best-tiktok-video-editor

name best-tiktok-video-editor version 1.0.5 displayName Best TikTok Video Editor — AI-Powered Clips That Go Viral description The best-tiktok-video-editor skill on ClawHub transforms raw footage into scroll-stopping TikTok content through a simple back-and-forth conversation. Trim dead air, add captions, apply trending transitions, adjust aspect ratios to 9:16, and punch up color grading — all by describing what you want in plain language. Built for creators, agencies, and social media managers who need fast turnaround without a steep learning curve. Supports mp4, mov, avi, webm, and mkv formats. metadata {"openclaw":{"emoji":"🎵","requires":{"env":"[Truncated]","configPaths":"[Truncated]"},"primaryEnv":"NEMO_TOKEN"}} homepage https://nemovideo.com apiDomain https://mega-api-prod.nemovideo.ai repository https://github.com/nemovideo/nemovideo_skills 0. First Contact When the user opens this skill or sends their first message, greet them immediately : ✨ Let's best tiktok video editor! Drop a video here or describe what you'd like to create. Try saying: "make it look cinematic" "add a fade-in transition" "speed up by 2x" IMPORTANT : Always greet the user proactively on first contact. Let them know you're setting up while connecting. Always greet the user proactively on first contact. Auto-Setup When the user first interacts, set up the connection: Check token : If NEMO_TOKEN env var is set, use it. Otherwise: Read or generate Client-ID : Read ~/.config/nemovideo/client_id if it exists Otherwise generate a UUID, save it to ~/.config/nemovideo/client_id Acquire anonymous token : curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID " Store the returned token as NEMO_TOKEN for this session. You get 100 free credits. Create a session (§3.0) so you're ready to work immediately. Let the user know briefly: "Setting things up… ready!" then proceed with their request. Chat Your Way to a Polished TikTok Cut Most TikTok creators lose hours wrestling with timelines, export settings, and effect libraries before a single clip goes live. This skill flips that workflow entirely — you describe the edit you want in plain language, and the AI handles the technical execution behind the scenes. The conversational editing model means you stay in a dialogue throughout the process. Say 'cut the first three seconds, add a zoom punch on the beat drop, and caption the hook' and the OpenClaw agent interprets your intent, sequences the operations in the correct order, and returns a preview-ready result. The OpenClaw agent acts as the reasoning layer between your natural language instructions and the low-level video processing pipeline, resolving ambiguities by asking short clarifying questions rather than guessing wrong. Under the hood, the AI backend analyzes audio waveforms to detect beats for sync cuts, scans spoken dialogue for auto-caption placement, and evaluates frame composition when applying crop or reframe operations for TikTok's 9:16 canvas. The result is an edit that feels intentional rather than automated — because every decision traces back to something you actually said. Environment Variables Variable Required Default NEMO_TOKEN No Auto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens) NEMO_API_URL No https://mega-api-prod.nemovideo.ai NEMO_WEB_URL No https://nemovideo.com NEMO_CLIENT_ID No Auto-generated UUID, persisted to ~/.config/nemovideo/client_id (UUID only, no secrets) SKILL_SOURCE No Auto-detected from install path, fallback unknown If NEMO_TOKEN is not set, get one (requires X-Client-Id header): # Generate or read persisted Client-Id CLIENT_ID= " ${NEMO_CLIENT_ID:-$(cat ~/.config/nemovideo/client_id 2>/dev/null)} " if [ -z " $CLIENT_ID " ]; then CLIENT_ID=$(uuidgen 2>/dev/null || echo "client- $(date +%s) - $RANDOM " ) mkdir -p ~/.config/nemovideo & echo " $CLIENT_ID " > ~/.config/nemovideo/client_id fi curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID " # → {"code":0,"data":{"token":"nmv_usr_xxx","credits":100,...}} Save token as NEMO_TOKEN , CLIENT_ID as NEMO_CLIENT_ID . Anonymous: 1 token per client per 7 days; token expires in 7 days and can be revoked at any time via Settings → API Tokens on nemovideo.com. If your token expires, request a new one with the same X-Client-Id . Local persistence: This skill writes ~/.config/nemovideo/client_id to persist the Client-Id across sessions. This avoids generating a new ID on every request, which would hit the per-IP rate limit quickly (default 10 tokens per 7 days per IP). The file contains only a UUID — no credentials are stored locally. 2. Routing Incoming Requests to the Correct Endpoint Use the table below to determine which API endpoint should handle each type of incoming request. 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 ❌ 3. Primary Workflow Sequences $API = ${NEMO_API_URL:-https://mega-api-prod.nemovideo.ai} , $TOKEN = ${NEMO_TOKEN} , $WEB = ${NEMO_WEB_URL:-https://nemovideo.com} . Skill attribution variables — do NOT hardcode: $SKILL_NAME = this file's YAML frontmatter name $SKILL_VERSION = this file's YAML frontmatter version $SKILL_SOURCE = detect at runtime using the first match: Env SKILL_SOURCE if set If this file's path contains a known platform directory (e.g. ~/.clawhub/ → clawhub , ~/.cursor/skills/ → cursor ) Fallback: unknown CRITICAL : ALL API requests (including render/export/upload/state/credits) MUST include these headers. Missing them will cause export to fail with 402. X-Skill-Source: $SKILL_NAME X-Skill-Version: $SKILL_VERSION X-Skill-Platform: $SKILL_SOURCE 3.0 Initializing a New Session curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent" \ -H "Authorization: Bearer $TOKEN " -H "Content-Type: application/json" \ -H "X-Skill-Source: $SKILL_NAME " -H "X-Skill-Version: $SKILL_VERSION " -H "X-Skill-Platform: $SKILL_SOURCE " \ -d '{"task_name":"project","language":"<lang>"}' # → {"code":0,"data":{"task_id":"...","session_id":"..."}} Before any editing work can begin, a session must be established with the backend. This session identifier is required for all subsequent requests within the same editing context. Open in browser : After creating a session, give the user a link to view/edit the task in NemoVideo: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE 3.1 Delivering Messages Over SSE curl -s -X POST "https://mega-api-prod.nemovideo.ai/run_sse" \ -H "Authorization: Bearer $TOKEN " -H "Content-Type: application/json" \ -H "Accept: text/event-stream" -H "X-Skill-Source: $SKILL_NAME " -H "X-Skill-Version: $SKILL_VERSION " -H "X-Skill-Platform: $SKILL_SOURCE " --max-time 900 \ -d '{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}' All conversational messages to the editing backend are transmitted through a persistent Server-Sent Events connection. SSE 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 Typical durations: text 5-15s, video generation 100-300s, editing 10-30s. Timeout : 10 min heartbeats-only → assume timeout. Never re-send during generation (duplicates + double-charge). Ignore trailing "I encountered a temporary issue" if prior responses were normal. Silent Response Fallback (CRITICAL) Approximately 30% of editing operations complete without returning any text in the response. When no text content is detected in the SSE stream, do not treat this as an error or prompt the user to retry. Instead, immediately poll the session state endpoint to retrieve the current project status and surface the result to the user from that data. Two-stage generation : When a raw video output is produced, the backend automatically triggers a second processing stage that layers in background music and generates a title overlay — no additional instruction is needed. Always wait for both stages to finish before presenting the final result to the user. 3.2 Handling Asset Uploads File upload : curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -F "files=@/path/to/file" URL upload : curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"urls":["<url>"],"source_type":"url"}' Use me in the path; backend resolves user from token. Supported: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac. Both video files and image assets can be submitted to the backend using the designated upload endpoint. 3.3 Checking Available Credits curl -s "https://mega-api-prod.nemovideo.ai/api/credits/balance/simple" -H "Authorization: Bearer $TOKEN " \ -H "X-Skill-Source: $SKILL_NAME " -H "X-Skill-Version: $SKILL_VERSION " -H "X-Skill-Platform: $SKILL_SOURCE " # → {"code":0,"data":{"available":XXX,"frozen":XX,"total":XXX}} Query the credits endpoint prior to initiating any edit operation to confirm the user has a sufficient balance. 3.4 Retrieving Current Project State curl -s "https://mega-api-prod.nemovideo.ai/api/state/nemo_agent/me/<sid>/latest" -H "Authorization: Bearer $TOKEN " \ -H "X-Skill-Source: $SKILL_NAME " -H "X-Skill-Version: $SKILL_VERSION " -H "X-Skill-Platform: $SKILL_SOURCE " Use me for user in path; backend resolves from token. Key fields: data.state.draft , data.state.video_infos , data.state.canvas_config , data.state.generated_media . Draft field mapping : t =tracks, tt =track type (0=video, 1=audio, 7=text), sg =segments, d =duration(ms), m =metadata. Draft ready for export when draft.t exists with at least one track with non-empty sg . Track summary format : Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s) 3.5 Triggering Export and Delivering the Output Export does NOT cost credits. Only generation/editing consumes credits. Exporting a finished project does not deduct from the user's credit balance. To deliver the final video: (a) call the export endpoint with the session ID, (b) poll for export completion status, (c) retrieve the download URL from the completed export object, (d) verify the URL is accessible, and (e) present the link or embed the video for the user. b) Submit: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}' Note: sessionId is camelCase (exception). On failure → new id , retry once. c) Poll (every 30s, max 10 polls): curl -s "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda/<id>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" Status at top-level status : pending → processing → completed / failed. Download URL at output.url . d) Download from output.url → send to user. Fallback: https://mega-api-prod.nemovideo.ai/api/render/proxy/<id>/download . e) When delivering the video, always also give the task detail link : $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE