Autonomous Short-Form Content Engine Development

I need a developer to build an autonomous short‑form content engine using OpenClaw (agent runtime) + Python (scheduling, storage, logging).
The system generates upload‑ready YouTube Shorts/TikTok packages using an 8‑agent pipeline:
1. Trend Scanner
2. Research Agent
3. Script Generator
4. Video Prompt Generator
5. Upload Metadata Agent
6. Safety/Copyright Filter
7. Viral Pattern Learning
8. Channel Growth Optimization
Agents communicate via JSON, run on a VPS, and must be modular, idempotent, and resumable.
Scheduler‑triggered: Trend, Research, Learning, Growth
Pipeline‑triggered: Script → Prompts → Upload → Safety
Safety supports: , (max 2 cycles), .
System needs:
• JSON schemas for all agents
• Storage structure (research/scripts/prompts/uploads/trends/learning/safety/performance/logs)
• Performance ingestion (CSV/JSON)
• Token/cost tracking
• 3 daily upload slots (AEST)
Models via API (Claude/GPT).
Deliverables: full pipeline, orchestration, scheduling, logging, safety loop, cost tracking, documentation.