drawio
MCPShips with drawio-skills: Important: Draw.io Skill is a YAML-first, offline-first base workflow. The default path is local…
Ships with fal-ai: Agent skills for fal.ai. The default execution path is the genmedia CLI: discover an endpoint, inspect its schema, run it, poll status when needed, and download outputs.
Claude Code
> /plugin marketplace add fal-ai-community/skills> /plugin install fal-ai@fal-community
Codex
$ codex mcp add fal --url https://mcp.fal.ai/mcp-relay
Cursor
{ "mcpServers": { "fal": { "url": "https://mcp.fal.ai/mcp-relay" } } }
Add it to mcp.json.
Gemini CLI
$ gemini mcp add --transport http fal https://mcp.fal.ai/mcp-relay
GitHub Copilot
$ copilot mcp add --transport http fal https://mcp.fal.ai/mcp-relay
OpenCode
{ "mcp": { "fal": { "type": "remote", "url": "https://mcp.fal.ai/mcp-relay" } } }
Add it to opencode.json.
Windsurf
{ "mcpServers": { "fal": { "serverUrl": "https://mcp.fal.ai/mcp-relay" } } }
Add it to mcp_config.json.
Security report
Low risk
Known flaws
Not published
Signed build
Not published
Maintained
Nov 7, 2026
Last push
Licence
MIT
Runs as
Remote
mcp.fal.ai
Deprecated
Not published
Signals from public registries, not an audit. Checked Nov 11, 2026.
Agent skills for fal.ai. The default execution path is the genmedia CLI: discover an endpoint, inspect its schema, run it, poll status when needed, and download outputs. Most skills in this repo are knowledge layers that tell an agent which endpoint to use, how to prompt it, and how to chain calls.
Compatible with Claude.ai Projects, Claude Code, and other agent platforms supporting the community skills format.
skills/<name>/.SKILL.md with name and description
frontmatter.references/ files for prompt patterns, endpoint
notes, examples, or workflows.skills/index.json is the generated registry for the current skill folders.genmedia unless a skill
explicitly documents another workflow in its own folder.| Skill | Purpose |
|---|---|
| genmedia | The CLI surface. models, schema, run, status, upload, pricing, docs. Every other skill calls genmedia for execution. |
| model-routing | Endpoint-first model defaults for production skills. |
| Skill | Purpose |
|---|---|
| fal-models-catalog | Curated endpoint picks across 10 modalities (text-to-image, image-to-image, text-to-video, image-to-video, video-to-video, text-to-3d, image-to-3d, text-to-audio, audio-to-text, image-to-text). |
| fal-prompting | Family-specific prompt craft (Kling, GPT Image 2, Happy Horse). |
| fal-recipes | Use-case pipelines (cinematography, character design, commercial, storytelling, lipsync, restoration, virtual try-on, video with audio, product shot). |
| Skill | Purpose |
|---|---|
| character-design | Original characters, identity anchors, reference consistency, and character-driven media. |
| cinematography | Cinematic stills and video direction: shot language, lighting, lens, color, and camera movement. |
| commercial | Product photography, ads, e-commerce batches, product reveal videos, and brand-safe product prompts. |
| marketing | Campaign matrices, launch kits, paid social variants, landing-page visuals, banners, and channel-specific marketing assets. |
| storytelling | Multi-shot narratives, storyboards, brand films, social stories, and sequence continuity. |
| ugc | Creator ads, talking-head clips, testimonials, demos, unboxing, reaction, faceless voiceover, and short vertical social videos. |
| Skill | Purpose |
|---|---|
| fal-workflow | Multi-step pipelines. Mode A authors fal.ai workflow JSON; Mode B drives genmedia CLI orchestration. |
| fan-cam | Personalized live sports broadcast fan-cam videos from a user photo with GPT Image 2 and Kling v3. |
| fal-gamedev | 2D pixel-art game assets: characters, sprite sheets, parallax and isometric backgrounds. |
| fal-redesign | Website redesign: screenshot review, vision-driven reference image, build spec, and implementation guidance. |
| fal-regenerate-3d | Interactive 3D character-selector experience with Three.js, Meshy, and Seedance. |
| genmedia-workflow | Genmedia-oriented workflow planning, node rules, pipeline patterns, and reusable recipes. |
Use the one-command installation guide for Codex, Claude Code and Cursor. Hybrid MCP packages for Codex, Cursor, supported Grok hosts and Gemini include the fal router, five outcome workflows and live guidance on demand. The complete 36-skill library remains available for project installation and full package builds. Claude MCP packages retain a full bundle by default.
Install the published Gemini CLI extension:
gemini extensions install https://github.com/fal-ai-community/fal-gemini-extension
The v0.1.0 release provides complete Claude, CLI, Gemini and OpenClaw archives with checksums. The Grok/Cursor v0.2.0 release provides the compact plugin; marketplace synchronization or review remains pending.
The official Registry entry, io.github.fal-ai-community/mcp,
is active at version 0.1.0. Gemini gallery indexing remains pending.
The Cline submission
awaits marketplace review. ClawHub publication awaits publisher sign-in and
ownership confirmation; no ClawHub package is published yet.
See the distribution guide for installation, publication status and local bundle builds. The Cline guide covers its remote connection. Builders only export files; publication uses separate manual steps.
| Skill | Deliverable |
|---|---|
| product-ad-campaign | Hero art, channel variants, motion ads and campaign manifest |
| game-asset-production | Transparent frames, atlas, animation preview and engine import metadata |
| storyboard-to-short-film | Rendered film, clean cut, shot table and audio stems |
| ecommerce-product-photography | Consistent hero, detail and lifestyle images by SKU |
| localize-and-repurpose | Localized speech, timed captions and channel cuts |
Each includes a stage plan for the shared resumable runner in genmedia/scripts/.
Production guidance imported from the fal agent lives with its version-pinned
references. See the source and compatibility inventory.
The generated registry is the full skill list.
python3 -m venv .venv
.venv/bin/pip install -r requirements-dev.txt
.venv/bin/python scripts/build-skills-index.py --check
.venv/bin/python -m unittest discover -s tests -v
Validation CI checks metadata, hashes, packaging, isolated installation, candidate schema fixtures and submission recovery. It publishes no release and runs no paid jobs. Registry publication uses a separate manual workflow.
skills/
└── skill-name/
├── SKILL.md # YAML frontmatter (name, description) + body
└── references/ # optional, for umbrellas
└── *.md
MIT
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