Does it support custom predicates?

Absolutely. You can define named constraints using any boolean function, which the skill then attempts to generalize and compose with existing logic.

How does this differ from standard type checking?

While standard types handle broad categories like 'Integer', constraint generalization handles specific proven properties like 'Even Positive Integer' that are maintained through code composition.

What is the benefit of using the 3-MATCH integration?

It uses an underlying SAT solver to ensure that when multiple constraints are combined, they are logically satisfiable and do not create a contradiction.

Can this skill help with performance optimization?

Yes, by generating proof certificates once, the system can skip redundant runtime checks for properties that have already been formally proven to hold.

Constraint Generalization & Refinement

Name: Constraint Generalization & Refinement
Author: plurigrid

byplurigrid

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セキュリティとテスト

Synthesizes and propagates formal constraints across composed data paths to enable automatic refinement typing and formal verification.

Constraint Generalization is an advanced logic skill designed to prevent the loss of critical data properties during complex functional compositions. By shifting from simple rejection-based validation to active constraint synthesis, it allows Claude to maintain a formal 'lattice' of proven properties—such as parity, range, or non-nullity—throughout a navigator's lifecycle. This skill leverages refinement types and SAT solvers (via 3-MATCH) to provide formal certificates of satisfiability, ensuring that composed navigation paths remain logically sound while eliminating redundant re-checking in downstream code.

主な機能

018 GitHub stars

02Automatic constraint extraction from compiled navigators

03Lattice-based generalization for abstracting specific data properties

04Refinement type generation for enhanced static analysis

05Formal proof certificate generation for constraint satisfiability

06SAT-based composition validation to prevent contradictory logic

ユースケース

01Formally verifying that composed system paths meet domain-specific safety requirements

02Eliminating redundant validation checks in high-performance logic systems

03Maintaining rigorous type safety in complex functional data pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi constraint-generalization

For use in Claude.ai and ChatGPT

Download Skill