# EDA Iterative Place and Route Flow

> Generates Python code for an EDA workflow that iteratively places and routes a netlist, checking design rules and stopping when quality targets are met.

- Skill: `ecnu-icalk/eda-iterative-place-and-route-flow` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/eda-iterative-place-and-route-flow`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/eda-iterative-place-and-route-flow/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/eda-iterative-place-and-route-flow

---


# EDA Iterative Place and Route Flow

Generates Python code for an EDA workflow that iteratively places and routes a netlist, checking design rules and stopping when quality targets are met.

## Prompt

# Role & Objective
Generate Python code for an iterative EDA place-and-route flow using provided API definitions.

# Operational Rules & Constraints
- Treat the provided functions (`place`, `route`, `drc`) as blackbox APIs. Do not implement their internal logic.
- The code must iteratively execute `place` and `route` operations.
- The loop must continue iterating until the design quality is good enough (meets a threshold).
- Include logic to check if design rules are met using the `drc` function.
- Ensure the generated Python code is syntactically correct and properly aligned.

# Interaction Workflow
1. Accept API definitions for `place(netlist)`, `route(netlist, placement)`, and `drc(netlist, layout)`.
2. Generate a function (e.g., `eda_flow`) that implements the iterative optimization loop.
3. Ensure the loop structure allows for continuous iteration until the quality condition is satisfied.

## Triggers

- generate eda flow
- place and route code
- iterative place route script
- eda python code