功能描述

Skip the learning curve of professional editing software. Describe what you want — turn this job posting into a 60-second recruiting video with visuals and v...

使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your job description text here or describe what you want to make.

Try saying:

"convert a 300-word software engineer job posting into a 1080p MP4"
"turn this job posting into a 60-second recruiting video with visuals and voiceover"
"converting job postings into shareable recruiting videos for HR recruiters and hiring managers"

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.

AI Video Editor Job Posting — Turn Job Posts Into Videos

Name: Ai Video Editor Job Posting
Author: dsewell-583h0

Send me your job description text and describe the result you want. The AI video generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 300-word software engineer job posting, type "turn this job posting into a 60-second recruiting video with visuals and voiceover", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter job descriptions under 200 words produce tighter, more watchable videos.

Matching Input to Actions

User prompts referencing ai video editor job posting, 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 ai-video-editor-job-posting, 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).

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

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

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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn this job posting into a 60-second recruiting video with visuals and voiceover" — concrete instructions get better results.

Max file size is 200MB. Stick to TXT, DOCX, PDF, MP4 for the smoothest experience.

Export as MP4 for widest compatibility across LinkedIn, Indeed, and company career pages.

Common Workflows

Quick edit: Upload → "turn this job posting into a 60-second recruiting video with visuals and voiceover" → 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

This skill is coherent with its description: it uploads your job text/files to a third-party video-generation API (mega-api-prod.nemovideo.ai) and uses a single NEMO_TOKEN (or an anonymous token) for requests. Before installing: (1) only provide a NEMO_TOKEN from a provider you trust — it grants the skill permission to act on your behalf; (2) be aware that any files you upload (job descriptions, attachments, audio/video) are transmitted to and processed by the external service — avoid sending sensitive PII or proprietary material unless you accept the service's data-retention and privacy terms; (3) anonymous tokens are possible but still result in data leaving your environment; and (4) because this is an instruction-only skill there is no local code to inspect, so review the service’s privacy/terms and token handling before use. If you need more assurance, ask the publisher for a privacy/retention statement or a trusted, official API domain and token-issuance details.

功能分析

Type: OpenClaw Skill Name: ai-video-editor-job-posting Version: 1.0.0 The skill is a legitimate integration for a cloud-based AI video editing service (nemovideo.ai). It provides instructions for an AI agent to manage sessions, upload job descriptions/media, and trigger video rendering via the service's API. The behavior is consistent with the stated purpose, and there is no evidence of malicious intent, data exfiltration of sensitive local files, or unauthorized command execution.

能力评估

✓ Purpose & Capability

The name/description say it converts job postings into videos and the SKILL.md describes calling a remote 'nemovideo' API and uploading media — requiring a NEMO_TOKEN is coherent. The declared config path (~/.config/nemovideo/) and primaryEnv (NEMO_TOKEN) align with that purpose; there are no unrelated credentials or binaries requested.

ℹ Instruction Scope

Instructions stay within the video-generation domain: create a session, upload user files, stream SSE for generation, check credits/state, and start exports. Two operational notes: (1) the skill includes an anonymous-token fallback flow (it POSTs an anonymous-token and uses its token if no NEMO_TOKEN is provided), and (2) it asks the agent to set an X-Skill-Platform header by inspecting install paths (this implies the agent may look at its install environment). Both are reasonable for this service but mean user files and metadata will be sent to an external third-party API.

✓ Install Mechanism

No install spec and no code files — instruction-only. That minimizes on-disk installation risk; nothing is downloaded or executed by the skill itself.

✓ Credentials

Only one credential is requested (NEMO_TOKEN), which is the expected service token for a hosted video API. The SKILL.md also documents an anonymous-token fallback rather than requiring other secrets. No unrelated secrets or multiple credentials are requested.

✓ Persistence & Privilege

always:false and no requests to modify other skills or system-wide configs. The skill does not request permanent presence or elevated agent privileges beyond normal autonomous invocation behavior.

版本历史

v1.0.0

AI Video Editor Job Posting — initial release - Instantly converts job postings (TXT, DOCX, PDF, MP4 up to 200MB) into 60-second recruiting videos with visuals and voiceover. - Fast, cloud-based video generation with no installation required; outputs ready-to-share MP4s in 1–2 minutes. - Simple onboarding: automatically handles authentication and session creation, including anonymous 7-day free access. - User prompts like "export", "upload", "credits", and more trigger intuitive, mapped actions (status, upload, render, etc). - Smooth HR workflow: upload or paste job text, describe your video, and export directly—tailored for recruiters, no editing experience needed. - Comprehensive error handling and smart status updates for a seamless experience.

元数据

Slug ai-video-editor-job-posting

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

Ai Video Editor Job Posting 是什么？

Skip the learning curve of professional editing software. Describe what you want — turn this job posting into a 60-second recruiting video with visuals and v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 78 次。

如何安装 Ai Video Editor Job Posting？

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

Ai Video Editor Job Posting 是免费的吗？

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

Ai Video Editor Job Posting 支持哪些平台？

Ai Video Editor Job Posting 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 Ai Video Editor Job Posting？

由 dsewell-583h0（@dsewell-583h0）开发并维护，当前版本 v1.0.0。

Ai Video Editor Job Posting