content-pipeline - End-to-end article batch content pipeline for Mokaair
Runs Mokaair article batches end-to-end from spec planning and drafting to fact-checking, ingestion, publishing, and page verification.
Tags
Updated: 2026-09-24Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Plan batch article specifications
- Dispatch writer and fact-checker agents
- Translate and review multi-locale content
- Run mechanical content lint checks
- Ingest content packs and diagrams
- Publish content packs to production
- Verify live pages and handover
Inputs
- Batch specification files
- Content pack JSON and images
- Shared numbers rule configuration
- Administrator email configuration
Outputs
- Ingested content pack JSON files
- Rendered PNG diagrams and images
- Fact-check reports and STATE files
- Published article pages on site
Requirements
- Python environment for apps/api
- Chromium binary for SVG rendering
- Docker Compose on production host
- LLM agent support
- Active administrator permission