go_2.0

Execute the next queued task from tasks.json through verification, simplification, seven-pass review, and PR artifact generation.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/EndUser123/sdlc --skill go-2-0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go_2.0
Source: https://github.com/EndUser123/sdlc/tree/main/skills/go_2.0
Command: npx skills add https://github.com/EndUser123/sdlc --skill go-2-0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jsonschema, and includes scripts (resource) components.

What problem does it solve?

This skill enables you to progress through a backlog by automatically selecting and completing the next queued task from tasks.json, driving it through verification, simplification, seven-pass review, and local PR artifact generation.

Core Features & Use Cases

  • Single-task end-to-end run: selects exactly one ready/queued task and executes it through the full workflow.
  • End-to-end governance: handles verification, code simplification decisions, seven-pass review, and local PR artefacts generation.
  • Use Case: ideal for teams aiming to steadily reduce backlog by deterministically processing the next item to PR-ready status.

Quick Start

Pull the next item from the backlog and push it toward PR readiness in a single flow.

Frequently Asked Questions about go_2.0

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

FAQPage Schema
How do I automate processing the next queued task from a backlog to PR-ready?

You can automate processing the next queued task by using this skill to pull one ready task from tasks.json and drive it end-to-end through verification, simplification, seven-pass review, and local PR artifact generation.

What does a seven-pass review involve for backlog task automation?

Seven-pass review in this backlog automation context is a built-in governance step that rigorously evaluates code quality and simplification decisions before generating local PR artifacts for the completed task.

How do I set up tasks.json for automated backlog verification and review?

You must format your backlog items into a tasks.json file containing queued task objects, which the skill parses to select exactly one ready item for end-to-end execution, verification, and artifact generation.

Does this task queue automation tool require any specific dependencies?

Yes, this task queue automation skill requires the jsonschema dependency to validate task structures and ensure correct data formatting during the automated task selection and execution workflow.

What is the best way to steadily reduce a development backlog automatically?

The best way to steadily reduce a development backlog automatically is to deterministically process one ready task at a time, moving items to PR-ready status through structured verification, simplification, and seven-pass review.

Can I generate local PR artifacts automatically after completing a backlog task?

Yes, you can generate local PR artifacts automatically; the skill creates these local artifacts as the final step after driving a queued task through verification, simplification, and seven-pass review.