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freebeatfit-aifreebeatfit AI 搜索

Agent Skill

freebeatfit-ai 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,709

周安装

114

GitHub Stars

公开资料未说明

下载量

948
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:freebeatfit-ai(freebeatfit AI 搜索)
来源仓库:https://github.com/d3ter28/freebeatfit-ai
安装命令:
openclaw skills install freebeatfit-ai
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 freebeatfit-ai

简介

从文本提示生成 AI 音乐视频。freebeatfit-ai 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合多媒体创作者制作电影级配乐视频。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 输入风格与角色设定,生成多样化视听内容。
  • 建议预览输出质量,确保符合项目要求。
  • 通过 clawhub 安装,支持 MCP 客户端调用。

SKILL.md

name
freebeat-mcp-workflows
description
Generate AI music videos from any MCP client. Turn text prompts into cinematic music videos with multiple styles and modes. Existing features include character consistency, lip-sync, one-click generation, and special effects. Run Freebeat MCP creative workflows for effect and music video generation, including upload, parameter validation, async task polling, and result retrieval. Use when the user mentions Freebeat MCP, generate_effect, generate_music_video, list_effects, upload_audio, upload_image, get_task_status, or get_task_result.

Freebeat MCP Workflows

Use this skill for reliable Freebeat MCP task execution with correct tool order and async handling.

Quick Start

  1. Confirm the user goal:

- generate_effect (template-based effect generation) - generate_music_video (MV generation from uploaded audio)

  1. Gather required inputs.
  2. Execute the correct workflow.
  3. Poll task status until terminal state.
  4. Fetch result only after completion.

Tool Map

  • upload_audio: Upload local audio or import from URL. Returns music_id.
  • upload_image: Upload one or two images. Returns image_urls.
  • list_effects: Discover templates and defaults for effect generation.
  • generate_effect: Start async effect generation task.
  • generate_music_video: Start async MV generation task.
  • get_task_status: Poll async task state.
  • get_task_result: Fetch output only when status is completed.

Workflow A: Generate Effect

Preferred order:

  1. Call list_effects.
  2. Select effect_id and collect defaults:

- default_music_id - image_url (default image)

  1. Optional overrides:

- If user provides custom music, call upload_audio and use returned music_id. - If user provides custom image, call upload_image with one image and use image_urls[0].

  1. Call generate_effect with:

- effect_id (required) - music_id (required) - prompt (required, trimmed length 1..2000) - reference_image_urls (required, exactly one URL) - watermark (optional, default false)

  1. Poll with get_task_status until completed or failed.
  2. On completed, call get_task_result and return video_url and cover_url.

Workflow B: Generate Music Video

Preferred order:

  1. Call upload_audio first and capture music_id.
  2. Optional image references:

- Call upload_image and pass returned image_urls to generate_music_video.reference_image_urls.

  1. Call generate_music_video with:

- music_id (required) - prompt (required, trimmed length 1..2000) - Optional: mv_type, style, aspect_ratio, resolution, watermark, start_ms, end_ms, reference_image_urls

  1. Poll with get_task_status until terminal state.
  2. On completed, call get_task_result and return video_url and cover_url.

Async Handling Rules

  • Treat task submission as asynchronous.
  • Continue polling while status indicates in-progress work (for example pending).
  • Status values may be lowercase (pending, completed, failed) and some older systems may use uppercase variants.
  • Do not call get_task_result before status is completed.
  • If get_task_result returns TASK_NOT_COMPLETED, continue polling.
  • On failed, report error_message, error_code, and any backend message from status response.

Input Validation Checklist

Before generation calls, verify:

  • Prompt is present and trimmed length is within 1..2000.
  • For generate_effect, reference_image_urls contains exactly one image URL.
  • For generate_effect, music_id is either default_music_id from list_effects or from upload_audio.
  • For generate_music_video, music_id comes from upload_audio.
  • For upload_audio, provide exactly one of file_path or url.

Response Format Guidelines

When reporting progress or final outputs, include:

  • Task type (effect_generation or music_video_generation)
  • task_id
  • Current status
  • On completion: video_url and cover_url
  • On failure: failure code/message and next fix step

Defaults and Practical Guidance

  • Use list_effects defaults unless the user explicitly asks to override.
  • For effect generation, default image is list_effects.image_url.
  • For MV generation, default values are acceptable unless user specifies otherwise.
  • Keep polling cadence steady and avoid tight loops.

Example Decision Logic

If user asks "make an effect from template":

  • Use Workflow A.

If user asks "make a music video from this song":

  • Use Workflow B.

If user provides only a prompt without media:

  • For effect: use list_effects defaults.
  • For MV: request audio input (or URL) and run upload_audio first.

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

98.48%
按下载量换算934

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install freebeatfit-ai 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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