hdl-simulation
Multi-simulator expertise for functional verification of FPGA designs
npx skills add a5c-ai/babysitter --skill hdl-simulation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# HDL Simulation Skill ## Overview Expert skill for HDL simulation across multiple simulators, enabling comprehensive functional verification of FPGA designs. ## Capabilities - Generate simulation scripts (do files, tcl) - Configure ModelSim/Questa simulations - Configure Vivado Simulator (xsim) - Configure VCS and Xcelium simulations - Analyze waveforms for debugging - Generate VCD and FSDB dumps - Configure code coverage collection - Support mixed-language simulation ## Target Processes - functional-simulation.js - testbench-development.js - uvm-testbench.js - constrained-random-verification.js ## Usage Guidelines ### Simulator Setup - Create project-specific compilation scripts - Configure library mappings - Set up include paths and search paths - Define simulation options - Configure waveform dump formats ### ModelSim/Questa ```tcl vlib work vlog -sv +incdir+../rtl ../rtl/*.sv vsim -voptargs="+acc" tb_top add wave -recursive /* run -all ``` ### Vivado Simulator (xsim) ```tcl xvlog --sv ../rtl/*.sv xelab -debug typical tb_top -s tb_sim xsim tb_sim -runall ``` ### VCS ```bash vcs -sverilog -debug_access+all -f filelist.f -o simv ./simv +vcs+vcdpluson ``` ### Waveform Analysis - I
- Overview
- Capabilities
- Target Processes
- Usage Guidelines
- Simulator Setup
- ModelSim/Questa
- Vivado Simulator (xsim)
- VCS
- Waveform Analysis
- Coverage Collection
- Mixed-Language
- Dependencies
vcs -sverilog -debug_access+all -f filelist.f -o simv
What does the hdl-simulation skill do?
Multi-simulator expertise for functional verification of FPGA designs
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill hdl-simulation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.