yaml
YAML wire format for json-render with streaming parser, prompt generation, and AI SDK transform. Use when working with @json-render/yaml, YAML-based spec streaming, yaml-spec/yaml-edit fences, or YAML prompt generation.
How do I install this agent skill?
npx skills add https://github.com/vercel-labs/json-render --skill yamlIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides documentation and implementation patterns for the @json-render/yaml library. It facilitates YAML-based streaming and prompt generation, utilizing standard development practices and resources from a verified vendor.
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Risk: LOW · No issues
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Score: 93/100 · 2 sections analyzed
What does this agent skill do?
@json-render/yaml
YAML wire format for @json-render/core. Progressive rendering and surgical edits via streaming YAML.
Key Concepts
- YAML wire format: Alternative to JSONL that uses code fences (
yaml-spec,yaml-edit,yaml-patch,diff) - Streaming parser: Incrementally parses YAML, emits JSON Patch operations via diffing
- Edit modes: Patch (RFC 6902), merge (RFC 7396), and unified diff
- AI SDK transform:
TransformStreamthat converts YAML fences into json-render patches
Generating YAML Prompts
import { yamlPrompt } from "@json-render/yaml";
import { catalog } from "./catalog";
// Standalone mode (LLM outputs only YAML)
const systemPrompt = yamlPrompt(catalog, {
mode: "standalone",
editModes: ["merge"],
customRules: ["Always use dark theme"],
});
// Inline mode (LLM responds conversationally, wraps YAML in fences)
const chatPrompt = yamlPrompt(catalog, { mode: "inline" });
Options:
system(string) — Custom system message intromode("standalone" | "inline") — Output mode, default "standalone"customRules(string[]) — Additional rules appended to prompteditModes(EditMode[]) — Edit modes to document, default ["merge"]
AI SDK Transform
Use pipeYamlRender as a drop-in replacement for pipeJsonRender:
import { pipeYamlRender } from "@json-render/yaml";
import { createUIMessageStream, createUIMessageStreamResponse } from "ai";
const stream = createUIMessageStream({
execute: async ({ writer }) => {
writer.merge(pipeYamlRender(result.toUIMessageStream()));
},
});
return createUIMessageStreamResponse({ stream });
For multi-turn edits, pass the previous spec:
pipeYamlRender(result.toUIMessageStream(), {
previousSpec: currentSpec,
});
The transform recognizes four fence types:
yaml-spec— Full spec, parsed progressively line-by-lineyaml-edit— Partial YAML deep-merged with current spec (RFC 7396)yaml-patch— RFC 6902 JSON Patch linesdiff— Unified diff applied to serialized spec
Streaming Parser (Low-Level)
import { createYamlStreamCompiler } from "@json-render/yaml";
const compiler = createYamlStreamCompiler<Spec>();
// Feed chunks as they arrive from any source
const { result, newPatches } = compiler.push("root: main\n");
compiler.push("elements:\n main:\n type: Card\n");
// Flush remaining data at end of stream
const { result: final } = compiler.flush();
// Reset for next stream (optionally with initial state)
compiler.reset({ root: "main", elements: {} });
Methods: push(chunk), flush(), getResult(), getPatches(), reset(initial?)
Edit Modes (from @json-render/core)
The YAML package uses the universal edit mode system from core:
import { buildEditInstructions, buildEditUserPrompt } from "@json-render/core";
import type { EditMode } from "@json-render/core";
// Generate edit instructions for YAML format
const instructions = buildEditInstructions({ modes: ["merge", "patch"] }, "yaml");
// Build user prompt with current spec context
const userPrompt = buildEditUserPrompt({
prompt: "Change the title to Dashboard",
currentSpec: spec,
config: { modes: ["merge"] },
format: "yaml",
serializer: (s) => yamlStringify(s, { indent: 2 }).trimEnd(),
});
Fence Constants
For custom parsing, use the exported constants:
import {
YAML_SPEC_FENCE, // "```yaml-spec"
YAML_EDIT_FENCE, // "```yaml-edit"
YAML_PATCH_FENCE, // "```yaml-patch"
DIFF_FENCE, // "```diff"
FENCE_CLOSE, // "```"
} from "@json-render/yaml";
Key Exports
| Export | Description |
|---|---|
yamlPrompt | Generate YAML system prompt from catalog |
createYamlTransform | AI SDK TransformStream for YAML fences |
pipeYamlRender | Convenience pipe wrapper (replaces pipeJsonRender) |
createYamlStreamCompiler | Streaming YAML parser with patch emission |
YAML_SPEC_FENCE | Fence constant for yaml-spec |
YAML_EDIT_FENCE | Fence constant for yaml-edit |
YAML_PATCH_FENCE | Fence constant for yaml-patch |
DIFF_FENCE | Fence constant for diff |
FENCE_CLOSE | Fence close constant |
diffToPatches | Re-export: object diff to JSON Patch |
deepMergeSpec | Re-export: RFC 7396 deep merge |
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/vercel-labs/json-render/yaml">View yaml on skillZs</a>