mental models plugins

9 tagged mental models, measured the same way as everything else here.

thinking-partner

01

mattnowdev/thinking-partner

Plugin Claude Code

A deterministic thinking partner that challenges assumptions and applies 150+ mental models to sharpen decisions, solve problems, and think more clearly. Features orientation detection, cognitive operations framework, and structured diagnostic workflows.

186 5mo ago A tokens not measured original MIT

recursive-research

03

Anjos2/recursive-research

Plugin Claude Code

Recursive research up to PhD level across any domain (science, tech, business, arts, humanities). Source tiering, WDM + Munger inversion for autonomous decisions, disk checkpointing to survive context compaction.

41 4mo ago A tokens not measured original MIT

reflect

04

seldonframe/reflect

Plugin Claude Code

reflect — the decision loop that argues before it answers.

13 1mo ago A tokens not measured

reflect

05

seldonframe/reflect

Plugin Claude Code

Your AI argues before it answers. Five-step decision loop for builders — GATE, LOOK, RESHAPE, ATTACK, CARD — built from Bezos's letters, Musk's algorithm, and Farnam Street's mental models. No more "you're absolutely right!".

13 1mo ago A tokens not measured

modesofthinking

06

volkthienpreecha/modesofthinking

Plugin Claude Code

A portable reasoning toolkit for decisions, forecasts, red teams, experiments, and bounded agent councils.

3 1mo ago A tokens not measured original MIT

mental-model

08

code-with-rashid/mental-model

Plugin Claude Code

A Claude Code skill that builds a correct, source-grounded mental model of how code actually works — instead of a confident-sounding guess.

2 7d ago A tokens not measured original MIT

mental-model

09

code-with-rashid/mental-model

Plugin Claude Code

Explain a concept, feature, ticket, or implementation in plain language, grounded in verified source — separating how it works today from what it's meant to become, and flagging assumptions instead of guessing.

2 7d ago A tokens not measured original MIT