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FPGA 06/13 · Vivado Claude — Synthesis and Build
Scripted Vivado synthesis and implementation skill with resource validation and inference tracking.
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See it in action
You say
Run the synthesis flow for the pulse_processor module on a Kintex-7. Check if the 128KB buffer fits in BRAM and ensure the pipeline registers aren't optimized away.
Your agent does
Starting Station 06 build. Pre-check: 128KB requires 32 BRAM36 blocks (88% of target). Lint: Found 2 constant FFs in control_reg, classified as intentional. Synthesis: TCL flow initiated. Utilization: DSP48 inference successful. Distributed RAM usage < 2%. Checkpoint created for Mode 07.
What you get
About this skill
The problem
Synthesis often feels like a black box where a "green checkmark" hides critical failures in hardware mapping. Without disciplined reporting, you risk discovering late that your memory buffers ate all your LUTs or your DSP slices failed to infer, forcing expensive redesigns after hours of implementation.
What it does
- Executes a scripted TCL build flow with mandatory checkpoints for synthesis, placement, and routing.
- Validates BRAM and DSP resource requirements against specific board limits before starting the synthesis run.
- Performs a pre-synthesis lint pass to catch multiple drivers, constant flip-flops, and port-width mismatches.
- Analyzes utilization reports to distinguish between infrastructure overhead and actual payload logic.
- Identifies inference failures where block RAM or multipliers are incorrectly mapped to logic gates.
Frameworks & tools
AMD Vivado Design Suite, TCL scripting, Yosys (for area estimation), Verilog, SystemVerilog.
Why this beats prompting it yourself
Standard LLM prompts often ignore the nuance of hardware primitives and physical constraints. This skill enforces a rigorous FPGA engineering methodology that treats synthesis as a logged contract rather than a simple file conversion, ensuring every optimization and resource trade-off is documented and traceable.
Use cases
- Migrating RTL designs to new FPGA parts with different DSP geometries.
- Debugging timing failures caused by tool-driven optimization of pipeline registers.
- Optimizing resource-constrained designs to prevent local routing congestion.
- Automating CI/CD pipelines for FPGA builds with granular stage reporting.
Known limitations
Requires an existing simulation-passed RTL design and valid constraint files. Utilization results are device-specific and do not port across different FPGA families without re-analysis.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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