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vynbosserman65

4k Pika Ai

作者 vynbosserman65 · 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 4k-pika-ai
功能描述
Turn a single product photo or short video clip into 4K 4K AI videos just by typing what you need. Whether it's generating 4K AI videos from images or clips...
使用说明 (SKILL.md)

Getting Started

Send me your images or video clips and I'll handle the AI video generation. Or just describe what you're after.

Try saying:

  • "generate a single product photo or short video clip into a 4K MP4"
  • "generate a smooth 4K cinematic video from my image using Pika AI"
  • "generating 4K AI videos from images or clips using Pika for content creators, marketers, social media managers"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

4K Pika AI — Generate 4K AI Videos

This tool takes your images or video clips and runs AI video generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a single product photo or short video clip and want to generate a smooth 4K cinematic video from my image using Pika AI — the backend processes it in about 1-2 minutes and hands you a 4K MP4.

Tip: simpler images with clear subjects produce more consistent and smooth 4K outputs.

Matching Input to Actions

User prompts referencing 4k pika 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source 4k-pika-ai
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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)

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a smooth 4K cinematic video from my image using Pika AI" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, PNG, JPG for the smoothest experience.

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "generate a smooth 4K cinematic video from my image using Pika AI" → 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.

安全使用建议
Review carefully before installing. This skill sends your uploaded images, videos, and prompts to a nemovideo.ai cloud backend and uses a NEMO_TOKEN to manage sessions. The artifacts also conflict with the advertised 4K Pika branding because the documented render pipeline says output is up to 1080x1920. Do not use it for sensitive media unless you trust the backend and have verified the actual service and output quality.
功能分析
Type: OpenClaw Skill Name: 4k-pika-ai Version: 1.0.0 The skill is a functional integration for the 'nemovideo.ai' service, allowing users to generate AI videos. It provides detailed instructions for the agent to manage authentication tokens, handle file uploads, and interact with a cloud rendering pipeline via SSE. All network requests are directed to the legitimate service domain (mega-api-prod.nemovideo.ai), and the requested permissions (NEMO_TOKEN and ~/.config/nemovideo/) are strictly relevant to the skill's stated purpose without any signs of data exfiltration or malicious execution.
能力评估
Purpose & Capability
The stated purpose is 4K/Pika video generation, but the documented API uses a nemovideo.ai backend and says output compression is up to 1080x1920, which conflicts with the advertised 4K/Pika framing.
Instruction Scope
The skill instructs the agent to create sessions, upload media, send prompts over SSE, poll state, and export results. These actions are aligned with cloud video generation, but users should understand the agent may perform the multi-step cloud workflow on their behalf.
Install Mechanism
There is no install script or local code to run. The main setup is API-based token/session creation. The artifact also declares a config path in SKILL.md while the registry summary says no required config paths, but no file writes are shown.
Credentials
The NEMO_TOKEN credential and cloud API access are expected for this service, but uploaded images/videos and prompts leave the local environment for processing.
Persistence & Privilege
The skill creates a cloud session_id and uses a bearer token. It does not show local persistence or background execution, but the session token carries render job IDs and orphaned jobs are mentioned.
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 4k-pika-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /4k-pika-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
Initial release of 4K Pika AI skill. - Instantly turns single photos or short video clips into 4K AI-generated videos using cloud rendering. - Supports quick setup with anonymous token authentication and session management. - Handles uploads, video generation, downloads, and session state checks via integrated API calls. - Responds to common actions like export, credits, status, and upload with simple user commands. - Exports results in multiple video/image/audio formats (mp4, mov, avi, jpg, png, gif, mp3, etc.). - Includes tips, error handling, and workflow suggestions for smooth AI video creation.
元数据
Slug 4k-pika-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

4k Pika Ai 是什么?

Turn a single product photo or short video clip into 4K 4K AI videos just by typing what you need. Whether it's generating 4K AI videos from images or clips... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 36 次。

如何安装 4k Pika Ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install 4k-pika-ai」即可一键安装,无需额外配置。

4k Pika Ai 是免费的吗?

是的,4k Pika Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

4k Pika Ai 支持哪些平台?

4k Pika 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 4k Pika Ai?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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