Content Factory v2.0 — AI Content Machine Platform

Compatible with: Gemini CLI, Claude Code, Cursor, OpenCode, Kimi CLI, Cline, Codex, and any MCP-compatible agent.

How This Skill Works

Self-learning AI content factory with real-time dashboard, multi-agent support, and token management. Generates, audits, and deploys SEO-optimized content at scale. Read SKILL.md for complete architecture.

Quick Start

# New project (interactive wizard)
python3 scripts/wizard.py

# Full pipeline with dashboard
python3 scripts/pipeline.py --dashboard

# Pipeline with budget limit
python3 scripts/pipeline.py --dashboard --budget 5.0

# Check status
python3 scripts/pipeline.py --status

# Dashboard only
python3 scripts/dashboard_server.py

# Token usage
python3 scripts/token_manager.py status

Multi-Agent Protocol

When working alongside other agents:

# 1. Check task queue
python3 scripts/agent_dispatcher.py status

# 2. Agent claims a task (replace AGENT_ID with your identifier)
#    Use the AgentDispatcher class in your scripts:
#    from agent_dispatcher import AgentDispatcher
#    d = AgentDispatcher(); task = d.claim_next("gemini-1")

# 3. Complete or fail task
#    d.complete(task_id, "gemini-1", {"result": "ok"})
#    d.fail(task_id, "gemini-1", "reason")

12 Modes

EXTRACT, PLAN, WRITE, AUDIT, SEO, PUBLISH, LEARN, RESEARCH, REVIEW, PIPELINE, DASHBOARD, LANDING

Landing Pages

# Generate landing pages from persona config
python3 scripts/landing_generator.py --config content-factory.config.json

# List personas
python3 scripts/landing_generator.py --config content-factory.config.json --list

Workflows

/create /content-factory /extract /write-batch /write /edit /audit-fix /seo-optimize /publish /learn /research /schedule /dashboard /landing