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mega

zpankz/mcp-skillset

Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation.

5Installs·0Trend·@zpankz

Installation

$npx skills add https://github.com/zpankz/mcp-skillset --skill mega

SKILL.md

| Full endowment specs | references/endowments.md | Detailed component behavior | | λ-operations | references/operations.md | Composition algebra | | Validation details | references/validation.md | Invariant enforcement | | Skill integration | references/integration.md | Cross-skill composition |

Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation. Source: zpankz/mcp-skillset.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/zpankz/mcp-skillset --skill mega Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/zpankz/mcp-skillset --skill mega
Category
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Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is mega?

Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation. Source: zpankz/mcp-skillset.

How do I install mega?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/zpankz/mcp-skillset --skill mega Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/zpankz/mcp-skillset