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All social media automations use this shared library. Supports multiple apps with two pipeline types: - ai-generated — full pipeline: self-improve → AI post generation → scheduling → publishing - manual — pre-built launches with launchId in queue; schedule only, no AI engine Platform-specific behavior is defined in platforms.js (config registry) and app.json (per-app config). No per-platform scripts needed. # 1. Clone and install git clone https://github.com/joshchoi4881/dropspace-agents.git cd dropspace-agents npm install # canvas is optional — only needed for visual formats (TikTok/Instagram slideshows). # If it fails to install, text-only formats still work fine. # To install canvas manually (requires system deps): # macOS: brew install pkg-config cairo pango libpng jpeg giflib librsvg && npm install canvas # Ubuntu: sudo apt install build-essential libcairo2-dev libpango1.0-dev libjpeg-dev libgif-dev librsvg2-dev && npm install canvas # 2. Set up environment (pick one) # Option A: Shell script cp templates/load-env.example.sh load-env.sh # Edit load-env.sh, then: source load-env.sh # Option B: .env file cp templates/.env.example .env # Edit .env, then: source .env # 3. Pick a template and run setup node setup.js --list-templates node setup.js --template dropspace-content-engine # 4. Validate your setup source load-env.sh # or: source .env node scripts/test-pipeline.js --app myapp Required for all templates: DROPSPACE_API_KEY — get from dropspace.dev/settingsANTHROPIC_API_KEY — for text generation For visual/video formats (TikTok, Instagram): FAL_KEY — for image/video generation via fal.ai For clipper/slideshow templates (Google Drive access): - Option A: Set GOOGLE_WORKSPACE_CLI_CREDENTIALS_FILE to your GWS credentials JSON path - Option B: Set GWS_VAULT_PATH for 1Password-based credential loading For X/Twitter research + fact-checking (recommended): - Bird CLI — npm install -g @nicepkg/bird orbrew install steipete/formulae/bird - Export browser cookies: BIRD_AUTH_TOKEN andBIRD_CT0 - Used for: x-research cron (trending hooks) AND self-improve fact-checking (verifying claims about recent events/people before posting) - Without Bird: x-research is skipped, and fact-checking falls back to web_search only (less current for Twitter-specific topics) All app config is centralized in ~/dropspace/apps/{app}/app.json . Custom data directory: Set APPS_DATA_ROOT to override the default~/dropspace/apps/ location. All scripts use this for path resolution. Example: { "name": "dropspace", "pipelineType": "ai-generated", "notifications": { "channel": "slack", "target": "YOUR_CHANNEL_ID" }, "skipDays": [], "platforms": { "tiktok": { "enabled": true, "postingTimes": ["08:00", "13:00", "18:00"], "weekdaysOnly": false } }, "integrations": { "supabase": {}, "stripe": {}, "posthog": {} } } Key fields: - pipelineType: ai-generated ormanual - notifications: {channel, target} for cron delivery (supports slack, telegram, discord, etc.) - skipDays: Array of day numbers (0=Sunday, 6=Saturday) to skip all posting ~/dropspace/apps/ ├── dropspace/ # App: Dropspace (ai-generated) │ ├── app.json # App identity + integrations + platform config │ ├── shared-failures.json # Cross-platform directive failure rules │ ├── insights.json # Cross-platform strategy notes │ ├── x-research-signals.json # Latest X research │ ├── reports/ # Cross-platform analysis reports │ ├── tiktok/ │ │ ├── strategy.json # Queue, notes (posting times in app.json) │ │ ├── posts.json # Historical performance │ │ ├── failures.json # Directive failure rules │ │ ├── experiments.json # Format experiment tracking │ │ ├── pending-batches.json # (visual only) │ │ └── posts/ # Image assets │ ├── instagram/ │ ├── facebook/ │ ├── twitter/ │ ├── linkedin/ │ └── reddit/ ├── myapp/ # App: Your App ├── cache/ # Shared API response cache └── node_modules/ # Shared deps (canvas) ~/dropspace/private/ ├── core/ │ ├── paths.js # Single source of truth for all path resolution │ ├── platforms.js # Platform config registry (replaces 27 wrapper scripts) │ ├── helpers.js # Timezone, JSON I/O, CLI parsing, referrer mapping │ ├── api.js # Dropspace, Stripe, Supabase, PostHog, Sentry, GA4 API clients │ ├── formats.js # Format registry (FORMATS + FORMAT_PLATFORMS) with generator types │ │ # Generator types: ai-visual, ai-text, ai-video, │ │ # drive-photos, drive-clips, manual │ ├── correlations.js # Data-driven failure detection (replaces text failure rules) │ ├── launch.js # Publish + verify + dequeue helpers │ ├── media-gen.js # Image/video generation (fal, replicate, openai) │ ├── overlay.js # Canvas text overlay ├── engines/ │ ├── self-improve-engine.js # Analytics + strategy optimization │ ├── create-visual-post-engine.js # Image gen → overlay → compress → upload (TikTok, IG, FB) │ ├── create-text-post-engine.js # Text post → upload (Twitter, LinkedIn, Reddit) │ └── create-video-post-engine.js # Video post → Drive upload → Dropspace ├── scripts/ │ ├── schedule-day.js # Schedule all posts f