specdo-lifecycle

Defines a machine-readable workflow for tracking artifacts from brainstorming to archive.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/MoonCoder-HAPPY/SpecDo --skill specdo-lifecycle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: specdo-lifecycle
Source: https://github.com/MoonCoder-HAPPY/SpecDo/tree/main/specdo-lifecycle
Command: npx skills add https://github.com/MoonCoder-HAPPY/SpecDo --skill specdo-lifecycle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

SpecDo lifecycle management standardizes how AI-driven changes move from brainstorming to archive, ensuring each step produces machine-verifiable artifacts and consistent handoffs.

Core Features & Use Cases

  • Canonical lifecycle contract shared across skills to route outputs and verification through the pipeline.
  • Reference artifacts and wrapper routing rules to unify how tasks are executed and verified.
  • Use Case: When a delta spec is proposed, the lifecycle ensures every stage defines clear acceptance criteria and verifiable artifacts.

Quick Start

Install SpecDo and load a lifecycle skill to observe the canonical contract in action.

Frequently Asked Questions about specdo-lifecycle

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

FAQPage Schema
How do I enforce a canonical lifecycle contract for AI-driven software engineering workflows?

A canonical lifecycle contract standardizes AI-driven changes from brainstorming to archive by providing wrapper routing, evidence gates, and machine-readable handoff schemas to ensure traceable, verifiable artifacts. It unifies task execution and verification across the entire pipeline.

What are evidence gates in a software engineering lifecycle workflow?

Evidence gates are verification checkpoints within the lifecycle contract that ensure each stage produces machine-verifiable artifacts before handoff. They enforce clear acceptance criteria for delta specs, guaranteeing traceable and consistent outputs across the workflow.

How do I standardize outputs and artifact references across multiple lifecycle skills?

You standardize outputs by sharing a canonical lifecycle contract across skills to route outputs and verification through the pipeline. This contract provides wrapper routing rules and reference artifacts to unify task execution and artifact handoffs.

Does the SpecDo lifecycle contract require integration with specific scripts or assets?

Yes, the lifecycle contract requires careful integration with scripts, reference materials, and assets as part of the skill bundle. This integration ensures wrapper routing and evidence gates function correctly to produce verifiable changes.

When do I need a machine-readable workflow contract for software changes?

You need a machine-readable workflow contract when proposing delta specs to guarantee every stage defines clear acceptance criteria and produces verifiable artifacts. This ensures traceable changes from brainstorming to archive across the engineering lifecycle.

What is the best way to automate verification and handoffs across the engineering lifecycle?

The best way to automate verification and handoffs is implementing a canonical lifecycle contract with wrapper routing and evidence gates. This approach provides machine-readable schemas that standardize artifact references and ensure traceable changes across all stages.