uvm-methodology
Deep expertise in Universal Verification Methodology (IEEE 1800.2) for FPGA verification
Profile →npx skills add a5c-ai/babysitter --skill uvm-methodology --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.
# UVM Methodology Skill ## Overview Expert skill for Universal Verification Methodology (UVM) development following IEEE 1800.2 standards for comprehensive FPGA verification. ## Capabilities - Generate UVM agent architecture (driver, monitor, sequencer) - Create UVM environments and scoreboards - Implement uvm_sequence and virtual sequences - Configure UVM factory and config_db - Implement functional coverage with covergroups - Design UVM register models (RAL) - Apply UVM phasing and objections correctly - Debug UVM testbenches effectively ## Target Processes - uvm-testbench.js - constrained-random-verification.js - testbench-development.js ## Usage Guidelines ### Agent Architecture - **Driver**: Converts sequence items to pin-level activity - **Monitor**: Observes DUT interface and creates transactions - **Sequencer**: Routes sequence items to driver - **Agent**: Contains driver, monitor, sequencer; configurable active/passive ### Environment Structure - Top-level environment contains agents and scoreboard - Scoreboard performs reference model comparison - Config objects distribute configuration - Virtual sequencer coordinates multiple agents ### Sequence Development - Extend from
- Overview
- Capabilities
- Target Processes
- Usage Guidelines
- Agent Architecture
- Environment Structure
- Sequence Development
- Coverage Strategy
- Best Practices
- Dependencies
What does the uvm-methodology skill do?
Deep expertise in Universal Verification Methodology (IEEE 1800.2) for FPGA verification
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill uvm-methodology --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.