GitHub - joshchoi4881/dropspace-agents

dropspace-agent — Automation Pipeline Core

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.

Quick Start

# 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

Credentials

Required for all templates:

DROPSPACE_API_KEY — get from dropspace.dev/settings
ANTHROPIC_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 or brew install steipete/formulae/bird
Export browser cookies: BIRD_AUTH_TOKEN and BIRD_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)

For Slack notifications (optional):

SLACK_BOT_TOKEN — Slack bot token (xoxb-...). Scripts send reports directly to each app's configured Slack channel after runs complete.
Configure notifications.slackChannel in each app's app.json with the target channel ID.
Without this: scripts still run fine, reports just go to stdout only (cron agent can still relay if configured).

App Configuration

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 or manual
notifications: {channel, target} for cron delivery (supports slack, telegram, discord, etc.)
skipDays: Array of day numbers (0=Sunday, 6=Saturday) to skip all posting

Layout

~/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)

Scripts

~/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 for the day in one pass
│   │                              #   Pre-configured posts: PATCH launchId with scheduled date
│   │                              #   AI-generated posts: run engine to create + schedule
│   ├── add-posts.js               # Atomically add posts + strategy notes to queue
│   ├── run-x-research.js          # X/Twitter research via Bird CLI
│   ├── run-self-improve-all.js    # Run all ai-generated apps with auto-retry on failure
│   ├── cleanup-posts.js           # Remove old post image assets
│   ├── cross-platform-report.js   # Cross-platform analysis
│   ├── midnight-report.js         # Data report for midnight ops
│   ├── init-app.js                # Scaffold a new app (dirs + templates)
│   ├── daily-schedule-report.js   # Today's schedule summary
│   ├── refresh-tracking.js        # Pull analytics into TRACKING.md
│   ├── refresh-context.js         # Refresh context files
│   ├── setup-crons.js             # Print cron configuration
│   ├── list-templates.js          # List available templates
│   └── test-pipeline.js           # End-to-end pipeline test
├── docs/
│   ├── CRON_RULES.md              # Self-healing protocol + pipeline architecture
│   └── ANTI-PATTERNS.md           # Banned AI writing patterns
├── load-env.sh                    # Load env vars (copy from templates/load-env.example.sh)
└── README.md

Script Invocation

All scripts use --app and --platform (where applicable):

# Self-improve for a platform
node engines/self-improve-engine.js --app dropspace --platform tiktok --days 14

# Create a visual post
node engines/create-visual-post-engine.js --app dropspace --platform tiktok --next --schedule "2026-03-04T12:00:00Z"

# Create a text post
node engines/create-text-post-engine.js --app dropspace --platform twitter --next --schedule "2026-03-04T14:30:00Z"

# Schedule all posts for the day
node scripts/schedule-day.js --app dropspace

# Add posts to queue
echo '{"posts":[...], "notes":"...", "crossNotes":"..."}' | node scripts/add-posts.js --app dropspace --platform tiktok

# Initialize a new app
node scripts/init-app.js --app myapp --platforms tiktok,instagram,twitter

Daily Cron Flow (per app)

12:00 AM  midnight              → Monitoring, reports, maintenance, image cleanup
12:30 AM  x-research            → Bird CLI scans X → x-research-signals.json
 1:00 AM  self-improve-all      → All ai-generated apps/platforms in one session. Analyze + generate posts + fact-check via web_search/bird.
 2:00 AM  schedule-day          → Create all posts via Dropspace
                                   ai-generated: run engines on-demand
                                   manual: PATCH launchId with scheduled date
 7AM-7PM  Dropspace publishes   → Webhook → Slack report
Ongoing   Analytics cron         → Detects post deletions → post.deleted webhook → Slack

Adding a New App

# 1. Scaffold
node ~/dropspace/private/scripts/init-app.js --app myapp --platforms tiktok,instagram,twitter

# 2. Configure
vim ~/dropspace/apps/myapp/app.json  # Fill in: pipelineType, notifications, skipDays, integrations, posting times

# 3. Add crons (stagger times so they don't overlap with existing apps)

Pre-configured Pipeline Flow

For apps with pipelineType: "manual" (e.g. Community Events):

Queue entries are added with a launchId — the launch already exists in Dropspace (e.g. created by the clipper skill)
schedule-day.js PATCHes each launch with a scheduled_date instead of running an AI engine
self-improve-engine.js is skipped (no AI content generation needed)
Analytics still flow back via Dropspace webhooks → posts.json

Framework Setup Guides

See frameworks/ for install instructions tailored to specific AI tools: OpenClaw, Claude Code, Cursor, and Manus.

推荐订阅源

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