pingdior/lisp-core-syntax
lisp-core-syntax/SKILL.md
--- name: lisp-core-syntax description: Lisp/Scheme core syntax for prompt DSL and meta-programming. Use when writing Lisp-style prompts, defining DSLs, or understanding prompt structure. Trigger phrases: "Lisp语法", "Scheme", "括号语法", "元编程" metadata: author: [email protected] version: 1.0.0 --- # Lisp Core Syntax ## Overview Lisp (Scheme dialect) syntax for defining prompt structures and DSLs. Uses parentheses, prefix notation, symbols, lists. ## Core Syntax ### 1. Parentheses - `(functi
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skillsauthnpx skillsauth add pingdior/usingskills lisp-core-syntaxInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- lisp-core-syntax
- description:
- Lisp/Scheme core syntax for prompt DSL and meta-programming. Use when writing Lisp-style prompts, defining DSLs, or understanding prompt structure. Trigger phrases: "Lisp语法", "Scheme", "括号语法", "元编程
- author:
- [email protected]
- version:
- 1.0.0
Lisp Core Syntax
Overview
Lisp (Scheme dialect) syntax for defining prompt structures and DSLs. Uses parentheses, prefix notation, symbols, lists.
Core Syntax
1. Parentheses
(function arg1 arg2)- first element is function/operator, rest are arguments
2. Prefix Notation
(+ 1 2)not1 + 2
3. Symbols
- Variables, function names:
define,let,invoke
4. Lists
- Core data structure, code and data:
(1 2 3)
5. Quote
'prevents evaluation:'(1 2 3)is data not code
6. let
- Local variables:
(let ((x 1) (y 2)) (+ x y))
7. define
- Define variable or function:
(define (add x y) (+ x y))
8. Conditionals
if,cond:(if (> x 0) 'positive 'negative)
9. Lambda
- Anonymous functions:
(lambda (x) (+ x 1))
Key Features
- Homoiconicity: Code and data same structure, enables meta-programming
- Dynamic typing
- Macros: Extend language, create new syntax
- Comments:
;;for single line
Usage in Prompts
Lisp syntax used for structured prompt definitions: (define story-prompt '(...)), (let ((context "...")) ...), keyword args :mood "...", nested lists for sequences.
Usage Example
User input: "这段Lisp风格的提示词是什么意思？" AI action: Parses parentheses, explains define/let/lambda, translates to plain language Expected result: Clear explanation of Lisp-style prompt structure
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