r2g-skills

In the author's own words, from each skill's SKILL.md.

• def-graph

  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, or per-cell/per-net labels (congestion, RC parasitics, wirelength, timing, IR dr…

  r2g-skills/def-graph/SKILL.md on GitHub (opens in a new tab)

• eda-install

  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+torch_geometric graph venv. Use when setting up a new machine, when `check_env.sh` reports missing tools, when the user asks to install/bootstrap/provisi…

  r2g-skills/eda-install/SKILL.md on GitHub (opens in a new tab)

• rtl-acquire

  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 netlist_graph.pt PyG graphs with dedup, quality scoring, and publish gating. Use for growing a training corpus of netlist graphs from found RTL. NOT for taking one design to GDS/signoff (that is signoff-loop) and NOT for post-layo…

  r2g-skills/rtl-acquire/SKILL.md on GitHub (opens in a new tab)

• signoff-loop

  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 the user wants to turn a hardware spec or RTL into synthesis, place-and-route, GD…

  r2g-skills/signoff-loop/SKILL.md on GitHub (opens in a new tab)

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