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ai-video-skillsAI 视频技能

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

5,016

周安装

209

GitHub Stars

1

下载量

1,672
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:ai-video-skills(AI 视频技能)
来源仓库:https://github.com/chuyun/ai-video-skills
安装命令:
openclaw skills install ai-video-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 ai-video-skills

简介

用于构建与执行 Skills.video 视频生成的 REST API 请求。

  • 适用于开发者调试与记录视频调用流程,支持 OpenAPI 规范。
  • 使用时需确认接口权限与数据安全,涉及敏感内容应审核合规性。
  • 安装方式:通过 clawhub 安装,命令为 openclaw skills install ai-video-skills。
  • 注意:涉及用户数据或版权素材时,需额外核对授权与隐私政策。

SKILL.md

name
ai-video-skills
description
Build and execute skills.video video generation REST requests from OpenAPI specs. Use when user needs to create, debug, or document video generation calls on open.skills.video.

ai-video-skills

Overview

Use this skill to turn OpenAPI definitions into working video-generation API calls for skills.video. Prefer deterministic extraction from openapi.json instead of guessing fields.

Workflow

  1. Check API key and bootstrap environment on first use.
  2. Identify the active spec.
  3. Select the SSE endpoint pair for a video model.
  4. Extract request schema and generate a payload template.
  5. Execute POST /generation/sse/... as default and keep the stream open.
  6. If SSE does not reach terminal completion, poll GET /generation/{id} to terminal status.
  7. Return only terminal result (COMPLETED/SUCCEEDED/FAILED/CANCELED), never IN_PROGRESS.
  8. Apply retry and failure handling.

0) Check API key (first run)

Run this check before any API call.

python scripts/ensure_api_key.py

If ok is false, tell the user to:

  • Open https://skills.video/dashboard/developer and log in
  • Click Create API Key
  • Export the key as SKILLS_VIDEO_API_KEY

Example:

export SKILLS_VIDEO_API_KEY="<YOUR_API_KEY>"

1) Identify the spec

Load the most specific OpenAPI first.

  • Prefer model-specific OpenAPI when available (for example /v1/openapi.json under a model namespace).
  • Fall back to platform-level openapi.json.
  • Use references/open-platform-api.md for base URL, auth, and async lifecycle.

2) Select a video endpoint

If docs.json exists, derive video endpoints from the Videos navigation group. Use default_endpoints from the script output as the primary list (SSE first).

python scripts/inspect_openapi.py \
  --openapi /abs/path/to/openapi.json \
  --docs /abs/path/to/docs.json \
  --list-endpoints

When docs.json is unavailable, pass a known endpoint directly (for example /generation/sse/kling-ai/kling-v2.6). Use references/video-model-endpoints.md as a snapshot list.

3) Extract schema and build payload

Inspect endpoint details and generate a request template from required/default fields.

python scripts/inspect_openapi.py \
  --openapi /abs/path/to/openapi.json \
  --endpoint /generation/sse/kling-ai/kling-v2.6 \
  --include-template

Use the returned request_template as the starting point. Do not add fields not defined by the endpoint schema. Use default_create_endpoint from output unless an explicit override is required.

4) Execute SSE request (default) with automatic fallback

Prefer the helper script. It creates via SSE and keeps streaming; if stream ends before terminal completion, it automatically switches to polling fallback.

python scripts/create_and_wait.py \
  --sse-endpoint /generation/sse/kling-ai/kling-v2.6 \
  --payload '{"prompt":"A cinematic dolly shot of neon city rain at night"}' \
  --poll-timeout 900 \
  --poll-interval 3

Treat SSE as the default result channel. Do not finish the task on IN_QUEUE or IN_PROGRESS. Return only after terminal result.

5) Fall back to polling

Use polling only if SSE cannot be established, disconnects early, or does not reach a terminal state. Use GET /generation/{id} (or model-spec equivalent path if the OpenAPI uses /v1/...).

curl -X GET "https://open.skills.video/api/v1/generation/<GENERATION_ID>" \
  -H "Authorization: Bearer $SKILLS_VIDEO_API_KEY"

Stop polling on terminal states:

  • COMPLETED
  • FAILED
  • CANCELED

Recommended helper:

python scripts/wait_generation.py \
  --generation-id <GENERATION_ID> \
  --timeout 900 \
  --interval 3

Return to user only after helper emits event=terminal.

6) Handle errors and retries

Handle these response codes for create, SSE, and fallback poll operations:

  • 400: request format issue
  • 401: missing/invalid API key
  • 402: possible payment/credits issue in runtime
  • 404: endpoint or generation id not found
  • 422: schema validation failed

Classify non-2xx runtime errors with:

python scripts/handle_runtime_error.py \
  --status <HTTP_STATUS> \
  --body '<RAW_ERROR_BODY_JSON_OR_TEXT>'

If category is insufficient_credits, tell the user to recharge:

  • Open https://skills.video/dashboard and go to Billing/Credits
  • Recharge or purchase additional credits
  • Retry after recharge

Optional balance check:

curl -X GET "https://open.skills.video/api/v1/credits" \
  -H "Authorization: Bearer $SKILLS_VIDEO_API_KEY"

Apply retries only for transient conditions (network failure or temporary 5xx). Use bounded exponential backoff (for example 1s, 2s, 4s, max 16s, then fail). Do not retry unchanged payloads after 4xx validation errors.

Rate limits and timeouts

Treat rate limits and server-side timeout windows as unknown unless documented in the active OpenAPI or product docs. If unknown, explicitly note this in output and choose conservative client defaults.

Resources

  • scripts/ensure_api_key.py: validate SKILLS_VIDEO_API_KEY and show first-run setup guidance
  • scripts/handle_runtime_error.py: classify runtime errors and provide recharge guidance for insufficient credits
  • scripts/inspect_openapi.py: extract SSE/polling endpoint pair, contract, and payload template
  • scripts/create_and_wait.py: create via SSE and auto-fallback to polling when stream does not reach terminal status
  • scripts/wait_generation.py: poll generation status until terminal completion and return final response
  • references/open-platform-api.md: SSE-first lifecycle, fallback polling, retry baseline
  • references/video-model-endpoints.md: current video endpoint snapshot from docs.json

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

81.28%
按下载量换算1,359

安全审计

VirusTotal

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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