gmoverid

gmoverid is a Physics, mathematics & simulation skill for AI agents, published by Arcadia-1 in the gmoverid-skill repository on GitHub. Skillspace rates gmoverid B (81/100) and it passed the safety scan; the rating is based on static analysis only.

gm/ID transistor characterization and design methodology, based on ngspice + Python. Two independent workflows: (1) Characterization — generates three standard curve sets for any MOSFET model: gate capacitance (Cgg/Cgs/Cgd/Cgb vs Vgs), gm/ID four-quadrant characteristics (gm/Id vs Vov, Id/W vs gm/Id, fT vs gm/Id, gm·ro vs gm/Id), and IV characteristics (linear/log Id vs Vov, output curves). Supports 180 nm single-node and 45/22 nm HP multi-node flows with built-in PTM model files (180/45/22 nm) — no extra downloads required. (2) Design — the GmIdTable class builds a lookup table from simulation data (cached to logs/cache/) and provides lookup(), size(), size_from_ft(), size_from_gmro() APIs for NMOS/PMOS transistor sizing using the gm/ID methodology. Only depends on the ngspice skill. Use this skill when setting up or extending a gm/ID characterization project, generating characteristic curves, interpreting design curves, or sizing transistors by the gm/ID method.

Grade

B

Quality

81 / 100

Safety

Passed

GitHub stars

115

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.