CDC Analysis Skill
SkillMediaSpecialized skill for clock domain crossing analysis and synchronizer design in FPGA designs
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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 CDC Analysis 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/cdc-analysis/SKILL.md and read by ahel’s review.
Overview
Expert skill for Clock Domain Crossing (CDC) analysis and synchronizer design, ensuring metastability-safe multi-clock FPGA designs.
Capabilities
- Identify all clock domain crossings in RTL
- Design 2FF and 3FF synchronizers with ASYNC_REG
- Implement Gray code counters for async FIFOs
- Design handshake protocols (req-ack, valid-ready)
- Calculate MTBF for synchronizers
- Generate CDC constraints (set_false_path, set_max_delay)
- Detect CDC violations (reconvergence, data stability)
- Support Xilinx CDC-aware design flows
Target Processes
- cdc-design.js
- reset-strategy.js
- clock-network-design.js
- timing-constraints.js
Usage Guidelines
Synchronizer Types
- 2FF Synchronizer: Standard single-bit synchronization (MTBF > 100 years typical)
- 3FF Synchronizer: High-reliability applications
- Pulse Synchronizer: Edge detection across domains
- Handshake Synchronizer: Multi-bit data with control signals
FIFO Design
- Use Gray code for pointer crossing
- Ensure proper empty/full flag generation
- Consider almost-empty/almost-full for flow control
- Apply correct FIFO depth calculation
Constraint Guidelines
set_false_pathfor 2FF synchronizer pathsset_max_delayfor data bus with valid synchronizationset_clock_groupsfor asynchronous clocks- Apply ASYNC_REG attribute to synchronizer flip-flops
CDC Violations to Detect
- Combinational logic between synchronizer stages
- Fan-out from unsynchronized signals
- Reconvergence of synchronized signals
- Data stability violations
Dependencies
- CDC analysis tool integration
- Vendor-specific CDC rule knowledge
- Metastability theory understanding
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
cdc-analysis- Source
- github.com/a5c-ai/babysitter