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Clawvisual

URL or long-form text to social carousel generator via local CLI + MCP endpoint.
通过本地 CLI + MCP 端点,将 URL 或长文本转换为社交轮播图
suinia
未分类 clawhub v1.0.0 1 版本 99751.9 Key: 需要
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概述

clawvisual

Use clawvisual as a callable skill for agent workflows. It can auto-start a local web/MCP service and expose stable CLI commands for generation and job polling.

Quick start

npm install -g clawvisual
clawvisual set CLAWVISUAL_LLM_API_KEY "your_openrouter_key"
clawvisual initialize
clawvisual convert --input "https://example.com/article" --slides auto
clawvisual status --job <job_id>

For local repo usage, you can also run:

npm run skill:clawvisual -- initialize

What it does

  • Convert URL or direct long-form text into social carousel output.
  • Provide job-based async workflow (convert -> status --job).
  • Support revision operations (revise, regenerate-cover).
  • Expose MCP JSON-RPC tools for OpenClaw and other agent runtimes.

Commands

  • clawvisual initialize: probe/start local service and print Web URL.
  • clawvisual status: check service identity (must be clawvisual-mcp).
  • clawvisual tools: list MCP tools.
  • clawvisual convert --input [--slides auto|1-8] [--ratio 4:5|1:1|9:16|16:9] [--lang ]
  • clawvisual status --job : query job state and result.
  • clawvisual revise --job --instruction [--intent rewrite_copy_style|regenerate_cover|regenerate_slides]
  • clawvisual regenerate-cover (--job [--instruction ] | --prompt ) [--ratio 4:5|1:1|9:16|16:9]
  • clawvisual call --name --args : raw tool invocation.

Config

Optional local config file:

  • ~/.clawvisual/config.json

Manage config with CLI:

clawvisual set CLAWVISUAL_LLM_API_KEY "your_key"
clawvisual get CLAWVISUAL_LLM_API_KEY
clawvisual config
clawvisual unset CLAWVISUAL_LLM_API_KEY

Supported keys:

  • CLAWVISUAL_LLM_API_KEY (alias: LLM_API_KEY)
  • CLAWVISUAL_LLM_API_URL (alias: LLM_API_URL)
  • CLAWVISUAL_LLM_MODEL (alias: LLM_MODEL)
  • CLAWVISUAL_MCP_URL (alias: MCP_URL)
  • CLAWVISUAL_API_KEY

When auto-starting local service, CLAWVISUAL_LLM_ values are mapped to runtime LLM_ envs.

Workflow pattern

  1. initialize
  2. convert
  3. Poll status --job until completion
  4. Optional revise / regenerate-cover
  5. Poll revised job with status --job

Output contract

All commands return JSON to stdout for deterministic parsing by upstream agents.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 21:29 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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