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deft

Load hierarchical SKILL.md files with YAML frontmatter for AI coding assistants.

Updated Jan 8, 2026
Search Tags:#framework#lazy loading#AI coding#taskfile#deft#rule precedence
One-click install
npx skills add https://github.com/sighthoundinc/hw-savings --skill deft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deft
Source: https://github.com/sighthoundinc/hw-savings/tree/main/deft
Command: npx skills add https://github.com/sighthoundinc/hw-savings --skill deft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deft provides a hierarchical, lazy-loading SKILL.md framework that guides AI coding assistants with rule precedence and modular scope to ensure consistent, high-quality output.

Core Features & Use Cases

  • Rule precedence: personal user rules override project and language standards to tailor AI behavior.
  • Lazy loading: loads only the relevant deft files for a task to minimize context and costs.
  • Task-centric workflow: uses Taskfile and defined commands for initialization, project setup, specification generation, and QA.
  • Quality standards: enforces TDD/SDD, ≥85% test coverage, and conventional commits.
  • Language support: applies to Python, Go, TS, C++, and more with language-specific guidelines.

Quick Start

Start a new deft-enabled project, configure user/project, generate SPECIFICATION.md, and use the task runner for development.

Frequently Asked Questions about deft

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

FAQPage Schema
How do I manage context limits and reduce costs when using AI coding assistants?▼

Lazy loading minimizes AI context usage by loading only relevant SKILL.md files for a specific coding task, reducing operational costs and preventing context overflow.

How does rule precedence work when configuring AI coding framework standards?▼

Rule precedence in this AI coding framework allows personal user rules to override project and language-specific standards, ensuring tailored AI behavior while maintaining baseline quality.

Can I use this hierarchical SKILL.md framework with Python, Go, and TypeScript projects?▼

Yes, the framework applies language-specific guidelines across Python, Go, TypeScript, and C++ projects, supporting task-centric workflows for initialization, specification generation, and QA.

What is the best way to enforce test coverage and conventional commits in AI-driven development?▼

Use a task-centric workflow with Taskfile to enforce TDD/SDD, ensure at least 85% test coverage, and mandate conventional commits for consistent, reproducible AI-driven development.

How do I start a new project with a lazy-loading AI coding framework?▼

Start a new project by configuring user and project settings, generate a SPECIFICATION.md file, and use the defined task runner commands for subsequent development and testing operations.

Why do I need YAML frontmatter in SKILL.md files for AI coding tasks?▼

YAML frontmatter in SKILL.md files enables hierarchical rule precedence and modular scope, allowing the AI assistant to parse and load operational context dynamically as needed.

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