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FPGA Version Control
Local, secrecy-grade version control for FPGA projects - every bitstream traceable to its exact source commit via SHA-256 manifest.
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See it in action
You say
I found an old bitstream named 'test_config.bit' on a USB stick. I need to know which Verilog commit produced this so I can debug the timing issues.
Your agent does
MATCH FOUND: 'test_config.bit' is identical to entry in MANIFEST.md. Commit : a3f92c1 Toolchain : vivado 2025.1 Date : 2025-08-13 Run 'git checkout a3f92c1' to restore the exact source state.
What you get
About this skill
The problem
FPGA development often leaves a trail of orphaned bitstreams and unidentifiable binary artifacts spread across network shares. Without a rigid link between source code commits and generated hardware files, verifying what code is actually running on a board becomes impossible.
What it does
- Enforces a standardized local repository layout for Verilog, constraints, scripts, and documentation.
- Automates bitstream tracking by renaming files with commit hashes and logging SHA-256 manifests.
- Provides a reverse-lookup tool to identify unknown
.bitor.binfiles and match them to their original source commit. - Orchestrates local-only Git server setups (Forgejo/Docker) to keep sensitive IP off the cloud.
- Implements signed tags and evidence chains to document development chronology for patent or prior-art protection.
Frameworks & tools
Git, Git-LFS, Bash (3.2+), Docker, Forgejo, Synology/NAS environments, and FPGA toolchains like Vivado.
Why this beats prompting it yourself
General-purpose LLMs lack the specific constraints required for hardware versioning, such as avoiding SMB mounts for .git folders or handling large binary artifacts correctly. This skill provides battle-tested shell scripts for manifest management and specific infrastructure patterns that ensure 100% traceability between bits and code.
Use cases
- Identify which source code version a customer's returned bitstream was built from.
- Clean up a legacy NAS share full of unnamed FPGA projects and unlinked binaries.
- Establish a provable timeline of inventions using signed GPG tags without external exposure.
- Migrate loose project folders into a structured Git-LFS workflow with automated manifest logging.
Known limitations
Requires a local Bash environment (Linux or macOS). Does not support cloud-based CI/CD or SaaS platforms like GitHub/GitLab by design to maintain air-gapped security.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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