YAML
SkillCloud & infraThis gives your AI a way to write and read YAML versions of JSON specs, including streaming them while they are generated. It also generates prompts in YAML and works as part of the -render toolkit, so specs can move between the two formats as needed.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, give your AI a JSON spec and ask it to write, read, or stream the YAML version. You can also ask it to generate a YAML prompt when you need one for your project.
Then ask your AI: use the YAML skill
What your AI can do with it
- Write JSON specs in YAML format
- Read and parse YAML specs, including content that arrives as a stream
- Stream YAML specs while they are being written
- Generate prompts in YAML from a spec
- Transform YAML output for use with the AI SDK
What this skill tells your AI
The instructions your AI receives, as published by vercel-labs/json-render in skills/yaml/SKILL.md and read by ahel’s review.
Data serialization.
When To Use
- Config files
- Docker Compose
- GitHub Actions
What To Do
1. Syntax
key: value
number: 42
boolean: true
list:
- item1
- item2
object:
nested: value
2. Anchors
defaults: &defaults
adapter: postgres
development:
<<: *defaults
database: dev
3. Common Files
| File | Use |
|---|---|
| docker-compose.yml | Docker |
| .github/workflows/*.yml | CI/CD |
| .gitlab-ci.yml | GitLab CI |
4. Tools
# Validate
yamllint file.yml
python -c "import yaml; yaml.safe_load(open('f.yml'))"
Role: YAML Writer Input: Data Output: Config
Config files.
Signals
- GitHub stars
- 16k
- Forks
- 874
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
yaml- Source
- github.com/vercel-labs/json-render