DeepContent for Openclaw

An AI-driven content engine that transforms text prompts into branded social media assets, event posters, and speaker cards using pre-defined recipes.

thierrypdamiba
v1.2.0
Apr 7, 2026
0
726
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install deepcontent

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install deepcontent 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 DeepContent?

DeepContent is a specialized skill within the Openclaw Skills library designed to bridge the gap between AI generation and professional marketing collateral. It leverages a dedicated MCP server to handle complex workflows involving template-based image editing and structured content generation. Unlike simple text-based LLMs, this skill specifically targets the creation of ready-to-use assets such as LinkedIn partnership posts and high-quality event announcements.

By integrating DeepContent into your workflow, you gain access to a library of content recipes that automate the tedious parts of brand management. The skill is capable of taking basic event details and turning them into visual posters or speaker announcements, managing everything from logo placement to caption drafting. It is an essential component for teams using Openclaw Skills to maintain brand consistency across various social and professional channels.

DeepContent Use Cases

  • Creating professional event posters with custom branding and sponsor logos.
  • Automating speaker announcement cards for webinars, conferences, and digital summits.
  • Generating structured LinkedIn partnership announcements from brief summaries.
  • Discovering and listing available brand recipes and content templates for consistent output.
  • Scaling social media presence by generating both visual and textual assets in a single workflow.

How DeepContent Works

  1. The user triggers the skill by mentioning content recipes, event posters, or social media generation requests.
  2. The AI agent utilizes the listRecipesTool to identify the correct recipe and understand the necessary data requirements.
  3. For visual assets, the agent verifies if template URLs, logos, or headshots are provided; if not, it performs a web search to find relevant public assets.
  4. The agent calls the appropriate generation tool (like createEventPosterTool) on the DeepContent server.
  5. The system processes the image generation or text formatting, assigning a unique generation_id for tracking and persistence.
  6. The final output is returned as a series of content blocks, featuring both the generated media and the accompanying social media copy.

DeepContent Setup

To get started with DeepContent in your environment, follow these installation steps:

# Install the DeepContent MCP server via your package manager
npx @openclaw/mcp-server-deepcontent --install

# Configure your agent to recognize the deepcontent skill within Openclaw Skills
openclaw skill enable deepcontent

# Verify connection by listing available recipes
openclaw call deepcontent listRecipesTool

DeepContent Data Schema & Taxonomy

The skill returns structured data ensuring that your AI agent can parse both visual and text elements accurately.

Attribute Description
generation_id A unique UUID linking to the persisted record on the DeepContent platform.
status The current state of the request (e.g., success, error).
blocks An array of content pieces containing types like 'image' (URL) or 'text' (copy).
recipe_id The specific template identifier used to generate the asset.

DeepContent Advanced Features

  • Intelligent web searching for company logos and speaker headshots to fulfill recipe requirements automatically.
  • Automatic inference of taglines and dates from event names when user input is incomplete.
  • Built-in retry logic to handle high-latency image generation tasks that take 2-3 minutes.
  • Graceful fallback to text-only content if image processing fails or is not required.
  • Support for multi-block responses, allowing the generation of a complete social media package in one call via Openclaw Skills.

SKILL.md


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