genmedia - SKILL.md Agent Skill

name: genmedia description: > Use the genmedia CLI to search, inspect, run, and manage 1200+ fal.ai model endpoints. Trigger when the user mentions "genmedia", "fal CLI", or asks to "search models", "run a model", "fetch schema", "check pricing", "upload to fal", "queue async job", "track request", or any direct interaction with the fal.ai endpoint catalog. This is the foundational skill. Every other fal.ai-related skill in this repo executes its work through genmedia commands. Use `--json` whenever the output will be parsed by an agent.

genmedia CLI: fal.ai endpoint runner

genmedia is the agent-first CLI for fal.ai. It works in a terminal for humans (pretty output) and equally well for agents (structured JSON when piped or with --json). All other skills in this repo call genmedia for execution, they do not wrap the fal.ai HTTP API directly.

For the full command surface (every flag, every option, every example), see references/full-reference.md.

Critical rules

Always use --json when an agent will read the output. Pretty mode is for humans only.
Prefer smart routing for default-quality requests. genmedia run "<prompt>" (no endpoint, no --prompt needed) classifies the prompt and routes to a sensible default per modality. Only do explicit endpoint discovery when the user names a model, asks for a non-default behavior (specific style, quality tier, parameter), or the smart-route default is wrong for the task.
Never invent endpoint IDs. When you do need a specific endpoint, use genmedia models "<query>" to discover (auto-filters by inferred modality) and genmedia models --endpoint_id <id> to verify.
Inspect schema before running with custom params. genmedia schema <endpoint_id> --json shows the exact field names. Smart routing only needs prompt; explicit endpoints with custom params need a schema check first or guessed flags fail with 422.
Save files with --download, not curl. The CLI handles authentication, naming, and file format detection.
Use --async for long-running generation. Image work usually completes inline; video/audio/3D usually need queue + status polling.

Command index

Command	Purpose
`genmedia setup`	Configure API key, output mode, auto-update
`genmedia models <query>`	Search the catalog (or `--category`, or `--endpoint_id`)
`genmedia schema <endpoint_id>`	Inspect inputs/outputs (compact or `--format openapi`)
`genmedia run <endpoint_id> --<param> <value>`	Execute a model
`genmedia status <endpoint_id> <request_id>`	Poll an async job (with `--result`, `--logs`, `--cancel`, `--download`)
`genmedia upload <path-or-url>`	Upload a local file or remote URL to the fal.ai CDN
`genmedia pricing <endpoint_id>`	Check cost per call
`genmedia docs <query>`	Search fal.ai documentation
`genmedia init`	Install the default skill bundle into `.agents/skills/` or `.claude/skills/`
`genmedia skills <list	install
`genmedia version` / `genmedia update`	Check or apply CLI updates

Quick patterns

Smart routing (preferred for default-quality requests)

The CLI classifies the prompt by modality (image / video / music / tts / 3d) and picks a sensible default endpoint. The output includes a routed block so you can verify which endpoint actually ran.

genmedia run "a cat on the moon" --json
genmedia run "a 5-second clip of a robot dancing" --json
genmedia run "narrate this paragraph in a calm voice" --json

Override anytime with an explicit endpoint id (positional that contains /):

genmedia run fal-ai/flux/pro --prompt "a cat on the moon" --json

Discover when the user names a fuzzy task or wants a specific endpoint

genmedia models "<query>" auto-applies --category from the same classifier the smart router uses, so the result list is focused on the right modality. Pass --no-classify to disable, or --category <cat> to override.

genmedia models "background removal product image" --json
genmedia models --category text-to-video --limit 5 --json
genmedia models "video models with character consistency" --no-classify --json
genmedia docs "webhook callbacks" --json

Run a specific model and download the result

genmedia run fal-ai/flux/dev \
 --prompt "a cat on the moon" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Async + poll

SUBMIT=$(genmedia run fal-ai/veo3.1 --prompt "a dog running" --async --json)
REQ=$(echo "$SUBMIT" | jq -r '.request_id')
genmedia status fal-ai/veo3.1 "$REQ" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Smart routing also works for async — the response includes routed and endpoint_id so you know which endpoint to poll on status:

SUBMIT=$(genmedia run "a 30-second video of waves" --async --json)
REQ=$(echo "$SUBMIT" | jq -r '.request_id')
EP=$(echo "$SUBMIT" | jq -r '.endpoint_id')
genmedia status "$EP" "$REQ" --download "./out/" --json

Upload then run

URL=$(genmedia upload ./photo.jpg --json | jq -r '.url')
genmedia run fal-ai/nano-banana-pro/edit \
 --image_urls "$URL" \
 --prompt "make the sky stormy" \
 --download "./out/{request_id}_{index}.{ext}" \
 --json

Setup (first-time only)

If genmedia is not installed:

curl https://genmedia.sh/install -fsS | bash # Linux / macOS
irm https://genmedia.sh/install.ps1 | iex # Windows PowerShell
genmedia setup --non-interactive --api-key "$FAL_KEY"

For full setup details (output modes, auto-update, .env loading) see full-reference.md.