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fal

Search, explore, and run fal.ai generative AI models (image generation, video, audio, 3D). Use when user wants to generate images, videos, or other media with AI models.

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Search, explore, and run fal.ai generative AI models (image generation, video, audio, 3D). Use when user wants to generate images, videos, or other media with AI models.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: models-reference.md, README.md, SKILL.md

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: apekshik
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

fal.ai Model API Skill

Run 1000+ generative AI models on fal.ai.

Arguments

Session Output

Save generated files to session folder: mkdir -p ~/.fal/sessions/${CLAUDE_SESSION_ID} Downloaded images/videos go to: ~/.fal/sessions/${CLAUDE_SESSION_ID}/

Authentication

Requires FAL_KEY environment variable. If requests fail with 401, tell user: Get an API key from https://fal.ai/dashboard/keys Then: export FAL_KEY="your-key-here"

If $0 = "search"

Search for models matching $1: curl -s "https://api.fal.ai/v1/models?q=$1&limit=15" \ -H "Authorization: Key $FAL_KEY" | jq -r '.models[] | "• \(.endpoint_id) — \(.metadata.display_name) [\(.metadata.category)]"' For category search, use: curl -s "https://api.fal.ai/v1/models?category=$1&limit=15" \ -H "Authorization: Key $FAL_KEY" | jq -r '.models[] | "• \(.endpoint_id) — \(.metadata.display_name)"' Categories: text-to-image, image-to-video, text-to-video, image-to-3d, training, speech-to-text, text-to-speech

If $0 = "schema"

Get input schema for model $1: curl -s "https://api.fal.ai/v1/models?endpoint_id=$1&expand=openapi-3.0" \ -H "Authorization: Key $FAL_KEY" | jq '.models[0].openapi.components.schemas.Input.properties' Show required vs optional fields to help user understand what inputs are needed.

If $0 = "run"

Run model $1 with parameters from remaining arguments. Step 1: Parse parameters Extract --key value pairs from $ARGUMENTS after the model_id to build JSON payload. Example: /fal run fal-ai/flux-2 --prompt "a cat" --image_size landscape_16_9 → Model: fal-ai/flux-2 → Payload: {"prompt": "a cat", "image_size": "landscape_16_9"} Step 2: Submit to queue curl -s -X POST "https://queue.fal.run/$1" \ -H "Authorization: Key $FAL_KEY" \ -H "Content-Type: application/json" \ -d '<JSON_PAYLOAD>' Step 3: Poll until complete # Get request_id from response, then poll: while true; do STATUS=$(curl -s "https://queue.fal.run/$1/requests/$REQUEST_ID/status" \ -H "Authorization: Key $FAL_KEY" | jq -r '.status') echo "Status: $STATUS" if [ "$STATUS" = "COMPLETED" ]; then break; fi if [ "$STATUS" = "FAILED" ]; then echo "Job failed"; break; fi sleep 3 done Step 4: Get result and save # Fetch result RESULT=$(curl -s "https://queue.fal.run/$1/requests/$REQUEST_ID" \ -H "Authorization: Key $FAL_KEY") # Create session output folder mkdir -p ~/.fal/sessions/${CLAUDE_SESSION_ID} # Download images/videos # For images: jq -r '.images[0].url' and curl to download # Save as: ~/.fal/sessions/${CLAUDE_SESSION_ID}/<timestamp>_<model>.png

If $0 = "status"

Check status of request $2 for model $1: curl -s "https://queue.fal.run/$1/requests/$2/status?logs=1" \ -H "Authorization: Key $FAL_KEY" | jq '{status: .status, queue_position: .queue_position, logs: .logs}'

If $0 = "result"

Get result of completed request $2 for model $1: curl -s "https://queue.fal.run/$1/requests/$2" \ -H "Authorization: Key $FAL_KEY" | jq '.'

If $0 = "upload"

Upload file $1 to fal CDN: curl -s -X POST "https://fal.run/fal-ai/storage/upload" \ -H "Authorization: Key $FAL_KEY" \ -F "file=@$1" Returns URL to use in model requests.

Quick Reference

Popular models: fal-ai/flux-2 — Fast text-to-image fal-ai/flux-2-pro — High quality text-to-image fal-ai/kling-video/v2/image-to-video — Image to video fal-ai/minimax/video-01/image-to-video — Image to video fal-ai/whisper — Speech to text Common parameters for text-to-image: --prompt "description" — What to generate --image_size landscape_16_9 — Aspect ratio (square, portrait_4_3, landscape_16_9) --num_images 1 — Number of images Example invocations: /fal search video — Find video models /fal schema fal-ai/flux-2 — See input options /fal run fal-ai/flux-2 --prompt "a sunset over mountains" /fal status fal-ai/flux-2 abc-123 /fal upload ./photo.png

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs

SKILL.md Primary doc
models-reference.md Docs
README.md Docs