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/install dropspace-content-engine
Description
Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts,...
README (SKILL.md)
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 |
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
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: dropspace-content-engine
Version: 1.0.1
The skill defines an autonomous social media content pipeline that integrates with the Dropspace API, Anthropic, and Fal.ai. It requires cloning an external GitHub repository (joshchoi4881/dropspace-agents) and installing standard Node.js dependencies. The instructions in SKILL.md are consistent with the stated purpose of multi-platform automation and include appropriate security advice, such as using .gitignore for environment variables, with no evidence of malicious intent or prompt injection.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dropspace-content-engine - After installation, invoke the skill by name or use
/dropspace-content-engine - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Initial release of dropspace-content-engine.
- Fully autonomous content pipeline: analyzes engagement data, generates new posts, and schedules across 6 platforms.
- Learns and self-improves nightly based on real engagement analytics.
- Supports multiple content formats including visual slideshows, tweets, Reddit threads, LinkedIn posts, and short-form video reactions.
- Easy setup via CLI wizard and .env configuration for API keys.
- Includes scripts for scheduled analytics refresh, content generation, and multi-platform posting automation.
v1.0.0
Initial release: Autonomous engine for cross-platform content creation and scheduling.
- Analyzes post performance across 6 major platforms nightly.
- Generates and schedules new AI-powered content (text, slideshows, video, UGC reactions) based on real engagement data.
- Automated feedback loop: each cycle adapts and improves content strategy.
- Setup wizard for API keys, platform selection, and configuration.
- Includes automation scripts for end-to-end pipeline and scheduling.
- Supports modular post formats for X/Twitter, LinkedIn, Reddit, TikTok, Instagram, and Facebook.
Metadata
Frequently Asked Questions
What is dropspace-content-engine?
Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts,... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.
How do I install dropspace-content-engine?
Run "/install dropspace-content-engine" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is dropspace-content-engine free?
Yes, dropspace-content-engine is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does dropspace-content-engine support?
dropspace-content-engine is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created dropspace-content-engine?
It is built and maintained by JCLVSH (@jclvsh); the current version is v1.0.1.
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