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Agentic Coding

Automates contract-driven AI coding workflows with explicit acceptance criteria and traceable handoffs.

Updated Apr 1, 2026
Search Tags:#automation#ai#memory#coding#handoff#contracts#pact
One-click install
npx skills add https://github.com/dz07/goku-skills --skill agentic-coding-dz07
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Agentic Coding
Source: https://github.com/dz07/goku-skills/tree/main/skills/agentic-coding
Command: npx skills add https://github.com/dz07/goku-skills --skill agentic-coding-dz07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams deliver reliable production-grade code by enforcing contract-driven execution, deterministic handoffs, and traceable changes using AI agents.

Core Features & Use Cases

  • PACT-driven workflow for safe, incremental delivery
  • Memory, contracts, evidence, and handoffs to structure AI coding projects
  • Optional references and assets to support on-demand knowledge

Quick Start

Ask the agent to initialize agentic-coding for your repository, outline a contract, and prepare a handoff-ready patch.

Frequently Asked Questions about Agentic Coding

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

FAQPage Schema
How do I automate AI coding workflows to ensure reviewer-ready production code?▼

Initialize agentic-coding in your repository, outline a contract with explicit acceptance criteria, and let the agent execute the PACT loop to prepare a reviewer-ready, handoff-ready patch with traceable evidence.

What is contract-driven AI coding and when do I need it for software projects?▼

Contract-driven AI coding is a workflow enforcing deterministic execution through memory templates, evidence, and structured handoffs. You need it for production features, bug fixes, or refactors requiring strict validation and traceable outcomes.

Can I use this AI coding workflow for both bug fixes and large refactors?▼

Yes, this AI coding workflow applies to production-feature work, bug fixes, and refactors across software projects, enforcing explicit acceptance criteria and generating traceable handoff artifacts for safe, incremental delivery.

How do I structure AI coding projects for safe incremental delivery?▼

Structure AI coding projects using a PACT loop that defines memory, contracts, evidence, and handoffs, ensuring safe, incremental delivery of production-grade code with strict validation and traceable changes.

How do I generate traceable handoff artifacts for AI-assisted code changes?▼

Generate traceable handoff artifacts by executing the PACT loop, which captures memory templates and evidence to deliver deterministic handoffs for AI-assisted code changes with strict validation.

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