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name: native-cli description: Run QCut's native TypeScript pipeline CLI for AI content generation, video analysis, transcription, YAML pipelines, ViMax agentic video production, and project management. Also use for editor HTTP automation tasks (state snapshots, events, transactions, and notification bridge control) when user needs deterministic state-aware control.

Native Pipeline CLI Skill

Run QCut's built-in TypeScript pipeline CLI (qcut-pipeline / bun run pipeline).

Additional resources

• For standalone CLI commands (generate, analyze, transcribe, models, help, output formats), see REFERENCE.md
• For YAML pipelines, API key management, project management, see reference-pipelines.md
• For ViMax commands (idea2video, script2video, novel2movie, portraits), see reference-vimax.md
• For editor core reference: connection, flags, batch limits, env vars, common workflows, see editor-core.md
• For editor media & project commands, project.json schema, see editor-media.md
• For editor timeline & editing commands, see editor-timeline.md
• For editor export, diagnostics, MCP, screen recording, UI, Moyin, screenshots, state control, see editor-output.md
• For editor AI commands: video analysis, transcription, AI generation, Remotion, navigator, see editor-ai.md
• For editor state automation: snapshots, event streams, correlation IDs, transactions, capabilities, and notification bridge endpoints, see editor-state-control.md

Step 1: Ensure QCut is Running

Before any editor:* command, check if QCut is running. If not, build and launch it.

# Check if QCut is running
curl -s --connect-timeout 2 http://127.0.0.1:8765/api/claude/health || echo "NOT_RUNNING"

If NOT_RUNNING:

bun run build                # Build first
bun run electron &           # Launch in background
sleep 5                      # Wait for startup

Step 2: Find Project, Media & Timeline

Most editor commands need --project-id, --media-id, or --element-id. Run these to discover them.

# 1. List projects → get project-id
bun run pipeline editor:navigator:projects

# 2. Open a project (navigates the editor)
bun run pipeline editor:navigator:open --project-id <project-id>

# 3. Switch to editor panel (navigator:open lands on the landing page, NOT the editor)
bun run pipeline editor:ui:switch-panel --panel video-edit

# 4. List media → get media-id values
bun run pipeline editor:media:list --project-id <project-id> --json

# 5. Export timeline → get track-id and element-id values
bun run pipeline editor:timeline:export --project-id <project-id> --json

Now you have the IDs needed for all other editor commands.

How to Run

bun run pipeline <command> [options]            # Dev (recommended)
bun run electron/native-pipeline/cli/cli.ts <command> [options]  # Direct source
qcut-pipeline <command> [options]               # Production binary

Quick Commands

bun run pipeline list-models                          # List all models
bun run pipeline generate-image -t "A cinematic portrait at golden hour"
bun run pipeline create-video -m kling_2_6_pro -t "Ocean waves at sunset" -d 5s
bun run pipeline generate-avatar -m omnihuman_v1_5 -t "Hello world" --image-url avatar.png
bun run pipeline analyze-video -i video.mp4 --analysis-type summary
bun run pipeline transcribe -i audio.mp3 --srt
bun run pipeline run-pipeline -c pipeline.yaml -i "A sunset" --no-confirm
bun run pipeline estimate-cost -m veo3 -d 8s

ViMax Quick Start

bun run pipeline vimax:idea2video --idea "A detective in 1920s Paris" -d 120
bun run pipeline vimax:script2video --script script.json --portraits registry.json
bun run pipeline vimax:novel2movie --novel book.txt --max-scenes 20

API Key Setup

Keys stored in ~/.qcut/.env (mode 0600).

bun run pipeline setup          # Create .env template
bun run pipeline set-key --name FAL_KEY   # Set a key (interactive)
bun run pipeline check-keys     # Check configured keys

Supported keys: FAL_KEY, GEMINI_API_KEY, GOOGLE_AI_API_KEY, OPENROUTER_API_KEY, ELEVENLABS_API_KEY, OPENAI_API_KEY, RUNWAY_API_KEY, HEYGEN_API_KEY, DID_API_KEY, SYNTHESIA_API_KEY

Unified JSON Output

All commands support --json for machine-readable output using a consistent envelope:

bun run pipeline generate-image -t "A cat" --json

Three possible envelope shapes:

See REFERENCE.md for full envelope docs.

3-Level Progressive Help (JSON)

The CLI provides structured help at three levels when using --help --json:

# Level 1: Root — list all commands, categories, global flags
bun run pipeline --help --json

# Level 2: Command — flags (required/optional), examples, usage
bun run pipeline generate-image --help --json

# Level 3: Parameter — type, enum values, default, description
bun run pipeline generate-image --help model --json

Each level returns a JSON envelope ({ "status": "ok", "data": { ... } }).

project.json — Agent-Readable Project State

Two CLI commands export the full project state as structured JSON:

# Minimal (~200 tokens): counts + settings only
bun run pipeline editor:project:info --project-id <id> --json

# Full (~2000 tokens): settings + media[] + subtitles[] + generated[] + exports[] + jobs[]
bun run pipeline editor:project:info --project-id <id> --full --json

# Dump to disk
bun run pipeline editor:project:export-state --project-id <id>

See editor-media.md for the full project.json schema.

Global Options

Key Source Files