dropspace-content-engine

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

Security Scan

The skill's requirements and runtime instructions are coherent with a multi-platform content-generation pipeline; nothing requested appears disproportionate to that purpose, but you should still review the upstream repository and be cautious when running npm install and providing API keys.

Purpose & Capability

Name and description (autonomous multi-platform content pipeline) align with the declared env vars (DROPSPACE_API_KEY for the Dropspace API, ANTHROPIC_API_KEY for LLM-assisted generation, FAL_KEY for visual/video generation) and the SKILL.md commands that call scripts to analyze, generate, and schedule content.

Instruction Scope

SKILL.md instructs cloning the repo, running npm install, running setup.js to provide API keys/platform selection, and executing node scripts that pull analytics and schedule posts via Dropspace. This stays within the described purpose. One notable point: the setup likely collects platform-specific credentials (for scheduling to third‑party platforms) but those platform tokens are not enumerated in requires.env; the SKILL.md also references an optional 'Bird CLI' run for X/Twitter research which would require separate credentials if used.

Install Mechanism

No formal install spec in the registry, but SKILL.md instructs 'git clone https://github.com/joshchoi4881/dropspace-agents && npm install'. Clone from GitHub is expected for a project-based skill, but npm install will execute code from the repo and its dependencies (including any postinstall scripts). It's standard but worth reviewing the repo and package.json before running in production.

Credentials

The three required env vars map to expected services (Dropspace, Anthropic, Fal). However, the setup likely requests additional platform credentials (social accounts, scheduler tokens) which are not listed in requires.env — you should expect the .env produced by setup to contain extra secrets. Ensure those are scoped appropriately and not reused elsewhere.

Persistence & Privilege

The skill is not always-enabled and does not request elevated platform privileges in the registry metadata. It instructs creating/storing a .env file for keys (normal for app setup) and does not attempt to modify other skills or system-wide agent settings.

Assessment

This skill appears to do what it claims, but take the usual precautions before running code that will post content and hold API keys: 1) Inspect the GitHub repo (particularly package.json, setup.js, and scripts/) for postinstall scripts or unexpected network actions before running npm install. 2) Run initial tests with limited-scope or test accounts (so posts won't go to your main social accounts). 3) Restrict and rotate API keys you provide (use short-lived or scoped credentials if possible). 4) Keep .env out of source control as recommended. 5) Be aware the setup may prompt for additional platform tokens (not listed in registry metadata) and optional tooling like the Bird CLI will need separate credentials.

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

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