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Use AI to compile, validate, and generate Verilog for FPGA design.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.neosyn/cg-agent-kit" MCP server from askskill: Run: claude mcp add 'io-neosyn-cg-agent-kit' -- npx -y cg-agent-kit
Convert the following C code for an FIR filter into synthesizable Verilog, and explain the module interface, timing assumptions, and estimated resource usage.
A synthesizable Verilog module with interface notes, design assumptions, and resource estimates.
Check this Verilog for syntax issues, width mismatches, timing risks, or non-synthesizable constructs, and provide fixes.
A list of issues, explanations, and a suggested corrected HDL version.
Run the compile flow for this FPGA design, summarize the results, and identify failure causes or critical warnings.
Compilation status, key log highlights, and recommended next optimization or fixes.
Run FPGA toolchain tasks from linting and simulation to synthesis and programming.
Coordinate AI agents through negotiation for more efficient automated workflows.
Let AI assistants operate Vivado for FPGA development tasks directly.
Access advanced cognitive analytics for causal discovery, topology, and belief updating.
Operate design tools remotely for image processing and automated creative workflows.
Intelligent RAG tool that chooses between private knowledge and web search.