AgentVibes Content Creation and Management connects an AI coding agent to content-generation APIs for automated multimodal creation, review, formatting, and publishing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentvibes-content-skill
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agentvibes-content-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AgentVibes Content Creation and Management is an API wrapper skill for Openclaw Skills that helps developers and teams generate, manage, review, format, and distribute marketing content through an AI agent. It supports text, image, audio, HTML, Markdown, and PDF-oriented workflows while returning structured results that can be used directly with minimal post-processing.
The skill is designed for content automation rather than purely technical documentation. It accepts an instruction and optional context, invokes the AgentVibes API through the configured LLM and external service connection, then applies formatting, monitoring, retry, permission, and error-handling logic. It supports English and Simplified Chinese interaction and can be used on Windows, macOS, or Linux with compatible SKILL.md-based agents such as Claude Code, Cursor, Codex, and Gemini CLI.
Place the skill definition in the skills directory recognized by your AI agent, or enable it through the agent platform's skill-management workflow. The source document does not define a standalone package manager command or a separate dependency installation script.
Set the API key as an environment variable rather than hard-coding it in prompts, source files, or version control:
export API_KEY="${API_KEY:?Please set the API_KEY environment variable}"
Restart the current agent session or open a new terminal after configuration so the environment is available. Keep the key secret, use HTTPS for API traffic, and restrict access to authorized users.
Provide a required instruction and, when useful, additional context in the agent conversation. A typical logical request contains instruction as a string and optional context as a string. Confirm that the API key, network connection, input size, and user permissions are valid before starting a production workflow.
| Field | Type | Required | Purpose |
|---|---|---|---|
instruction |
string | Yes | User command describing the content task or management operation |
context |
string | No | Background information, brand guidance, audience details, or workflow context |
{
"success": true,
"data": {
"result": "Generated or processed skill result"
},
"error": null
}
The documented example contains a duplicated result key; integrations should treat data.result as the canonical output field and validate the response before downstream processing.
The document also lists a separate optimization profile with an average response target below 2 seconds, at least 10 concurrent requests, memory usage below 100 MB, input below 10 MB, and an error rate below 1%. Treat these as stated performance targets rather than universal guarantees, because actual results depend on the connected model, API service, workload, and network conditions.
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