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Candy Ai

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install candy-ai
功能描述
Turn a 30-second selfie video clip into 1080p AI companion videos just by typing what you need. Whether it's generating interactive AI character videos or qu...
使用说明 (SKILL.md)

Getting Started

Got video clips or images to work with? Send it over and tell me what you need — I'll take care of the AI companion video creation.

Try saying:

  • "create a 30-second selfie video clip into a 1080p MP4"
  • "create an AI companion character that responds and interacts in the video"
  • "generating interactive AI character videos for content creators and social media users"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Candy AI — Create AI Companion Character Videos

Drop your video clips or images in the chat and tell me what you need. I'll handle the AI companion video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 30-second selfie video clip, ask for create an AI companion character that responds and interacts in the video, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter source clips produce more consistent AI character results.

Matching Input to Actions

User prompts referencing candy ai, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is candy-ai, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Common Workflows

Quick edit: Upload → "create an AI companion character that responds and interacts in the video" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "create an AI companion character that responds and interacts in the video" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility.

安全使用建议
This skill appears to do what it claims (upload your media to a NemoVideo backend and return edited videos) and only needs a NEMO_TOKEN. Before installing, confirm: 1) where NEMO_TOKEN comes from and what permissions it grants; 2) whether you are comfortable the skill will upload any video/image you provide to https://mega-api-prod.nemovideo.ai; 3) why the SKILL.md lists a local config path (~/.config/nemovideo/) and asks to detect install paths — ask the author to clarify whether the skill will read or write files there. Avoid sending sensitive personal footage until you verify the service's privacy/retention policy and the token's scope. If you need higher assurance, request an explicit manifest from the author showing exactly which local paths are read and whether any data is stored locally.
功能分析
Type: OpenClaw Skill Name: candy-ai Version: 1.0.0 The candy-ai skill provides a functional integration with the Candy AI video generation service. It manages authentication via the NEMO_TOKEN environment variable or an anonymous token acquisition process, handles video uploads, and processes editing requests through a dedicated API (mega-api-prod.nemovideo.ai). The instructions in SKILL.md are consistent with the stated purpose of creating AI companion videos and do not exhibit signs of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
Name/description (AI companion video generation) align with the endpoints, flows, and headers in SKILL.md. Requesting a single API credential (NEMO_TOKEN) is expected for a cloud API-backed video service. However, SKILL.md's YAML frontmatter declares a configPath (~/.config/nemovideo/) while the registry metadata said there are no required config paths — an internal inconsistency.
Instruction Scope
Instructions are mostly scoped to uploading user media and controlling the remote render API (expected). But the doc tells the agent to detect install paths (e.g. check for ~/.clawhub/ or ~/.cursor/skills/) and references a local config path (~/.config/nemovideo/). Those steps imply the agent may probe filesystem locations that were not declared as required in the registry metadata; this is scope creep and should be confirmed as necessary.
Install Mechanism
There is no install spec and no code files (instruction-only). That minimizes install-time risk — nothing is downloaded or written to disk by an installer.
Credentials
Only NEMO_TOKEN is required (declared as primary credential), which is proportionate for a remote API. The skill also instructs acquiring an anonymous token if none is present; that behavior is reasonable but means the agent may fetch and use temporary credentials on the user's behalf. No other unrelated secrets are requested.
Persistence & Privilege
always:false and no special persistence actions are requested. The skill can be invoked autonomously (platform default) but it does not request elevated persistent presence or modify other skills' configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install candy-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /candy-ai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Candy AI 1.0.0 — Initial Release - Turn a 30-second selfie video into a 1080p AI companion video simply by uploading and describing the result you want. - Interactive session management: connects to backend API, acquires or uses a token, and establishes a secure session automatically. - Supports video, image, and audio uploads; generates, edits, and exports companion character videos in about 1–2 minutes. - Simple command-based workflow for exports, credit checks, timeline previews, and uploading files. - All actions run on cloud GPUs and return downloadable links—no local setup required. - Built-in error handling and tips for smooth user experience.
元数据
Slug candy-ai
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Candy Ai 是什么?

Turn a 30-second selfie video clip into 1080p AI companion videos just by typing what you need. Whether it's generating interactive AI character videos or qu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。

如何安装 Candy Ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install candy-ai」即可一键安装,无需额外配置。

Candy Ai 是免费的吗?

是的,Candy Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Candy Ai 支持哪些平台?

Candy Ai 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Candy Ai?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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