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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    FPGA Booth Recoding Multiplier

    2

    Radix-4 Booth multiplier design with verified RTL and an exhaustive golden model — halve your partial products without sign-extension bugs.

    $30

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    FPGA Booth Recoding Multiplier

    FPGA Booth Recoding Multiplier

    Example session with this skill installed

    Generate a 16-bit signed Radix-4 Booth multiplier in Verilog with the corresponding Python golden model for verification.

    • Read your context and instructions
    • Compiled the fpga booth recoding
    • Generated the UI component

    RTL generated: booth_mult_16x16.v (parameterized).
    Logic: Radix-4 recoding, 8 partial products, MSB inversion for sign-prevention.
    Correction Vector C: 0xAAAA8000.
    Run python3 scripts/booth_golden.py --width 16 to verify against hardware-accurate partial products.

    booth-recoding-multiplier.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Design a radix-4 Booth multiplier in Verilog without sign-extension bugsVerify a multiplier implementation against an exhaustive bit-exact golden modelDecide between Booth recoding and plain AND-array partial products on FPGA

    About this skill

    Build radix-4 (modified Booth) multipliers that actually work on the first synthesis.

    What you get:

    • The complete radix-4 recoding tables and encoder equations, with the sign-extension-prevention correction vector derived in closed form — the part most implementations get wrong.
    • One's-complement negative partial products with separate correction bits, signed AND unsigned operand handling (including the extra top digit unsigned operands need).
    • Parameterized Verilog-2001: digit encoder, partial-product generator, and a full generate-loop multiplier — compiled and simulated with 1,515 checks, 0 errors, including the INT_MIN x INT_MIN corner.
    • A pure-stdlib Python golden model that reproduces the hardware algorithm bit-exactly (rows + neg bits + correction vector, not a shortcut a*b) — verified exhaustively on all 65,536 signed 8x8 pairs plus random 32x32, with a debug CLI that prints the recoded digits for any operand pair.
    • An honest FPGA-vs-ASIC section: when Booth pays off on LUT fabrics and when a plain AND-array partial-product multiplier is the better choice.

    Run python3 scripts/booth_golden.py after install: it self-tests in seconds and exits 0. Every claim in this skill is backed by that runnable evidence.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated5 days ago

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