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dropspace-content-engine

by @jclvsh

Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts,...

TERMINAL
clawhub install dropspace-content-engine

πŸ“– About This Skill


name: dropspace-content-engine description: "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 β€” 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." homepage: https://www.dropspace.dev/community/dropspace-content-engine source: https://github.com/joshchoi4881/dropspace-agents metadata: { "openclaw": { "emoji": "πŸ”„", "requires": { "env": ["DROPSPACE_API_KEY", "ANTHROPIC_API_KEY", "FAL_KEY"], "install": "git clone https://github.com/joshchoi4881/dropspace-agents && cd dropspace-agents && npm install" } } }

Dropspace Content Engine

Fully autonomous content pipeline. Every night: pull analytics β†’ identify winning hooks β†’ generate new posts β†’ schedule across 6 platforms. The feedback loop compounds β€” 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 β€” 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

1. Pulls 14 days of analytics from Dropspace API 2. Identifies winning hooks (posts with >2x average engagement) 3. Cross-references with X/Twitter research signals 4. Generates 7-14 new posts with AI (text, visual, video formats) 5. Fact-checks any claims about people, products, or events 6. Writes strategy notes that persist between runs (the loop compounds) 7. 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 |

Links

  • Community page: https://www.dropspace.dev/community/dropspace-content-engine
  • Case study: https://www.dropspace.dev/case-studies/march-2026
  • Repo: https://github.com/joshchoi4881/dropspace-agents
  • Dropspace API docs: https://www.dropspace.dev/docs
  • βš™οΈ Configuration

    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 β€” 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