Instructions for ShenShan123/r2g-skills, covering agent-with-openroad — project guide, project layout, skill deployment (must be a symlink, not a copy), toolchain (autodetected by the skill) and hard rules (skill-level).
Convert clean, signed-off physical-design files (DEF/LEF/liberty/SPEF from an ORFS backend run) into training-ready PyTorch-Geometric graph datasets. Use when the user wants to build a graph dataset from placed-and-routed designs — the five graph views (b–f), the tech-lib/LEF/DEF parser, node/edge feature extraction…
Detect a machine's environment and install + verify the open-source EDA toolchain that the signoff-loop and def-graph skills need — OpenROAD-flow-scripts (openroad/yosys), iverilog, KLayout, Magic, Netgen, OpenSTA, the sky130A PDK, and the torch+torchgeometric graph venv. Use when setting up a new machine, when…
Discover, screen, and acquire RTL at corpus scale (local trees, repo manifests, keyword search) and expand it — synthesis-only, MANY designs per round — into pre-layout netlistgraph.pt PyG graphs with dedup, quality scoring, and publish gating. Use for growing a training corpus of netlist graphs from found RTL. NOT…
Drive an open-source EDA workflow from RTL to GDS with full signoff (DRC, LVS, RCX) using OpenROAD-flow-scripts (ORFS), Yosys, KLayout, Magic, Netgen, and OpenRCX — plus a self-improving observation→ingest→act loop that learns repair recipes to eliminate DRC/LVS violations and close timing at the best Fmax. Use when…