ai-agent

virtuoso-bridge-lite: Streamline LLM‑Agent Integration with Cadence Virtuoso

Connect LLM agents to Cadence Virtuoso for faster analog and mixed‑signal design workflows. Ideal for founders building AI‑driven hardware tools.

From the repo · “Bridge between LLM-Agent and Cadence Virtuoso. A new infrastructure for Agentic Analog and Mixed-Signal Design. ”

925 stars+65★ this week191 forksPythonGuide quality 8/10 · reviewed Oct 10Updated 10/20/2026100% free · open source
What it does

Virtuoso-bridge-lite creates a bridge between LLM-Agent and Cadence Virtuoso for agentic analog design, allowing founders to leverage AI in mixed-signal design

When to use it
  • •When designing complex analog circuits that require AI-driven optimization
  • •When integrating AI agents into existing Cadence Virtuoso workflows
  • •When exploring new design spaces for mixed-signal systems with LLM-Agent
Ready-to-paste prompt
python bridge.py --llm-agent /path/to/llm/agent --virtuoso /path/to/virtuoso --design /path/to/design.file
Heads up: Ensure you have Cadence Virtuoso installed and properly configured on your system, as virtuoso-bridge-lite relies on this software for analog design functionality
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/virtuoso-bridge-lite && curl -fsSL https://workflowstacks.com/api/skills/virtuoso-bridge-lite/claude-skill -o ~/.claude/skills/virtuoso-bridge-lite/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How virtuoso-bridge-lite: Streamline LLM‑Agent Integration with Cadence Virtuoso works
Codeflow
Free to inspect

Virtuoso-bridge-lite: Streamline LLM‑Agent Integration with Cadence Virtuoso is a very large Python project (~62k lines across 202 code files, plus 107 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~62k lines · 202 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 95%TypeScript 3%IL Assembly 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    src/virtuoso_bridge/__init__.py
    Inside src/ — the main logic begins here
  5. 5
    examples/01_virtuoso/assets/file_ops.il
    A worked example — copy this to get going
What's in each folder
src/Core code — the actual logic102 files
skills/Prompts, skills & agent definitions33 files
examples/Examples you can copy99 files
docs/Documentation35 files
website/Project website26 files
stats/Folder5 files
mcp/Folder4 files
tools/Helper scripts3 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
Arcadia-1
Language
Python
Category
ai-agent
Published
4/2/2026

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/virtuoso-bridge-lite.svg)](https://workflowstacks.com/skills/virtuoso-bridge-lite?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.