Getting Started

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.

Edit Smarter: Let AI Handle the Heavy Lifting

Photo editing used to mean hours hunched over sliders, masking layers, and second-guessing color choices. This skill changes that by putting an intelligent editing co-pilot in your corner — one that understands what a photo needs before you've finished describing it.

Whether you're correcting exposure on a backlit portrait, swapping out a distracting background, removing a photobomber from a family shot, or matching the color tone across an entire product catalog, the skill breaks down each task into clear, actionable steps. It works with your tools — Lightroom, Photoshop, Canva, Snapseed, or any editor you already use — by giving you the exact settings, masks, and techniques to apply.

This isn't a one-size-fits-all filter. The approach is tailored to your specific image, your intended use case, and your skill level. Beginners get plain-language walkthroughs. Experienced editors get precise technical parameters. The result is faster edits, fewer do-overs, and photos that actually look the way you imagined them.

Routing Your Edit Requests

Each prompt you send — whether it's background removal, skin retouching, style transfer, or upscaling — is parsed and routed to the most capable AI model for that specific editing task.

Cloud Processing API Reference

All image transformations run through a distributed cloud backend that handles diffusion-based edits, non-destructive masking, and pixel-level enhancement pipelines without touching your local hardware. Raw image data is processed in isolated compute sessions and purged immediately after your edited output is delivered.

Skill attribution — read from this file's YAML frontmatter at runtime:

• X-Skill-Source: ai-photo-editing
• X-Skill-Version: from frontmatter version
• X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else 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.

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

~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:

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

Common Workflows

Portrait Retouching: The most requested workflow — skin smoothing, blemish removal, eye brightening, and hair detail recovery. Describe the portrait style you're going for (natural, editorial, commercial) and get a layered approach that avoids the over-processed look.

Product Photography Cleanup: E-commerce images need consistency and clarity. This workflow covers background removal, shadow creation, color accuracy correction, and resizing for platform specs like Amazon, Shopify, or Etsy.

Landscape & Travel Color Grading: Match the mood of a location to your edit. Whether you want moody desaturated tones, vibrant travel-blog colors, or a cinematic flat look, get a full preset-style breakdown you can apply in Lightroom or Capture One.

Social Media Batch Editing: When you have 30 photos from the same shoot, consistency matters. This workflow helps you define a base edit and apply it efficiently across your set, with notes on which images need individual adjustments.

Quick Start Guide

Step 1 — Share Your Image or Describe It: You can paste in a photo, link to one, or simply describe the scene, the problem, and your editing goal. The more context you give — lighting conditions, intended platform, editing software — the more precise the guidance.

Step 2 — Get Your Editing Plan: You'll receive a structured breakdown: what to fix first, which tools or adjustments to use, suggested values for sliders or settings, and any layer or masking techniques needed.

Step 3 — Ask Follow-Up Questions: Not happy with how a step turned out? Describe what went wrong and get a revised approach. This is an iterative process — you're not locked into the first recommendation.

Step 4 — Apply & Export: Once your edits are dialed in, get export settings optimized for your use case — web compression, print resolution, social media cropping ratios, or file format conversion.