absolute-work

Guide AI developers through a phase-gated SDLC for coding projects.

207|31|Updated Mar 14, 2026

Search Tags:#project management #task management #verification #coding #sdlc

Ready to run

npx skills add https://github.com/maddhruv/absolute --skill absolute-work

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: absolute-work
Source: https://github.com/maddhruv/absolute/tree/main/skills/absolute-work
Command: npx skills add https://github.com/maddhruv/absolute --skill absolute-work

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the AI coding process by guiding users through a structured, phase-gated Software Development Lifecycle (SDLC).

Core Features & Use Cases

Phase-Gated Development: Ensures every stage of development is reviewed and approved before proceeding.
Intake & Brainstorm: Facilitates a thorough design interview to ensure a shared understanding before implementation.
Spec-Driven Development: Writes and reviews specifications to ensure clarity and completeness before coding.
Task Board Creation: Decomposes the spec into a task board with dependencies and safe waves for execution.
Onion-Peel Execution: Executes tasks sequentially and in waves, ensuring safety and parallelization where appropriate.
Verification & Convergence: Verifies the functionality and correctness of implemented tasks before finalizing the work.
Use Case: Ideal for complex features or projects where a structured approach is required to ensure quality and reliability.

Quick Start

Start the AI coding session with absolute-work "My new feature".

Frequently Asked Questions about absolute-work

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

FAQPage Schema

What is phase-gated SDLC for AI coding projects?▼

A phase-gated SDLC structures AI coding by requiring explicit user approval at each stage, from intake and specification to task execution and verification, ensuring a reliable development workflow.

How do I manage task decomposition and execution for complex coding features?▼

Decompose specifications into a task board with dependencies, then execute tasks sequentially and in safe waves using an onion-peel approach to ensure safe parallelization before final convergence.

Can I use this structured SDLC approach for any coding platform?▼

Yes, this approach supports multiple platforms and integrates with existing codebase conventions, making it ideal for complex features where a structured development process is required to ensure quality.

How do I start a spec-driven AI coding session?▼

Start the AI coding session by providing a feature name, which initiates an intake and brainstorm phase to write and review specifications before generating any code.

What is the best way to verify AI-generated code during development?▼

Use a verification and convergence phase that checks the functionality and correctness of implemented tasks before finalizing the work, ensuring the output meets the initial specifications.

Why does my AI coding project need a structured intake and brainstorm phase?▼

A structured intake phase facilitates a thorough design interview to ensure a shared understanding of requirements before implementation, preventing misalignment and errors during the coding process.