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payload

Automates software delivery by orchestrating AI agents across spec, plan, implementation, and review stages.

3|Updated Jun 12, 2026
Search Tags:#AI agents#issue tracker#software delivery#software lifecycle#codeless
One-click install
npx skills add https://github.com/whimzyLive/nightshift-ai --skill payload-whimzylive
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: payload
Source: https://github.com/whimzyLive/nightshift-ai/tree/main/.agents/skills/payload
Command: npx skills add https://github.com/whimzyLive/nightshift-ai --skill payload-whimzylive

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

nightshift automates the complex process of software delivery, saving you time and reducing errors by providing a dedicated AI team for each stage of the software lifecycle.

Core Features & Use Cases

  • Software Delivery Team: 11 specialized AI agents for each role (Product Manager, Architect, Tech Lead, Engineers, QA).
  • Slash Commands: 10 commands for the entire software delivery lifecycle: /spec, /plan, /impl, /review, /auto.
  • Issue Tracker Integration: Directly integrates with issue trackers like Jira and GitHub for seamless workflow.
  • Zero Coding: No code generation, focuses on automating the software delivery process, not the coding itself.
  • Use Case: With nightshift, a single Jira ticket can be automatically transformed into a complete software delivery process, including specs, plans, implementation, and review.

Quick Start

To install nightshift, run:

/plugin marketplace add whimzyLive/nightshift-ai
/plugin install sdlc@nightshift

Frequently Asked Questions about payload

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

FAQPage Schema
How do I automate the software delivery lifecycle from an issue tracker ticket?▼

You can automate software delivery by orchestrating AI agents across spec, plan, implementation, review, and PR stages. This transforms a single Jira or GitHub ticket into a complete delivery process without manual coding.

Can I use AI agents to generate software specs and plans without writing code?▼

Yes, AI agents can generate software specs and plans without writing code. The process focuses on automating the software delivery lifecycle and orchestration rather than actual code generation.

What slash commands are used to manage the software delivery process?▼

The software delivery process uses slash commands including /spec, /plan, /impl, /review, and /auto. These commands trigger specialized AI agents to handle each stage of the lifecycle.

Does the software delivery automation integrate with Jira and GitHub issue trackers?▼

Yes, the software delivery automation integrates directly with issue trackers like Jira and GitHub. This allows tickets to seamlessly trigger the automated spec, plan, implementation, and review lifecycle.

What roles do the AI agents play in the software delivery team?▼

The AI agents act as a specialized software delivery team comprising 11 roles. These include Product Manager, Architect, Tech Lead, Engineers, and QA to handle each lifecycle stage.

Is codeless software delivery suitable for automating a single Jira ticket workflow?▼

Codeless software delivery is suitable for automating a single Jira ticket workflow. It transforms the ticket into a complete delivery process including specs, plans, implementation, and review automatically.

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