Write the PRD (port handoff) for adding a new model to LibreYOLO: the single markdown document an implementing agent executes end to end. Use when someone proposes a model ("should we add X?", "can we port X?", "write a PRD for X", "what would it take to add…
Run the RF100-VL (Roboflow 100-VL) detection benchmark on LibreYOLO models end to end: dataset download with version locking, per-dataset fine-tuning, protocol-conformant pycocotools evaluation at maxDets 500, artifact publishing, and multi-GPU execution on…
Prepare and upload a LibreYOLO weight repo to the HuggingFace LibreYOLO org. Use when publishing new weights (new family, new size, or new task like -seg). Covers filename, README, LICENSE, NOTICE, and collection membership.
Cut a LibreYOLO version release end to end: evidence-backed changelog built by fan-out agents over the release..dev diff, a gate scoreboard (unit CI, GPU e2e on Modal reusing the nightly, weight autodownload probe, wheel smoke, notices sync, docs drift,…
Work on LibreYOLO's export subsystem: debug a failing export, fix an exported model that predicts differently from the .pt, extend a format's coverage to a new family/task, or add a new export format. Use when someone reports "export to X fails", "the…
Export LibreYOLO models for Hailo accelerators (Hailo-8/8L, Raspberry Pi AI Kit/AI HAT+). Use when a user asks to run LibreYOLO on Hailo, compile to HEF, or asks whether a given model family can be deployed on Hailo. Covers the "will it compile?"…
Port a model into LibreYOLO. Executable guide — finds your closest existing family to clone, gives paste-ready templates for the model class, conversion script, runtime auto-convert recognizer, and trainer subclass, then walks the port as a sequence of…
Launch LibreYOLO's end-to-end (e2e) test suite the right way — the heavy GPU tests under tests/e2e/ that load real weights, export to ONNX/TensorRT/OpenVINO/ ncnn/TorchScript/CoreML, train on real datasets, and check inference parity. Use whenever someone…