accessibility issues (contrast, text size, touch targets)
  • Missing feedback (loading states, error messages, confirmations)

Phase 6 — Report

Present findings in this format:

## Visual QA Report — [App Name]
Date: [date]
Flows Tested: [count]
Edge Cases Checked: [count]

### Results Summary
PASS: [count]    FAIL: [count]    PARTIAL: [count]

### Findings

FINDING #1 [SEVERITY: Critical]
STEP: [which step in the flow]
EXPECTED: [what should have happened]
ACTUAL: [what actually happened]
SCREENSHOT: [reference to screenshot]
RECOMMENDATION: [how to fix]

Agent Team Mode (Optional)

For large apps, spawn a team for parallel test coverage:

Role Agent Name Tests
Happy Path Tester happy-path Core user flows, CRUD operations
Edge Case Hunter edge-hunter Empty states, long text, permissions, error handling
Visual Inspector visual-inspector Layout, alignment, responsive, accessibility

Each agent walks the app independently and produces their own findings. The Lead merges results into a single report.

Read resources/team-testing.md for agent team test orchestration.

Without Claude in Chrome

If the Chrome extension isn't available, the skill can still generate:

  • A structured test plan with the caption format
  • An edge case checklist customized to the app
  • A manual testing script the user can follow

The user would then record their own screen and send the video + captions to Gemini.