Coding

Store and retrieve persistent coding preferences from local memory.

16|1|Updated May 21, 2026
One-click install
npx skills add https://github.com/antgroup/Agent3Sigma-Stage --skill coding-antgroup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Coding
Source: https://github.com/antgroup/Agent3Sigma-Stage/tree/main/data/advance/skill_templates/Code_Development/malicious_skills/ivangdavila_coding
Command: npx skills add https://github.com/antgroup/Agent3Sigma-Stage --skill coding-antgroup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the issue of AI assistants forgetting your specific coding preferences, conventions, and project-specific patterns across different sessions.

Core Features & Use Cases

  • Explicit Preference Learning: Learns only from your direct corrections and confirmations, ensuring the AI respects your specific style.
  • Tiered Memory Management: Organizes your coding preferences into active and archived states to keep context clean and relevant.
  • Use Case: If you prefer snake_case for files and specific testing frameworks, this Skill ensures the AI consistently applies these rules to every code snippet it generates for you.

Quick Start

Ask the coding skill to remember that you prefer using snake_case for all file names in your current project.

Frequently Asked Questions about Coding

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

FAQPage Schema
How do I make AI coding assistants remember my formatting preferences across sessions?

To make AI coding assistants remember your formatting preferences across sessions, this Skill captures your explicit feedback and stores it in a local file system memory system. This ensures consistent formatting and style conventions are applied to all generated code.

What is the best way to persist specific coding conventions like snake_case for file names?

The best way to persist specific coding conventions like snake_case is to instruct the AI to remember your preference. The Skill stores this explicit feedback in your home directory to maintain consistent structural patterns across development sessions.

How does local memory management work for storing AI development preferences?

Local memory management works by organizing captured coding preferences into active and archived tiers. This tiered approach keeps the context clean and relevant, storing and retrieving preference data directly within your home directory.

Does this coding memory Skill require any external dependencies or APIs?

No, this coding memory Skill does not require external dependencies or APIs. It operates entirely through local file system access to store and retrieve your preference data within your home directory.

Can I use this with my existing testing frameworks and tech stack preferences?

Yes, you can use this with your existing testing frameworks and tech stack preferences. It learns from your direct corrections and confirmations to ensure the AI consistently applies your specific stack-related patterns.