Self-Updating Publishing Engine
Workflow Vault is designed to operate on complete autopilot. The GitHub Action runner acts as an autonomous technical researcher, compiler, QA gatekeeper, and publisher.
Cron runs twice weekly (or 1-click manual trigger)
Gemini 2.5 Flash queries trending tech + schema fallback
Strict schema check + static compilation test
Auto-commits & triggers live host deployment
1. How to Enable Live AI Generation (2 Minutes)
To allow the runner to autonomously research new technologies and write complete code blueprints, add your API key in GitHub Secrets:
Generate an API key with zero subscription cost at Google AI Studio.
In your GitHub repository (lubinda2003/Workflow-valt):
Go to Settings → Secrets and variables → Actions → Click New repository secret.
Go to Settings → Actions → General.
Scroll down to Workflow permissions and select "Read and write permissions" so GitHub Actions can push verified updates directly to main.
2. Automated Asset & OpenGraph Generation (Puppeteer & Playwright)
The pipeline includes an autonomous graphics engine in scripts/autonomous-asset-engine.mjs. When a new workflow is synthesized:
- Zero-Dependency Vector Generation: Instantly compiles high-contrast, resolution-independent SVG social previews and schematic architecture diagrams into
public/og/[slug].svg. - Headless Browser Support: If Playwright or Puppeteer is added to your GitHub runner (
npx playwright install), the pipeline automatically takes pixel-perfect 1200x630 PNG snapshots during release. - Automatic Git Staging: All generated visual assets are automatically committed to the repository alongside the workflow JSON.
3. How to Test & Trigger the Pipeline
You can run the publishing engine manually at any time without waiting for the scheduled cron:
Option A: 1-Click Trigger on GitHub
- Go to the Actions tab in your GitHub repository.
- Click Autonomous Blueprint Publishing Engine in the left sidebar.
- Click Run workflow → Select branch
main→ Click Run workflow.
Option B: Run Locally via CLI
You can test the engine locally on your machine before pushing:
# Test with live Gemini AI
GEMINI_API_KEY="your-key-here" npm run auto:publish
# Or test with curated fallback registry
npm run auto:publish