aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
$ npx -y skills add alinaqi/maggy --skill visual-validation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/visual-validationContext preview
The summary Claude sees to decide when to auto-load this skill.
Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions
name: visual-validation description: Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions when-to-use: When a UI or static-asset change needs visual verification before shipping user-invocable: false effort: medium
Every UI change should be visually verified before it ships. Peekaboo captures pixel-accurate screenshots. The system compares before/after and flags visual regressions. No manual "looks good to me" — the machine verifies what the machine built.
static/* files modified (detected by auto-review-hook or E2E testkit)
↓
peekaboo image --mode screen → ~/.maggy/visual-verify/after-{ts}.png
↓
Compare with latest baseline (previous after-*.png)
↓
AI evaluation: Gemini Flash analyzes screenshot for visual regressions
↓
Report: CLEAN or REGRESSION_DETECTED with specific issues# Install brew install steipete/tap/peekaboo # Capture full system screenshot peekaboo image --mode screen --retina --path /tmp/screen.png # Capture specific window peekaboo image --mode window --app "Google Chrome" --path /tmp/window.png # Verify Maggy dashboard after code change peekaboo image --mode window --app "Google Chrome" --path ~/.maggy/visual-verify/after-$(date -u +%Y%m%d-%H%M%S).png # Compare two screenshots ls -la ~/.maggy/visual-verify/after-*.png # review before/after pairs
# After making any static/ file change, Claude should: 1. git add maggy/maggy/static/ && git diff --stat HEAD # check what changed 2. Restart Maggy: lsof -ti :8080 | xargs kill && python3 -m maggy.main & 3. Wait for health: curl -s http://localhost:8080/api/health 4. Capture screenshot: peekaboo image --mode screen --path ~/.maggy/visual-verify/after-$(date -u +%Y%m%d-%H%M%S).png 5. Compare with latest baseline in ~/.maggy/visual-verify/ 6. AI evaluation: ~/bin/gemini-api --flash "Analyze this screenshot for visual regressions" 7. Report findings
# One-shot verification curl -s http://localhost:8080/api/health && \ peekaboo image --mode screen --path ~/.maggy/visual-verify/verify.png && \ echo "✓ Dashboard verified — screenshot at ~/.maggy/visual-verify/verify.png"
| Scenario | Command | |----------|---------| | After static/ change | `peekaboo image --mode screen --path ~/.maggy/visual-verify/after.png` | | Before committing UI change | Run verification flow above | | Reviewing dashboard | Screenshot + AI analysis | | Build-in-public post | Auto-captured by plugin | | Cross-browser check | `peekaboo image --mode window --app "Safari"` |
Turn Claude Code into a self-reviewing, test-enforced engineering system that remembers context across sessions — then route work across 13 models from a single dashboard.
Repo: alinaqi/maggy
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing