Fal Vision
Wire fal.ai vision models into your agent workflow for segmentation, detection, OCR, captioning, and visual Q&A on images.
Overview
fal-vision is an agent skill for the Build phase that analyzes images—segment, detect, OCR, describe, and answer visual questions—through fal.ai vision models.
Install
npx skills add https://github.com/nexu-io/open-design --skill fal-visionWhat is this skill?
- Segments objects, runs detection, OCR, image description, and visual question answering via fal.ai vision models
- Catalogue entry in Open Design with upstream bundle at fal-ai-community/skills for full scripts and assets
- Trigger phrases include fal vision, object detection, ocr image, visual qa, and segment
- Mode/category metadata: image mode, image-generation catalogue family with vision analysis focus
- Install upstream bundle into the agent skills directory when you need the full executable workflow beyond discovery
Adoption & trust: 795 installs on skills.sh; 61.4k GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
Your agent feature needs structured understanding of images but you lack a consistent skill package for fal.ai vision calls during implementation.
Who is it for?
Indie builders adding screenshot QA, catalog enrichment, or document OCR via fal.ai during backend or agent integration sprints.
Skip if: Pure copywriting, legal shipping pages, or journey-wide planning rituals that never touch image APIs—use domain-specific skills instead.
When should I use this skill?
User mentions fal vision, image analysis, object detection, ocr image, visual qa, or segment.
What do I get? / Deliverables
The agent can invoke fal-vision by name or triggers and follow upstream install guidance so image analysis steps are repeatable in your build pipeline.
- Agent-invoked vision analysis results (descriptions, OCR text, detections, or VQA answers)
- Integration path documented via upstream README install steps
Recommended Skills
Journey fit
fal-vision sits on Build because it connects an external vision API into the product or agent pipeline rather than replacing upstream research or launch copy work. It is an third-party model integration (fal.ai community skills), so integrations is the correct shelf—not generic frontend styling.
How it compares
Skill package for fal.ai vision endpoints, not a self-hosted computer-vision training pipeline or a generic markdown-only prompt.
Common Questions / FAQ
Who is fal-vision for?
Solo builders and small teams using agentic IDEs who already use or plan to use fal.ai and want a named skill for image analysis tasks.
When should I use fal-vision?
Use it during Build (integrations) when implementing upload flows, OCR, visual QA, or segmentation; invoke with phrases like fal vision, image analysis, object detection, or ocr image.
Is fal-vision safe to install?
It points to third-party fal.ai services and an upstream GitHub bundle—review the Security Audits panel on this page, verify the upstream repo, and scope network/API keys before enabling in production agents.
SKILL.md
READMESKILL.md - Fal Vision
# fal-vision > Curated from the fal.ai community team. ## What it does Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models. ## Source - Upstream: https://github.com/fal-ai-community/skills - Category: `image-generation` ## How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory: ```bash # Inspect the upstream README for exact paths open https://github.com/fal-ai-community/skills ``` Then ask the agent to invoke this skill by name (`fal-vision`) or with one of the trigger phrases listed in this skill's frontmatter.