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agentboardagentboard 音频

Agent Skill

agentboard 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

2,913

周安装

119

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下载量

942
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:agentboard(agentboard 音频)
来源仓库:https://github.com/0xartex/agentboard
安装命令:
openclaw skills install agentboard
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 agentboard

简介

用于构建多面板故事板并导出 PDF。

  • 适合项目可视化、图像上传与注释合成。
  • 支持通过公共 URL 共享成果。agentboard 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install agentboard。
  • 注意图像/音频文件存储位置与隐私设置。

SKILL.md

name
agentboard
description
Build multi-panel storyboards programmatically — create projects, upload images/audio to boards, composite annotations, export PDFs, share via public URL. Invoke when the user wants a storyboard, pre-visualization, shot breakdown, animatic, or any ordered sequence of visual panels with text. Hosted at https://agentboard.fly.dev. Works over REST from any agent; MCP tools (mcp__agentboard__*) available in compatible runtimes. If you have your own image/audio generator, use it and UPLOAD the bytes — optional server-side generation endpoints exist as a fallback only for agents without built-in generation.

AgentBoard

Base URL: https://agentboard.fly.dev. All examples below use REST. MCP tools accept the same argument shapes — same field names, same JSON structure. No client credentials are required to call the hosted endpoints.

Data model

  • Project — UUID, aspectRatio (default 1.7777), ordered list of boards.
  • Board — 5-char uid, dialogue, action, notes, duration (ms), up to 6 layers (fill is primary; others: tone, pencil, ink, reference, notes).
  • Layer asset — one image per (board, layer). Re-upload replaces.
  • Audio asset — one audio per (board, kind). Kinds: narration, sfx, music, ambient, reference. Multiple kinds per board allowed.

Workflow

1. create project + boards (one call)
2. populate: upload OR generate images/audio
3. (optional) annotate via draw_shapes
4. (optional) export PDF and/or get share URL

1. Create project

POST /api/agent/create-project
{
  "title": "The Lighthouse Keeper",
  "aspectRatio": 1.7777,
  "boards": [
    { "dialogue": "...", "action": "...", "duration": 4000 },
    { "dialogue": "...", "action": "...", "duration": 3500 }
  ]
}
→ { id, project: { boards: [{ uid, number, ... }] }, viewUrl }

Save id and every board's uid from the response. Rate-limited: 50 creates/hour per IP+token.

2. Populate boards — upload your own bytes (PREFERRED)

Use this path if your runtime has image/audio generation (fal, Sora, Veo, Midjourney, Gemini, etc.). Generate with your tool, then upload. Skip to the Fallback generation section only if you can't generate.

Batch upload (3+ panels)

POST /api/agent/upload-batch
{
  "projectId": "...",
  "uploads": [
    { "boardUid": "ABC", "kind": "image", "imageBase64": "..." },
    { "boardUid": "DEF", "kind": "image", "imageBase64": "..." },
    { "boardUid": "ABC", "kind": "audio", "audioKind": "narration", "audioBase64": "..." }
  ]
}
→ 201 (all ok) or 207 Multi-Status { succeeded: [...], failed: [{ index, error }] }

Up to 100 items per call, mixing images and audio freely. Partial failures don't abort the batch.

MCP upload_assets_batch supports three input modes per item. Always prefer path/url over base64 — they cost zero agent context:

FieldWhatUse for
imagePath / audioPathLocal file pathPreferred when the user has explicitly produced or pointed at a file. MCP subprocess reads and uploads the bytes. Never reference paths the user didn't authorize.
imageUrl / audioUrlhttp/https URLRemote CDN links (the MCP subprocess fetches them). Zero agent context cost.
imageBase64 / audioBase64Inline base64Only for tiny images (<10 KB). Burns agent context at 1.33× file size.

Single upload

POST /api/agent/draw
{ "projectId":"...", "boardUid":"...", "layer":"fill", "imageBase64":"...", "mime":"image/png" }

POST /api/agent/upload-audio
{ "projectId":"...", "boardUid":"...", "kind":"narration", "audioBase64":"...", "mime":"audio/mpeg" }

Caps: images ≤ 256 MB, audio ≤ 512 MB. Mime is sniffed from magic bytes (client-declared mime is ignored). Accepted: image/png, image/jpeg, image/gif, image/webp, audio/mpeg, audio/wav, audio/ogg.

3. Draw annotations

Composite shapes or brush strokes onto any board layer. Unique to AgentBoard — your image generator can't do this. Use it to annotate AI panels (circle a character, add an arrow, label a shot).

POST /api/agent/draw-shapes
{
  "projectId": "...",
  "boardUid": "...",
  "layer": "fill",
  "mode": "overlay",
  "shapes": [
    { "type":"circle", "center":[0.5,0.5], "radius":0.08, "stroke":"#cc0000", "strokeWidth":6 },
    { "type":"arrow",  "from":[0.7,0.3], "to":[0.5,0.5], "stroke":"#cc0000", "strokeWidth":6 },
    { "type":"text",   "position":[0.05,0.05], "text":"HERO", "fontSize":0.04, "fill":"#cc0000" }
  ]
}

Coordinates are normalized [0, 1](0,0) top-left, (1,1) bottom-right. radius, size, fontSize are also normalized (0.05 = 5% of canvas).

Modes: "overlay" (composite on existing layer — for annotating) or "replace" (blank canvas — for sketching).

Shape types:

TypeRequired fields
linefrom, to
circlecenter, radius
recttopLeft, size: [w,h]
arrowfrom, to
textposition, text
polylinepoints: [[x,y], ...]
polygonpoints: [[x,y], ...]
bezierfrom, cp1, cp2, to

All shapes accept stroke, fill, strokeWidth, opacity. Colors are any CSS color string.

Freeform strokesPOST /api/agent/draw-strokes with { brush, color, size, points: [[x,y]...] } per stroke. Brushes: pencil | pen | ink | marker | eraser. Eraser removes pixels — pair with mode:"overlay". Sparse point arrays get Catmull-Rom smoothed; no need to pass dense polylines.

4. Share + export

GET  /api/agent/share/{projectId}             → { viewUrl }  — public read-only HTML viewer
POST /api/agent/export/pdf { projectId }       → PDF bytes    — one page per board
POST /api/agent/share/{projectId}              → scoped share token
     body: { permission: "view|comment|edit", ttlMs: 86400000 }

Editing an existing project

POST /api/agent/set-metadata
{ "projectId":"...", "updates":[
  { "boardUid":"ABC", "dialogue":"new line", "expectedVersion":4 }
]}

Optimistic concurrency via expectedVersion. On 409 VERSION_MISMATCH: GET /api/agent/project/{id}, merge, retry. Asset uploads are last-write-wins and don't need expectedVersion.

Append boards later with POST /api/agent/add-scene (batch, body: { projectId, boards: [...] }) or POST /api/agent/add-board (single).

Optional server-side generation (skip if you can generate)

Only for agents without built-in image/audio generation. Uploading your own bytes via the primary workflow is faster and more reliable; these endpoints exist as a fallback. Any required provider configuration is handled server-side — the agent supplies only the request payload below.

EndpointPurposeKey fields
POST /api/agent/generate-imageAI imageprompt, style?, quality?, model?
POST /api/agent/generate-speechText-to-speechtext, voice?
POST /api/agent/generate-sfxSound effectprompt, durationSeconds? (0.5–22)
POST /api/agent/generate-musicMusicprompt, musicLengthMs? (3000–600000)

Style presets (pass style): storyboard-sketch, cinematic-color, comic-panel. Enumerate via GET /api/agent/image-styles.

Quality tiers (pass quality): low (draft) | medium (balanced default) | high (final render). Project-level default settable on create-project.

Voice lookup — call GET /api/agent/voices before generate-speech to see which voices the server is configured to use.

Errors

Shape: { "error": { "code": "...", "message": "..." } }. Retry rules:

Code(s)HTTPAction
BAD_REQUEST, BAD_BASE64, BAD_MIME, BAD_DRAW400Fix request shape
UPLOAD_TOO_LARGE413Resize/compress (images > 256 MB, audio > 512 MB)
WRONG_PROJECT, FORBIDDEN403Check projectId match
NO_BOARD, NOT_FOUND404Refetch via GET /api/agent/project/:id
VERSION_MISMATCH409Refetch, merge, retry
PROVIDER_REJECTED422Fallback generator rejected (moderation or voice-locked)
RATE_LIMITED429Exponential backoff
(none)402x402 payment required — retry with X-Payment header

Do not invoke for

  • Single one-off image generation unrelated to a narrative sequence — call your image generator directly.
  • Video editing — AgentBoard produces storyboards, not finished video.
  • Live interactive canvas apps — the drawing engine is command-based, not a stroke-by-stroke protocol.

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

70.4%
按下载量换算663

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

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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

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来源信息

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