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    FPGA 12/13 · Deploy Claude — Release and Handover

    1

    Packages validated FPGA designs into deployment-ready releases for users without hardware backgrounds.

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    See it in action

    You say

    Prepare a release package for the validated FFT accelerator. The software team needs to run it on the target board without touching HDL or pragmas.

    Your agent does

    Release package prepared.

    • Bitstream: fft_v2_res_4k.bit (sourced from repo)
    • API: Call signature identical to fft_ref.py
    • Test: acceptance_test.py included (Software vs HW check)
    • Handover: Gain identified as 12x end-to-end (repartitioning based). Manual loading fallback documented.

    What you get

    Package FPGA designs for users with zero hardware background.Standardize APIs for drop-in hardware/software interchangeability.Generate honest performance handover documents and acceptance tests.Automate release manifests with full source-state traceability.

    About this skill

    The problem

    FPGA accelerators often fail at the handoff stage because domain users without hardware backgrounds cannot navigate HDL, constraints, or complex synthesis tools. A technically perfect design is useless if the recipient cannot commission it without touching hardware-specific code.

    What it does

    • Packages verified bitstreams from existing repositories to avoid redundant and error-prone re-synthesis.
    • Enforces call compatibility between software references and hardware variants so calling code remains unchanged.
    • Generates automated receiver acceptance tests to verify bit-level results against software references within defined tolerances.
    • Produces a transparent handover document that distinguishes between raw kernel speedups and actual end-to-end performance gains.
    • Builds release manifests with checksums to ensure every delivery artifact is traceable to its original source state.

    Why this beats prompting it yourself

    This skill enforces a rigid delivery protocol that prevents common deployment traps like "hidden HDL" requirements or missing manual fallbacks. It ensures the agent focuses on the recipient's ability to run the system without hardware knowledge, rather than just generating files.

    Use cases

    • Creating a ready-to-run FPGA release package for a software engineering team.
    • Generating a handover document that honestly communicates performance gains and limitations.
    • Setting up a two-stage deployment path to validate designs on cheap hardware before target rollout.
    • Standardizing an API signature to allow seamless switching between CPU and FPGA implementations.

    Known limitations

    Requires a fully worked-through release catalog from preceding documentation stages to begin the packaging process.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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