memory-interfaces
Expert skill for on-chip and external memory interface design in FPGAs
npx skills add a5c-ai/babysitter --skill memory-interfaces --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.
# Memory Interfaces Skill ## Overview Expert skill for on-chip and external memory interface design, enabling efficient memory utilization and high-bandwidth data access in FPGA systems. ## Capabilities - Infer Block RAM correctly (read-first, write-first) - Design distributed RAM and LUT RAM - Configure ECC for memory protection - Implement memory access controllers - Interface with DDR memory controllers - Optimize memory bandwidth utilization - Design memory arbitration logic - Handle memory initialization ## Target Processes - memory-interface-design.js - ip-core-integration.js - hardware-software-codesign.js ## Usage Guidelines ### Block RAM Inference - Use synchronous read/write patterns - Specify read-first or write-first mode - Apply ram_style attribute when needed - Consider true dual-port vs simple dual-port - Initialize with $readmemh for COE files ### Distributed RAM - Use for small, shallow memories - Asynchronous read capability - Lower latency than Block RAM - Use for FIFOs, small lookup tables - Apply ram_style="distributed" attribute ### ECC Implementation - Enable for reliability-critical data - Understand SECDED capabilities - Handle ECC error reporting - Conside
- Overview
- Capabilities
- Target Processes
- Usage Guidelines
- Block RAM Inference
- Distributed RAM
- ECC Implementation
- DDR Interface
- Memory Arbitration
- Dependencies
What does the memory-interfaces skill do?
Expert skill for on-chip and external memory interface design in FPGAs
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill memory-interfaces --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.
