Place and Route Skill

SkillDev tools

Expert skill for FPGA place and route optimization and physical implementation

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Place and Route Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/fpga-programming/skills/place-and-route/SKILL.md and read by ahel’s review.

Overview

Expert skill for FPGA place and route optimization, achieving timing closure and optimal resource utilization through physical implementation strategies.

Capabilities

  • Create floorplans for large designs
  • Define Pblocks and placement constraints
  • Analyze and resolve routing congestion
  • Apply physical optimization directives
  • Use incremental implementation flows
  • Optimize for timing closure
  • Analyze and fix timing violations
  • Generate utilization and timing reports

Target Processes

  • place-and-route.js
  • timing-closure.js
  • clock-network-design.js

Usage Guidelines

Floorplanning Strategy

  • Identify major functional blocks
  • Allocate resources by region
  • Consider data flow and connectivity
  • Plan for clock distribution
  • Reserve space for debug logic

Pblock Constraints

  • Define rectangular regions
  • Assign hierarchical modules
  • Set resource limits per Pblock
  • Consider I/O proximity
  • Allow flexibility for routing

Congestion Resolution

  • Identify congested regions in reports
  • Apply SpreadLogic directives
  • Adjust Pblock boundaries
  • Consider logic restructuring
  • Use alternate routing architectures

Physical Optimization

  • Enable post-place optimization
  • Apply post-route physical optimization
  • Use retiming when beneficial
  • Consider register replication
  • Balance pipeline stages

Incremental Flows

  • Lock placed/routed cells
  • Use reference checkpoints
  • Minimize ECO iterations
  • Preserve timing-critical paths
  • Update only changed logic

Dependencies

  • P&R tool awareness (Vivado, Quartus)
  • FPGA architecture knowledge
  • Physical constraint syntax

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
place-and-route
Source
github.com/a5c-ai/babysitter