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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    FPGA Reset Strategy

    2

    FPGA reset architecture as an area decision: why one wrong reset turns 4 BRAMs into 73,728 flip-flops, and the hybrid reset pattern that is always safe.

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    FPGA Reset Strategy

    FPGA Reset Strategy

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the fpga reset strategy
    • Generated the UI component

    The skill provides a parameterized booth_mult_16.v featuring a 9-row recoding logic. It includes the exact 0xAAAA8000 correction vector and a testbench. Running python3 booth_golden.py --width 16 confirms the algorithm against 65k+ directed and random vectors.

    fpga-reset-strategy.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

    Reduce partial product count by 50% in ASIC synthesis flows.Eliminate sign-extension bugs in custom hardware multipliers.Verify RTL against a bit-accurate Python hardware model.Correctly implement Radix-4 recoding for signed and unsigned integers.Decide which registers need a reset and which must not have oneDiagnose why synthesis used flip-flops instead of BRAM or SRL primitivesBuild a safe reset bridge with async assertion and synchronized deassertion

    About this skill

    Resets are not free. This skill treats FPGA reset architecture as the area and timing decision it really is.

    What you get:

    • The resource-cost mechanics: a reset on a RAM blocks block-RAM inference (computed: 18,432x area per displaced BRAM — 73,728 discrete flip-flop bits for one 4096x18 buffer), a reset on a delay line blocks shift-register primitives (16x), and async styles block register packing into DSP and dedicated resources.
    • The policy that follows: control-path registers get resets, datapath pipeline registers deliberately do not — with the reasoning you can defend in review.
    • Correctness rules: fully-async reset hazards (recovery/removal timing, release near the clock edge), fully-sync limitations, and the standard hybrid — asynchronous assertion with synchronized deassertion — as compile-checked Verilog-2001, plus multi-clock-domain reset ordering and internally-generated-reset pitfalls.
    • The synthesis interaction most guides skip: reset nets block register balancing and retiming, and the inversion workaround that unblocks them.
    • A pure-stdlib reset-policy auditor: describe your registers, RAMs and delay lines as JSON, get every violation flagged with its computed cost delta and a concrete remediation.

    Run python3 scripts/reset_cost_audit.py after install: five built-in cases self-test in seconds and exit 0. Every claim 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

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    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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    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated25 days ago

    What's inside

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