hls-cpp-to-rtl
Expert skill for C/C++ to RTL conversion using High-Level Synthesis tools
npx skills add a5c-ai/babysitter --skill hls-cpp-to-rtl --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.
# HLS C/C++ to RTL Skill ## Overview Expert skill for High-Level Synthesis (HLS) development, converting C/C++ algorithms to optimized RTL implementations for FPGA acceleration. ## Capabilities - Write HLS-synthesizable C/C++ code - Apply Vitis HLS pragmas (PIPELINE, UNROLL, ARRAY_PARTITION) - Optimize loop initiation interval (II) - Configure HLS interface synthesis (AXI-MM, AXI-Stream, AXI-Lite) - Analyze HLS reports and iterate on design - Apply dataflow optimization - Handle fixed-point arithmetic (ap_fixed, ap_int) - Integrate HLS IP into Vivado block designs ## Target Processes - hls-development.js - hardware-software-codesign.js - ip-core-integration.js ## Usage Guidelines ### Code Structure - Use static arrays for memory inference - Avoid dynamic memory allocation - Structure loops for pipeline optimization - Use ap_int/ap_uint for arbitrary precision ### Key Pragmas - `#pragma HLS PIPELINE II=1` - Pipeline loops for throughput - `#pragma HLS UNROLL factor=N` - Unroll loops for parallelism - `#pragma HLS ARRAY_PARTITION` - Memory partitioning - `#pragma HLS DATAFLOW` - Task-level parallelism - `#pragma HLS INTERFACE` - Port protocol specification ### Interface Synthesis - *
- Overview
- Capabilities
- Target Processes
- Usage Guidelines
- Code Structure
- Key Pragmas
- Interface Synthesis
- Optimization Flow
- Dependencies
What does the hls-cpp-to-rtl skill do?
Expert skill for C/C++ to RTL conversion using High-Level Synthesis tools
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill hls-cpp-to-rtl --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.