analog-sizing

analog-sizing is a skill for Claude Code from vibeic/vibe-ic. It costs 62 tokens per session (1,625 once invoked), scanned A, original, Apache-2.0.

A guide for choosing transistor dimensions and bias currents in an analog circuit so it meets targets such as gain, bandwidth, noise, power, and area. Transistor sizing means selecting the device dimensions and operating currents.

In plain words
What is it for?
Use it for blocks such as op-amps, LDOs, bandgaps, comparators, and PLL charge pumps when you have a schematic or netlist and performance requirements.
Why use it?
It turns circuit specifications into a practical starting point for simulation and optimization. This reduces the guesswork involved in deciding operating regions, current levels, and device ratios.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 plugins/vibe-ic/programs/pdk_analog_device_params.py --pdk <family>.

Part of the vibe-ic plugin — 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server shipped together

Good fit Use it for blocks such as op-amps, LDOs, bandgaps, comparators, and PLL charge pumps when you have a schematic or netlist and performance requirements.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/vibeic/vibe-ic
agentmods
npx agentmods add skills/vibeic/vibe-ic/analog-sizing

Made for: Claude Code.

Or install vibe-ic, the plugin that ships this one along with the rest of its 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analog-sizing

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeic/vibe-ic/analog-sizing/github.svg)](https://agentmods.dev/skills/vibeic/vibe-ic/analog-sizing)
Your own site
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/analog-sizing"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/analog-sizing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analog-sizing

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/analog-sizing"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/analog-sizing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,625 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01625
Opus 5 $0.00031 $0.00813
Sonnet 5 $0.00012 $0.00325
Haiku 4.5 $0.00006 $0.00162

Measured 5d ago against content hash 3f20c229c71f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

analog-sizing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_compliance.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

vibe-ic-marketplace/plugins/vibe-ic/skills/analog-sizing/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analog Sizing

Given an analog topology (schematic or netlist) and a performance spec (gain, UGB, phase margin, noise, power, area), propose transistor W/L sizes and bias currents that meet the spec. Acts as the LLM copilot layer over classical analog sizing tools and SPICE.

When to use

Trigger when the user:

  • Has a schematic (op-amp, LDO, bandgap, comparator, PLL CP) and needs sizes
  • Wants to explore a design space before running SPICE sweeps
  • Asks for gm/Id-based sizing intuition
  • Needs a starting point for an optimizer

Inputs to gather

  1. Topology (schematic, netlist, or textual description)
  2. Process and models (e.g., TSMC 180nm, 65nm, FinFET node)
  3. Spec table: gain (dB), UGB (Hz), PM (°), noise, power budget, supply, load
  4. Starting point or "greenfield"
  5. Constraint: minimize power, minimize area, or balanced

The process constants are MEASURED, not re-derived here (vibe-ic#1962)

Do not derive k', the threshold, the resistor sheet or the MiM density by hand, and do not quote them from memory. They are a deterministic measurement of the target PDK's own models, taken once and published with their provenance:

# read what has already been measured for the target family
python3 plugins/vibe-ic/programs/pdk_analog_device_params.py --pdk <family>

# measure (or refresh) a family that carries no record yet
python3 plugins/vibe-ic/programs/pdk_analog_characterize.py \
    --pdk <family> --container vibeic-eda --corners typ,slow,fast

The record lives under each PDK entry's analog_device_params.measured in programs/pdk_registry.json — or, for a PDK STAGED INTO the design (which may not be publishable), under analog/_pdk_char/analog_device_params.json in the project, which outranks the shipped record. What it gives you, per corner:

constant what it is
k_prime_n_ua_per_v2 / k_prime_p_ua_per_v2 µ·Cox, from a two-point square-law fit in saturation
vth_n_extracted_v / vth_p_extracted_v the threshold THAT fit implies, which is not the model card's Vth0
vgs_at_id_n_v / vgs_at_id_p_v the gate drive a stated current buys in a stated geometry — the bias-chain handle
rsheet_ohm_per_sq, r_end_ohm, r_per_um_ohm the resistor sheet, and the end/contact term a single-device measurement hides in it
cap_area_ff_per_um2, cap_perim_ff_per_um the capacitance density, and the fringe a single-plate measurement hides in it

Read the full file on GitHub · 138 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +45 lines 3f20c229c71f
  2. 9d ago First seen · 93 lines · 62 tokens per session scan A cd8b1570b693

Subscribe to this mod's changes

analog-sizing is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 1,625 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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