multi-stage-programming

Name: multi-stage-programming
Availability: InStock
Author: rainoftime

Generate and compile code across multiple compilation or runtime stages.

17|2|Updated Feb 16, 2026

Search Tags:#code generation #staging #metaprogramming #DSL #partial evaluation #compiler construction

Ready to run

npx skills add https://github.com/rainoftime/pl-skills --skill multi-stage-programming

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-stage-programming
Source: https://github.com/rainoftime/pl-skills/tree/main/multi-stage-programming
Command: npx skills add https://github.com/rainoftime/pl-skills --skill multi-stage-programming

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles the complexity of generating code at compile-time or runtime, enabling advanced metaprogramming and performance optimizations through staged computation.

Core Features & Use Cases

Program Generation: Create code dynamically based on input or context.
Runtime Code Generation: Compile and execute code during program execution.
Staged Computation: Optimize performance by separating static and dynamic parts of computation.
Use Case: Implement a domain-specific language (DSL) that compiles to highly optimized native code for specific inputs, or build a Just-In-Time (JIT) compiler for an interpreter.

Quick Start

Use the multi-stage-programming skill to generate optimized code for a given program structure.

Frequently Asked Questions about multi-stage-programming

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does multi-stage programming improve runtime code generation?▼

Multi-stage programming improves runtime code generation by separating static and dynamic computation phases. Through staging annotations and binding-time analysis, it pre-computes static code segments early, enabling optimized runtime compilation and execution for performance-critical applications.

What is binding-time analysis in staged computation?▼

Binding-time analysis in staged computation classifies program expressions into static and dynamic stages. This separation allows the compiler to execute static computations during initial stages, generating specialized residual code for dynamic execution to optimize overall performance.

How do I build a DSL compiler with staging annotations?▼

You build a DSL compiler with staging annotations by marking code fragments for execution at specific compilation or runtime stages. This enables cross-stage persistence, allowing your DSL to dynamically generate and compile highly optimized native code for specific inputs.

Can I use staged computation to implement a JIT compiler for an interpreter?▼

Yes, you can use staged computation to implement a JIT compiler for an interpreter. By applying multi-stage programming techniques, you dynamically generate and compile optimized native code during program execution, significantly accelerating interpreter performance.

What is cross-stage persistence in metaprogramming?▼

Cross-stage persistence in metaprogramming allows values computed in an earlier stage to be accessed and utilized in later compilation stages. This mechanism maintains variable bindings across stages, ensuring generated code correctly references previously computed static data.

When should I use multi-stage programming instead of standard metaprogramming?▼

Use multi-stage programming instead of standard metaprogramming when you need strict stage separation for performance-critical applications. It provides binding-time analysis and cross-stage persistence, ensuring safe, optimized code generation for complex DSLs and generative testing frameworks.