Tiktok Ai Text To

convert text script into TikTok-ready videos with this skill. Works with TXT, DOCX, PDF, SRT files up to 200MB. TikTok creators use it for converting written...

Security Scan

The skill's declared purpose (convert text into TikTok-ready videos) matches the actions it instructs the agent to perform and the single credential it requests, but it will upload user files to an external service and store short‑lived session tokens — you should only send non-sensitive content and be aware of the external endpoint.

Purpose & Capability

The name/description describe converting text to short videos; the skill only asks for a single service token (NEMO_TOKEN) and references an expected service domain (mega-api-prod.nemovideo.ai). There are no unrelated credentials or binaries requested, so required capabilities are proportionate to the stated purpose.

Instruction Scope

The SKILL.md instructs the agent to contact nemo's API, create or obtain an anonymous token if NEMO_TOKEN is not set, create sessions, upload files (multipart or by URL), use SSE for streaming responses, poll render status, and return download URLs. All of these actions are consistent with remote video rendering. Important privacy/security note: user-supplied files and scripts are uploaded to the external service as part of normal operation — the SKILL.md explicitly instructs the agent to hide raw API responses and token values from the user, which is reasonable to avoid leaking secrets but means the skill will store and use short‑lived tokens internally.

Install Mechanism

This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer. This is the lowest-risk install model and matches the skill's design.

Credentials

The skill requests only one environment variable (NEMO_TOKEN) as its primary credential — appropriate for an API-based video service. The SKILL.md frontmatter also references a config path (~/.config/nemovideo/) for session/token storage; the top-level registry metadata provided earlier omitted configPaths (inconsistency). Requesting a single service token and a small per-service config path is proportionate, but users should be aware that files and short‑lived tokens will be transmitted/stored for processing.

Persistence & Privilege

The skill is not marked always:true, does not request platform-wide privileges, and does not modify other skills. Autonomous invocation (default) is normal for skills. No persistent system-wide changes are specified.

Assessment

This skill appears to do what it says (send your text/files to an external rendering service and return a downloadable MP4). Before installing or using it: 1) Do not upload sensitive or confidential content — files and scripts are sent to mega-api-prod.nemovideo.ai for processing. 2) Understand NEMO_TOKEN is the only credential requested; if you don't supply one it will create a short-lived anonymous token (100 free credits, ~7 days) and store session IDs — be comfortable with this behavior. 3) Note a small inconsistency: the SKILL.md mentions a config path (~/.config/nemovideo/) that the registry summary omitted; if you want assurance, ask the developer how/where tokens and session data are stored and cleared. 4) If you need stronger privacy guarantees (delete-after-render, data retention policy, official privacy/TOS), request them before sending content.

Getting Started

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

Try saying:

• "convert a 150-word product description or script into a 1080p MP4"
• "turn this text into a 30-second TikTok video with voiceover and captions"
• "converting written scripts into short TikTok videos with AI voiceover for TikTok creators"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

TikTok AI Text to Video — Convert Text into TikTok Videos

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

Here's a typical use: you send a a 150-word product description or script, ask for turn this text into a 30-second TikTok video with voiceover and captions, 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 scripts under 100 words produce the most engaging TikTok-length clips.

Matching Input to Actions

User prompts referencing tiktok ai text to, 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	tiktok-ai-text-to
X-Skill-Version	frontmatter version
X-Skill-Platform	auto-detect: clawhub / cursor / unknown from install path

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

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

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

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

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

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

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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 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)

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=<id> (get <id> 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

Common Workflows

Quick edit: Upload → "turn this text into a 30-second TikTok video with voiceover and captions" → 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 "turn this text into a 30-second TikTok video with voiceover and captions" — concrete instructions get better results.

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

Export as MP4 at 1080x1920 for native TikTok vertical format compatibility.