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Matematico Tao

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Analyze code complexity, dependency graphs, concurrency and invariants using explicit mathematical assumptions. Use for algorithm or architecture reviews; bundled Kotlin scanners produce advisory estimates, not formal proofs.

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  • Added November 7, 2026
ai-agentsgokotlintesting

Works with

  • cursor
  • cli

Security analysis

A100/100

Pro scans all 8 files and shows the line behind each finding

Scanned November 7, 2026

npx -y skills add huytran1120/vietnam-agentic-skills --skill matematico-tao --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: matematico-tao
description: "Analyze code complexity, dependency graphs, concurrency and invariants using explicit mathematical assumptions. Use for algorithm or architecture reviews; bundled Kotlin scanners produce advisory estimates, not formal proofs."
risk: safe
source: community
date_added: '2026-03-06'
author: renat
tags:
- mathematics
- code-analysis
- algorithms
- formal-methods
tools:
- claude-code
- antigravity
- cursor
- gemini-cli
- codex-cli
---

# Mathematical Code and Architecture Review

## Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

## When to Use This Skill

- Analyze a concrete algorithm’s time/space complexity and boundary cases.
- Review dependency cycles, state transitions, concurrent access or stated invariants.
- Use mathematical models to test a specific code hypothesis with explicit assumptions.

## Do Not Use This Skill When

- The task is unrelated to matematico tao
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

## Example

Review a local Kotlin pipeline for cancellation leaks. Map the actual states and resource owners, build a synthetic failing schedule, and distinguish measured evidence from assumptions before proposing a fix.

## Tool and evidence boundary

The scripts read authorized local Kotlin files and optionally write reports inside the workspace; they never prove complete code coverage or execute target source. Use an isolated output path and preserve existing files. Regex scores and Auri-specific package mappings are advisory. Do not infer authorization to access the original author’s filesystem, publish reports, modify source or run network operations. No claim of endorsement, credentials or equivalence to any named mathematician is made.

Files in this skill

  • SKILL.md2.3 KB
  • references/auri-analysis.md7.5 KB
  • references/complexity-patterns.md8.9 KB
  • references/concurrency-models.md8.7 KB
  • references/detailed-guide.md7.7 KB
  • references/information-theory.md3.3 KB
  • scripts/complexity_analyzer.py21.8 KB
  • scripts/dependency_graph.py21.8 KB

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