An automated content operations agent that executes an end-to-end SOP from topic selection and copywriting to image generation and multi-platform distribution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install content-swarm
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install content-swarm using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is content-swarm?
The content-swarm skill is a highly efficient technical framework designed for marketing teams and digital creators. Acting as an autonomous content factory agent, it orchestrates complex workflows covering trend tracking, platform-specific copywriting (including Xiaohongshu, WeChat, and Douyin), cover image creation, and automated cross-platform uploading.
By unifying multiple modular micro-agents under a strict Standard Operating Procedure (SOP), this tool guarantees high-volume asset output without compromising quality. It bridges the gap between creative ideation and rigorous multi-channel deployment, making it an essential addition to any developer or marketer's ecosystem of Openclaw Skills.
content-swarm Use Cases
- Automating cross-platform content creation and scheduling across Xiaohongshu, Douyin, WeChat, and Bilibili.
- Streamlining modern digital marketing campaigns with structured AIDA framework copywriting.
- Eliminating AI-generated boilerplate patterns using integrated anti-slop optimization checks.
- Programmatically designing social media card covers and publishing video assets concurrently.
How content-swarm Works
- Topic Selection & Planning: The agent analyzes industry trends, product launches, or knowledge bases using predefined formula matrices to output structured content blueprints.
- RAG Knowledge Retrieval: Queries internal knowledge bases via external skill integrations to fetch historical success patterns, accurate product specifications, and reference cases.
- Content Factory Generation: Generates contextual copy or scripts tailored to specific platform constraints (e.g., character limits, tone, and pacing metrics).
- Quality & Alignment Evaluation: Automatically pipes the draft through a compliance check engine to strip out AI tells and enforce target brand guidelines.
- Asset Design & Distribution: Triggers image generation layers for card assets and passes final media to automated uploading modules for one-click publishing across target channels.
content-swarm Setup
Initialization Sequence
To initialize a content task pipeline locally, run the following script configuration:
TASK_NAME="content-${TOPIC}-$(date +%Y%m%d)"
mkdir -p ~/.workbuddy/tasks/"$TASK_NAME"
cat > ~/.workbuddy/tasks/"$TASK_NAME"/task-plan.md << 'EOF'
# Task Plan - Content Production
## Target
Complete multi-platform production and distribution for {TOPIC}
EOF
touch ~/.workbuddy/tasks/"$TASK_NAME"/research-findings.md
content-swarm Data Schema & Taxonomy
The skill manages its workspace directory under ~/WorkBuddy/content/ and uses a predictable naming taxonomy for generated files:
| Deliverable Asset | Format | Naming Convention | Archive Location |
|---|---|---|---|
| Xiaohongshu Note | MD + PNG | xiaohongshu_{topic}_{date} |
~/WorkBuddy/content/xhs/ |
| WeChat Article | HTML | wechat_{topic}_{date} |
~/WorkBuddy/content/wechat/ |
| Douyin Script | MD | douyin_{topic}_{date} |
~/WorkBuddy/content/douyin/ |
| Video Export | MP4 | video_{topic}_{date} |
~/WorkBuddy/content/video/ |
| Social Covers | PNG | cover_{platform}_{topic} |
~/WorkBuddy/content/cover/ |
content-swarm Advanced Features
- Structured Three-File Architecture: Dynamically records and manages lifecycle execution states using
task-plan.md,research-findings.md, andprogress-log.mdfile tracks. - Anti-AI Slop Guardrails: Evaluates content quality programmatically before publishing to reduce robotic signatures and ensure optimal human engagement.
- Cross-Agent Collaboration Framework: Seamlessly integrates with complementary Openclaw Skills such as
@ima-skill:knowledge-base,@content-factory, and@guizang-social-card-skillto execute unified swarm pipelines.
SKILL.md
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