dropspace-content-engine

Workflows

Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts, reddit threads), schedules via Dropspace API. Gets smarter every night — each cycle learns from real engagement data. Use when asked to set up autonomous content posting, run the content engine, or manage multi-platform social media automation.

Install

openclaw skills install dropspace-content-engine

Dropspace Content Engine

Fully autonomous content pipeline. Every night: pull analytics → identify winning hooks → generate new posts → schedule across 6 platforms. The feedback loop compounds — each cycle produces better content because it learns from real engagement data.

Setup

1. Clone and install

git clone https://github.com/joshchoi4881/dropspace-agents && cd dropspace-agents && npm install

If canvas fails to install, that's fine — text-only formats still work. For visual formats (TikTok/Instagram slideshows): macOS brew install pkg-config cairo pango, Linux apt install libcairo2-dev libpango1.0-dev, then npm install again.

2. Run the setup wizard

node setup.js --template dropspace-content-engine

Walks you through API keys, platform selection, and app configuration.

3. Set your API keys

export DROPSPACE_API_KEY="ds_live_..."     # from dropspace.dev/settings/api
export ANTHROPIC_API_KEY="sk-ant-..."       # from console.anthropic.com
export FAL_KEY="fal_..."                    # from fal.ai (for visual/video formats)

Save in a .env file (copy from templates/.env.example). Add .env to .gitignore to avoid committing secrets.

4. Validate

node scripts/test-pipeline.js --app myapp

Run the Pipeline

source .env

# Analyze performance + generate new posts
node scripts/run-self-improve-all.js --app myapp

# Schedule generated posts for today
node scripts/schedule-day.js --app myapp

Automate Nightly

Time (ET)	Script	What
12:00 AM	`scripts/refresh-tracking.js --all` + `scripts/cleanup-posts.js --all`	Refresh analytics, clean old media
12:30 AM	`scripts/run-x-research.js --app myapp`	Scan X for trending hooks (optional, needs Bird CLI)
1:00 AM	`scripts/run-self-improve-all.js --app myapp`	Analyze + generate (up to 60 min)
2:00 AM	`scripts/schedule-day.js --app myapp`	Schedule for today

What Happens Each Run

Pulls 14 days of analytics from Dropspace API
Identifies winning hooks (posts with >2x average engagement)
Cross-references with X/Twitter research signals
Generates 7-14 new posts with AI (text, visual, video formats)
Fact-checks any claims about people, products, or events
Writes strategy notes that persist between runs (the loop compounds)
Schedules posts across the day via Dropspace API

Content Formats

Format	Type	Platforms
story-slideshow	visual	TikTok, Instagram, Facebook
ugc-reaction	video	TikTok, Instagram
text-single	text	Twitter/X
text-post	text	LinkedIn, Reddit, Facebook