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vizard-api-skillsvizard API skills 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

2,101

周安装

85

GitHub Stars

2

下载量

660
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vizard-api-skills(vizard API skills 文档)
来源仓库:https://github.com/vizardai/vizard-api-skills
安装命令:
openclaw skills install vizard-api-skills
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vizard-api-skills

简介

提供 Vizard API 的接口设计和文档支持。

  • 适合视频处理服务的集成开发。vizard-api-skills 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 可生成 OpenAPI 草稿和错误码规范。
  • 建议结合实际业务场景定义字段语义。
  • 涉及敏感操作时应完善鉴权机制。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
using-vizard-api
description
Use when needing to clip long videos into short social media clips, edit short videos with subtitles or b-roll, publish clips to social platforms, or generate AI captions using Vizard.ai API. Use when user asks to automate video content creation with Vizard.

Using Vizard.ai API

Overview

Vizard API converts long videos into AI-clipped short videos optimized for TikTok, YouTube Shorts, and Instagram Reels. It also edits short videos with subtitles, B-roll, and branding. All endpoints use REST + JSON.

Base URL: https://elb-api.vizard.ai/hvizard-server-front/open-api/v1 Auth header: VIZARDAI_API_KEY: YOUR_API_KEY Requires paid Vizard plan.

Core Workflow

Submit Video → Poll for Results → (Optional) Publish / Generate Caption

Step 1: Submit a Video

Mode A — Clip a long video (returns multiple clips):

import requests, time

headers = {
    "Content-Type": "application/json",
    "VIZARDAI_API_KEY": "YOUR_API_KEY"
}

resp = requests.post(
    "https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/create",
    headers=headers,
    json={
        "videoUrl": "https://www.youtube.com/watch?v=XXXXX",
        "videoType": 2,        # 2=YouTube, 1=direct file, 3=GDrive, 4=Vimeo
        "lang": "en",          # or "auto" for auto-detect
        "preferLength": [0]    # 0=auto, 1=<30s, 2=30-60s, 3=60-90s, 4=>90s
    }
)
project_id = resp.json()["projectId"]

Mode B — Edit a short video (≤3 min, returns 1 edited video):

resp = requests.post(
    "https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/create",
    headers=headers,
    json={
        "videoUrl": "https://example.com/video.mp4",
        "videoType": 1,
        "ext": "mp4",
        "lang": "auto",
        "getClips": 0,          # 0 = editing mode
        "subtitleSwitch": 1,
        "headlineSwitch": 1,
        "autoBrollSwitch": 1,
        "removeSilenceSwitch": 1,
        "ratioOfClip": 1        # 1=9:16, 2=1:1, 3=4:5, 4=16:9
    }
)
project_id = resp.json()["projectId"]

Step 2: Poll for Results (every 30 seconds)

def wait_for_clips(project_id, api_key, max_wait=1200):
    headers = {"VIZARDAI_API_KEY": api_key}
    url = f"https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/query/{project_id}"
    
    for _ in range(max_wait // 30):
        time.sleep(30)
        r = requests.get(url, headers=headers).json()
        if r["code"] == 2000 and r.get("videos"):
            return r["videos"]   # list of clip objects
        if r["code"] not in (2000, 1000):
            raise RuntimeError(f"Error: {r}")
    raise TimeoutError("Processing timed out")

clips = wait_for_clips(project_id, "YOUR_API_KEY")
# Each clip: videoId, videoUrl (valid 7 days), title, transcript, viralScore

Step 3 (Optional): Publish to Social Media

# First get connected account IDs
accounts = requests.get(
    "https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/social-accounts",
    headers={"VIZARDAI_API_KEY": "YOUR_API_KEY"}
).json()["accounts"]

# Then publish
requests.post(
    "https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/publish-video",
    headers={**headers},
    json={
        "finalVideoId": clips[0]["videoId"],
        "socialAccountId": accounts[0]["id"],
        "post": ""   # empty = AI auto-generates caption + hashtags
    }
)

Step 3 (Optional): Generate AI Social Caption

resp = requests.post(
    "https://elb-api.vizard.ai/hvizard-server-front/open-api/v1/project/ai-social",
    headers=headers,
    json={
        "finalVideoId": clips[0]["videoId"],
        "aiSocialPlatform": 2,  # 1=General,2=TikTok,3=Instagram,4=YouTube,5=Facebook,6=LinkedIn,7=Twitter
        "tone": 2,              # 0=Neutral,1=Interesting,2=Catchy,3=Serious,4=Question
        "voice": 0              # 0=First person, 1=Third person
    }
)
caption = resp.json()["aiSocialContent"]

Quick Reference

See api-reference.md for full parameter tables, videoType values, status codes, and editing options.

Supported Video Sources (videoType)

ValueSource
1Direct file URL (.mp4/.mov/.avi/.3gp) — also requires ext
2YouTube
3Google Drive
4Vimeo
5StreamYard
6TikTok
7Twitter
9Twitch
10Loom
11Facebook
12LinkedIn

Key Status Codes

CodeMeaning
2000Success
1000Still processing (keep polling)
4001Invalid API key
4003Rate limit exceeded
4007Insufficient account time/credits
4008Failed to download video

Common Mistakes

  • Not waiting long enough: 4K or long videos can take 10-30 min. Poll every 30s; don't give up after a few retries.
  • Using getClips: 0 for a long video: Editing mode only works for videos ≤3 minutes.
  • Missing ext for direct files: videoType: 1 requires "ext": "mp4" (or other format).
  • videoUrl expires after 7 days: Re-query the API to get a fresh download link.
  • Social caption won't work on silent videos: ai-social endpoint requires spoken dialogue.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.76%
按下载量换算507

安全审计

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通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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