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swe-programming-clojure

Enforce project-specific Clojure coding standards and naming conventions.

3|1|Updated Apr 18, 2026
Search Tags:#monorepo#code-quality#functional-programming#coding-standards#clojure#software-engineering#ai-agents
One-click install
npx skills add https://github.com/wahidyankf/ose-primer --skill swe-programming-clojure
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swe-programming-clojure
Source: https://github.com/wahidyankf/ose-primer/tree/main/.claude/skills/swe-programming-clojure
Command: npx skills add https://github.com/wahidyankf/ose-primer --skill swe-programming-clojure

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates inconsistent Clojure code quality and deviation from project-specific coding guidelines when AI agents generate Clojure code, ensuring all output aligns with established best practices for maintainability and readability.

Core Features & Use Cases

  • Comprehensive Standard Reference: Provides quick access to Clojure naming conventions, core idioms, error handling patterns, concurrency practices, and testing standards tailored to the project's requirements.
  • Authoritative Documentation Links: Connects to in-depth project-specific Clojure documentation for context-specific guidelines including functional programming, security, and API design.
  • Use Case: For teams building Clojure services in an OSE-style monorepo, this Skill ensures all AI-generated Clojure code follows consistent standards, reducing code review overhead and technical debt.

Quick Start

Use the swe-programming-clojure skill to generate a Clojure function that calculates Zakat while adhering to the project's naming conventions and pure function best practices.

Frequently Asked Questions about swe-programming-clojure

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

FAQPage Schema
How do I ensure AI-generated Clojure code follows functional programming best practices?▼

To ensure AI-generated Clojure code follows functional programming best practices, apply standardized coding conventions for pure functions, naming, and domain modeling. This enforces consistency and maintainability across AI-assisted development tasks.

What are standard Clojure coding conventions for error handling and concurrency in a monorepo?▼

Standard Clojure coding conventions for error handling and concurrency in a monorepo involve applying project-specific idioms and patterns. This ensures consistent code quality and alignment with authoritative functional programming documentation.

Can I use this approach to standardize Clojure test authoring for AI agents?▼

Yes, you can use this approach to standardize Clojure test authoring for AI agents. It provides specific testing standards and guidelines to ensure AI-generated tests align with project-specific requirements and maintain high code quality.

How do I reduce code review overhead for Clojure services in an OSE-style polyglot monorepo?▼

Reduce code review overhead for Clojure services in an OSE-style polyglot monorepo by enforcing AI-generated code adherence to established coding standards. This eliminates inconsistent code quality and reduces accumulated technical debt.

What is the best way to align AI-generated Clojure code with project-specific naming conventions?▼

The best way to align AI-generated Clojure code with project-specific naming conventions is to reference authoritative project documentation during generation. This ensures all functional implementations and domain models satisfy established standards.

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