AI Content Pipeline Skill

Generate AI content (images, videos, audio) and analyze media using AICP.

Reference files:

• REFERENCE.md - model specs, API endpoints, troubleshooting
• EXAMPLES.md - YAML pipeline examples

FAL API Key Setup

QCut resolves the FAL key from a 3-tier fallback (highest priority wins):

Tier	Source	How to set
1	Environment variable	export FAL_KEY=your_key
2	QCut Electron store	Editor -> Settings -> API Keys
3	AICP CLI credential store	aicp set-key FAL_KEY

Recommended for Claude Code / CLI workflows:

# Set FAL key persistently (secure hidden prompt, stored at ~/.config/video-ai-studio/credentials.env)
aicp set-key FAL_KEY

# Verify the key is stored
aicp check-keys

# Or use the bundled binary directly
./electron/resources/bin/aicp/darwin-arm64/aicp set-key FAL_KEY

Once set via any tier, QCut automatically injects the key when spawning AICP for generation commands. No .env file or GUI interaction is required.

Quick check — verify FAL key is available before generating:

aicp check-keys

If FAL_KEY shows not set, set it using any method above.

Usage Modes

Mode 1 (Recommended): QCut Bundled AICP

Use this when working inside QCut.

What QCut handles for you:

• bundled aicp binary (no local Python or pip required)
• 3-tier API key resolution (env > Electron store > AICP CLI store)
• FAL_KEY injection at spawn time for generation commands
• output path recovery and optional media auto-import in app flow

Setup steps:

1. Set your FAL key via CLI (aicp set-key FAL_KEY) or GUI (Editor -> Settings -> API Keys).
2. Use AI generation features from the app or CLI.

Notes:

• No .env file is required for normal QCut usage.
• If key is missing, app should fail fast with actionable guidance.
• Settings UI shows a source badge (env/app/cli) next to each key.

Mode 2: Standalone CLI (Debug/Dev)

Use this for local debugging outside QCut.

# Use bundled binary directly
./electron/resources/bin/aicp/darwin-arm64/aicp --version
./electron/resources/bin/aicp/darwin-arm64/aicp --help

Set keys via the CLI credential store (persistent, secure):

aicp set-key FAL_KEY
# optional
aicp set-key GEMINI_API_KEY
aicp set-key ELEVENLABS_API_KEY

Or export keys manually per session:

export FAL_KEY=your_fal_key

Mode 3: QCut CLI Key Management

QCut's Electron binary can also delegate key management headlessly:

./QCut set-key FAL_KEY      # Delegates to bundled aicp set-key
./QCut check-keys           # Shows all key statuses
./QCut delete-key FAL_KEY   # Removes a stored key

Quick Commands

Always inspect available models first in your current environment:

aicp list-models

Then use a model returned by your local list-models output.

Generate Image

aicp generate-image \
  --text "A cinematic portrait at golden hour" \
  --model MODEL_FROM_LIST_MODELS

Generate Video

aicp create-video --text "A serene mountain lake at sunset" --model wan_2_6

Generate Avatar (Lipsync)

aicp generate-avatar \
  --image-url "https://..." \
  --audio-url "https://..." \
  --model omnihuman_v1_5

Transfer Motion

aicp transfer-motion -i person.jpg -v dance.mp4

Analyze Video (CLI)

aicp analyze-video -i video.mp4
aicp analyze-video -i video.mp4 -t timeline -m gemini-2.5-flash
aicp analyze-video -i video.mp4 -t transcribe
aicp analyze-video -i video.mp4 -t describe -f json

Analyze Video (HTTP API)

QCut exposes video analysis through the Claude HTTP server (port 8765). Accepts video from timeline elements, media panel items, or file paths.

# Analyze from file path
curl -X POST http://localhost:8765/api/claude/analyze/PROJECT_ID \
  -H "Content-Type: application/json" \
  -d '{"source":{"type":"path","filePath":"/path/to/video.mp4"},"analysisType":"timeline","model":"gemini-2.5-flash"}'

# Analyze from media panel
curl -X POST http://localhost:8765/api/claude/analyze/PROJECT_ID \
  -H "Content-Type: application/json" \
  -d '{"source":{"type":"media","mediaId":"MEDIA_ID"},"analysisType":"timeline"}'

# Analyze from timeline element
curl -X POST http://localhost:8765/api/claude/analyze/PROJECT_ID \
  -H "Content-Type: application/json" \
  -d '{"source":{"type":"timeline","elementId":"ELEMENT_ID"},"analysisType":"transcribe"}'

# List available analysis models
curl http://localhost:8765/api/claude/analyze/models

Run YAML Pipeline

PIPELINE_PARALLEL_ENABLED=true aicp run-chain --config pipeline.yaml

Model and Feature Availability

Do not assume all documented models are enabled in every runtime.

Availability depends on:

• packaged binary build contents
• provider modules present in runtime
• API keys and account/provider access

Practical rule:

• treat aicp list-models as source of truth for your current machine/runtime

Known CLI Caveats

• list-models may emit provider initialization warnings in standalone mode.
• list-models does not reliably support --json in current upstream behavior.
• generate-image can fail if selected model is not actually available in your runtime.

Output Structure

Generated content should follow QCut project structure:

media/generated/
├── images/
├── videos/
└── audio/

This aligns with native-cli project-organization commands (init-project, organize-project, structure-info).

FAL API Direct Access

For direct API calls (not via CLI), model keys still map to endpoint slugs. See REFERENCE.md for endpoint mappings.

Key Files Reference

Component	File
Key storage & fallback	electron/api-key-handler.ts
AICP spawn + key injection	electron/ai-pipeline-handler.ts
Binary manager	electron/binary-manager.ts
Settings UI (key source badges)	apps/web/src/components/editor/properties-panel/settings-view.tsx
CLI key delegation	electron/main.ts (CLI_KEY_COMMANDS block)
Binary manifest	resources/bin/manifest.json
Video analysis handler	electron/claude/claude-analyze-handler.ts
Analysis types & API	electron/types/claude-api.ts (AnalyzeSource, AnalyzeOptions, AnalyzeResult)
Analysis HTTP routes	electron/claude/claude-http-server.ts
Analysis tests	electron/__tests__/claude-analyze-handler.test.ts
Fallback tests	electron/__tests__/api-key-aicp-fallback.test.ts