How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

90 days of the enterprise, pro and team plans free, no card needed. See the plans

OpenSmartRoute

svg-precision-skill - Skill - OpenSmartRoute

Skillv1.0.0

svg-precision-skill

Name: svg-precision-skill
Author: dkyazzentwatwa

Generate deterministic SVGs from structured specs with validation and rendering. Use for icons, diagrams, charts, UI mockups, and technical drawings.

by dkyazzentwatwa(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Imported from dkyazzentwatwa/chatgpt-skills (svg-precision-skill/SKILL.md). Install upstream with npx skills add dkyazzentwatwa/chatgpt-skills --skill svg-precision-skill. Copyright stays with the author.

SVG Precision Skill

Build SVGs from explicit scene specifications, then validate before handing them off.

Workflow

Translate the request into a concrete spec with fixed dimensions and coordinates.
Use references/spec.md for templates and references/recipes.md for stable layout patterns.
Build the SVG with scripts/svg_cli.py build.
Validate with scripts/svg_cli.py validate.
Render a PNG preview when the user needs a quick visual check.

Rules

Set viewBox, width, and height explicitly.
Prefer absolute coordinates and simple shapes.
Treat text as risky when exact rendering matters.
Avoid exotic filters unless they are necessary and testable.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'

Installed into a catalogue, chosen by a router

Install svg-precision-skill and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

Photo: RDNE Stock project

For the business

What it costs to adopt - in engineering time.

Same client, same code
One base URL
The OpenAI-compatible endpoint answers your existing SDK calls; model=auto lets the router choose.
The SDKs
One URL, every vendor
No vendor lock-in
Point your OpenAI-compatible client at one address; add, swap or retire providers in the catalogue without touching application code.
Every vendor side by side
Next eligible model answers
Failover built in
When a provider is down or over quota the request moves on; the trace says it did.

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

dkyazzentwatwa-chatgpt-skills-svg-precision-skill.ocm.jsonjson

{
  "ocm": "1",
  "id": "dkyazzentwatwa-chatgpt-skills-svg-precision-skill",
  "kind": "skill",
  "name": "svg-precision-skill",
  "description": "Generate deterministic SVGs from structured specs with validation and rendering. Use for icons, diagrams, charts, UI mockups, and technical drawings.",
  "publisher": "dkyazzentwatwa",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Generate deterministic SVGs from structured specs with validation and rendering. Use for icons, diagrams, charts, UI mockups, and technical drawings."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/dkyazzentwatwa/chatgpt-skills",
      "path": "svg-precision-skill/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/dkyazzentwatwa/chatgpt-skills/blob/HEAD/svg-precision-skill/SKILL.md",
      "key": "dkyazzentwatwa/chatgpt-skills/svg-precision-skill/SKILL.md"
    }
  },
  "instructions": "# SVG Precision Skill\n\nBuild SVGs from explicit scene specifications, then validate before handing them off.\n\n## Workflow\n\n1. Translate the request into a concrete spec with fixed dimensions and coordinates.\n2. Use `references/spec.md` for templates and `references/recipes.md` for stable layout patterns.\n3. Build the SVG with `scripts/svg_cli.py build`.\n4. Validate with `scripts/svg_cli.py validate`.\n5. Render a PNG preview when the user needs a quick visual check.\n\n## Rules\n\n- Set `viewBox`, width, and height explicitly.\n- Prefer absolute coordinates and simple shapes.\n- Treat text as risky w",
  "cost": {
    "context_tokens": 172
  }
}

Fetch it by URL: GET /api/v1/registry/dkyazzentwatwa-chatgpt-skills-svg-precision-skill/manifest?version=1.0.0

About

SVG Precision Skill

Workflow

Rules

Use it

Install svg-precision-skill and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Manifest

Reviews