Video Editing With Clipchamp

Get edited MP4 videos ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim t...

Security Scan

The skill claims to be 'Clipchamp' branded but actually routes all work to nemo/nemovideo endpoints and contains small metadata/instruction inconsistencies; it will upload user videos and create/use tokens for an external service — review before installing.

Purpose & Capability

The skill name/description advertise 'Clipchamp' but every API endpoint and the runtime instructions point to mega-api-prod.nemovideo.ai (Nemo). This branding mismatch could be accidental or misleading. Metadata in the SKILL.md also lists a config path (~/.config/nemovideo/) even though the registry summary reported no required config paths — an inconsistency.

Instruction Scope

Runtime instructions ask the agent to check/set NEMO_TOKEN, generate an anonymous token via POST, create and store a session_id, upload user media, poll job status, and include custom attribution headers. The instructions also tell the agent to detect install path (~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform — this requires inspecting filesystem paths. Uploading user videos and storing session tokens is expected for a cloud editor, but the combination of branding mismatch and filesystem checks is outside a purely UI-level helper and deserves scrutiny.

Install Mechanism

No install spec and no code files — instruction-only. That minimizes disk-level risk because nothing is downloaded or extracted by the skill itself.

Credentials

The skill only declares a single credential (NEMO_TOKEN) as primary, which matches the documented API usage. However, the SKILL.md's metadata references a config path (~/.config/nemovideo/) not reflected in the registry summary, and instructions implicitly require the agent be allowed to read certain install paths to populate X-Skill-Platform. Consider whether you are comfortable with the agent accessing those paths and with a single-token model for uploads.

Persistence & Privilege

always is false and the skill does not request system-wide or cross-skill configuration changes. It will create/use an ephemeral anonymous token if none is present; that behavior is described in the instructions.

What to consider before installing

This skill will upload your videos and create/use a NEMO_TOKEN tied to the nemovideo.ai backend — despite the 'Clipchamp' name. Before installing: (1) confirm you are comfortable sending your media to mega-api-prod.nemovideo.ai and review that service's privacy/retention policy; (2) verify the Clipchamp branding is legitimate (it may be a mislabel or copy/paste error); (3) decide whether you want the skill to auto-generate/store an anonymous token (it issues a 7-day token if none is present); (4) be aware the skill may inspect common install/config paths to set headers — if you don't want it to read those paths, don't install. If anything looks off, ask the publisher for clarification or prefer an officially branded integration.

Getting Started

Ready when you are. Drop your video clips here or describe what you want to make.

Try saying:

• "edit a 2-minute screen recording or phone video into a 1080p MP4"
• "trim the clip, add text overlays, and export as MP4"
• "editing and exporting polished videos from raw clips for content creators and students"

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.

Video Editing with Clipchamp — Edit and Export Videos Fast

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

Here's a typical use: you send a a 2-minute screen recording or phone video, ask for trim the clip, add text overlays, and export as MP4, 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 clips under 3 minutes process significantly faster.

Matching Input to Actions

User prompts referencing video editing with clipchamp, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

1. Session — POST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. Gives you a session_id.
2. Chat (SSE) — POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
3. Upload — POST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
4. Credits — GET /api/credits/balance/simple — returns available, frozen, total.
5. State — GET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
6. Export — POST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> every 30s for completed status and download URL.

Formats: 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 video-editing-with-clipchamp, 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).

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.

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)

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

• "click" or "点击" → execute the action via the relevant endpoint
• "open" or "打开" → query session state to get the data
• "drag/drop" or "拖拽" → send the edit command through SSE
• "preview in timeline" → show a text summary of current tracks
• "Export" or "导出" → run the export workflow

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.

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the clip, add text overlays, and export as MP4" — concrete instructions get better results.

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

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "trim the clip, add text overlays, and export as MP4" → 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.