analog-circuit-skills
SkillCommunity
Five ngspice-based skills for CMOS analog blocks, from LDO to op amp, using bundled PTM models and Python result extraction. By Arcadia-1.
15 starsUpdated 5 months agoGitHub data from 5 Nov 2026
At a glance
- Type
- Skill
- Works with
- ngspice
- Tool versions
- ngspice (version not stated); PTM 180 nm, 45 nm and 22 nm models
- Operating systems
- Not stated in its documentation
- Needs a ngspice licence
- No
- AI clients documented
- Not stated in its documentation
- Licence
- MIT
- Language
- Python
What it can do
- Covers a StrongArm comparator, a bootstrapped sampling switch, an LDO, a five-transistor OTA and a Miller-compensated two-stage op amp.
- Each module goes from topology to netlist, ngspice run, metric extraction and plots.
- Extracts figures such as phase margin, PSRR, input-referred noise and pole-zero locations.
Limitations
- Teaching-scale circuits on predictive (PTM) models, not a foundry PDK.
- The README gives no install steps and GitHub detects no licence file; MIT is shown in the README badge.
Install
The README gives no install steps; each skill is a folder (comparator, bootstrap_switch, LDO, five_transistor_ota, two_stage_opamp) in the repository and needs ngspice and Python.MCP servers and skills run code on your computer. Review the source before installing.
AI-generated models, drawings and results must be checked by a qualified engineer before use.