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francemichaell-15

Free Prompt Generator Skill

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-prompt-generator-skill
功能描述
Get ready-to-use prompts ready to post, without touching a single slider. Upload your text description (MP4, MOV, WebM, AVI, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

Share your text description and I'll get started on AI prompt generation. Or just tell me what you're thinking.

Try saying:

  • "generate my text description"
  • "export 1080p MP4"
  • "generate a detailed video prompt for"

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.

Free Prompt Generator Skill — Generate Video Prompts Instantly

Drop your text description in the chat and tell me what you need. I'll handle the AI prompt generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short description of a sunset beach scene, ask for generate a detailed video prompt for a cinematic drone shot over a tropical beach at golden hour, and about under 20 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — more specific your seed idea, the more targeted and usable the generated prompt.

Matching Input to Actions

User prompts referencing free prompt generator skill, 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.

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

Header Value
X-Skill-Source free-prompt-generator-skill
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.

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 field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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 → "generate a detailed video prompt for a cinematic drone shot over a tropical beach at golden hour" → Download MP4. Takes under 20 seconds 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 "generate a detailed video prompt for a cinematic drone shot over a tropical beach at golden hour" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

安全使用建议
This skill appears to do what it says, but it sends your uploaded media and prompts to an external service (mega-api-prod.nemovideo.ai). Before installing or invoking it: 1) Decide whether you trust that external service with any video/audio or metadata you upload — sensitive footage or confidential audio should not be uploaded unless the service's privacy policy and security posture meet your requirements. 2) Understand that if you don't supply NEMO_TOKEN the skill will request an anonymous token from the service and use it (it will create a UUID and POST to the anonymous-token endpoint). 3) The frontmatter lists a config path (~/.config/nemovideo/) and the runtime guidance implies detecting an install path for attribution headers — confirm whether the agent will read local paths or config files; if you want to avoid that, restrict the skill's file/config access. 4) There is no install-time code, so risk from local code execution is low, but runtime network traffic and file uploads are the primary risk. 5) If you have concerns, ask the skill owner for their privacy policy, or run the skill in an environment where uploads are safe (e.g., non-sensitive test media).
功能分析
Type: OpenClaw Skill Name: free-prompt-generator-skill Version: 1.0.0 The skill is a legitimate integration for an AI video generation service (nemovideo.ai). It manages authentication via the NEMO_TOKEN environment variable or an anonymous token acquisition process, handles file uploads, and interacts with a cloud-based rendering pipeline. All instructions in SKILL.md are consistent with the stated purpose of generating video prompts and exporting media, and there is no evidence of data exfiltration, unauthorized command execution, or malicious intent.
能力评估
Purpose & Capability
Name/description (generate video prompts and render/export MP4) match the declared primary credential (NEMO_TOKEN) and the API endpoints described in SKILL.md. No unrelated credentials or unrelated binaries are requested.
Instruction Scope
SKILL.md stays within the stated purpose: creating sessions, uploading media, streaming SSE, starting exports and polling state. It explicitly sends uploaded user media to the external nemovideo endpoints. Two minor scope notes: (1) frontmatter metadata lists a configPaths entry (~/.config/nemovideo/) but the runtime instructions do not describe reading or writing that path (a small mismatch); (2) the skill asks callers to auto-detect 'install path' for X-Skill-Platform, which implies the agent may inspect its runtime/install path to populate an attribution header.
Install Mechanism
No install spec or files are installed (instruction-only). This minimizes disk-write/install risk.
Credentials
Only a single credential (NEMO_TOKEN) is required and is consistent with the described service. The skill will also obtain an anonymous token by POSTing to the service if NEMO_TOKEN is absent. Consider whether you want the agent to acquire/use anonymous tokens automatically. The configPaths entry in metadata is unexplained and could allow reading a user config if implemented.
Persistence & Privilege
Skill is not always-on, does not request elevated platform privileges, and does not attempt to modify other skills or global agent settings in the instructions.
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 free-prompt-generator-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-prompt-generator-skill 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 Free Prompt Generator Skill — generate video prompts instantly. - Allows users to upload text descriptions or video files and receive ready-to-use 1080p MP4 video prompts. - Handles authentication automatically, including free token acquisition and session management. - Supports natural language commands for generating video prompts, exporting videos, checking credits, uploading files, and viewing status. - Routes user requests to the appropriate action using keyword and intent classification. - Provides clear feedback during connection, processing, and error handling. - Batch uploads, iterative editing, and multiple file formats supported (including MP4, MOV, AVI, WebM, images, and audio).
元数据
Slug free-prompt-generator-skill
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

Free Prompt Generator Skill 是什么?

Get ready-to-use prompts ready to post, without touching a single slider. Upload your text description (MP4, MOV, WebM, AVI, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。

如何安装 Free Prompt Generator Skill?

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

Free Prompt Generator Skill 是免费的吗?

是的,Free Prompt Generator Skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Free Prompt Generator Skill 支持哪些平台?

Free Prompt Generator Skill 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 Free Prompt Generator Skill?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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