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chronista-style

Manage the Chronista development lifecycle with persistent memory and living documentation.

Updated Dec 20, 2025
Search Tags:#development workflow#ai development#infrastructure#living documentation#persistent memory#chronista
One-click install
npx skills add https://github.com/chronista-club/claude-plugin-chronista-style --skill chronista-style
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chronista-style
Source: https://github.com/chronista-club/claude-plugin-chronista-style/tree/main/chronista-style
Command: npx skills add https://github.com/chronista-club/claude-plugin-chronista-style --skill chronista-style

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for AI-driven development, integrating memory, workflow, documentation, and infrastructure management to streamline the Chronista development process.

Core Features & Use Cases

  • Unified Development Workflow: Manages the entire development lifecycle from discovery to learning, emphasizing a "hearing-first" approach.
  • Living Documentation: Ensures code and documentation stay synchronized using the Spec-Design-Guide (SDG) principles.
  • Persistent Memory: Leverages creo-memories for crucial decision logging and retrieval, ensuring continuity and knowledge retention.
  • Use Case: When starting a new feature development, this Skill guides the process from initial requirements gathering and design documentation to implementation and post-development learning, ensuring all steps are logged and accessible.

Quick Start

Initiate a new feature development session using the chronista-style skill.

Frequently Asked Questions about chronista-style

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

FAQPage Schema
How do I maintain persistent memory for AI development workflows across sessions?▼

Persistent memory in AI development workflows is maintained by integrating with `creo-memories` for crucial decision logging and retrieval, ensuring continuity and knowledge retention across development sessions.

What is living documentation and how does it synchronize with code in AI infrastructure?▼

Living documentation synchronizes with code by applying Spec-Design-Guide (SDG) principles, ensuring that design and documentation remain aligned and up-to-date throughout the development lifecycle.

How do I start a new feature development session using the Chronista workflow?▼

To start a new feature development session, initiate the Chronista workflow which guides you from initial requirements gathering and design documentation to implementation and post-development learning.

Does the AI development toolkit support container orchestration for infrastructure management?▼

Yes, the AI development toolkit supports container orchestration for infrastructure management via `fleetflow`, allowing you to manage containerized environments within the development workflow.

Can I use mise for development environment setup within this integrated AI toolkit?▼

Yes, you can use `mise` for development environment setup, which is supported by the integrated AI development toolkit to configure and manage your project's infrastructure dependencies.

What is the best way to log crucial decisions during the AI-driven development lifecycle?▼

The best way to log crucial decisions during the AI-driven development lifecycle is by leveraging the integrated `creo-memories` system, which enforces a hearing-first approach and captures decisions for future retrieval.

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