loki-mode

Automate PRD-to-production startup development with 100+ agents.

4|1|Updated Apr 4, 2024
One-click install
npx skills add https://github.com/maraxen/praxis --skill loki-mode-maraxen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: loki-mode
Source: https://github.com/maraxen/praxis/tree/main/.agent/skills/loki-mode
Command: npx skills add https://github.com/maraxen/praxis --skill loki-mode-maraxen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, git, python3, claude, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Loki Mode automates turning a PRD into a production-ready startup by orchestrating 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success to execute end-to-end product development with zero human intervention.

Core Features & Use Cases

  • End-to-end automation: PRD to deployed product with testing, deployment, and monitoring.
  • Massive parallelism: Scales from a handful of tasks to 100+ agents across multiple swarms.
  • Self-verification and resilience: RARV cycle, memory hierarchies, checkpoints, and auto-resume with circuit breakers.
  • Cloud deployment & ops coverage: automated deployment to major cloud platforms, blue/green and canary strategies, observability.

Quick Start

Start Loki Mode with a PRD path: Loki Mode with PRD at path/to/prd.md

Frequently Asked Questions about loki-mode

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

FAQPage Schema
How do I automate PRD-to-production deployment using multi-agent orchestration?

Multi-agent orchestration automates PRD-to-production by deploying 100+ specialized agents that handle engineering, QA, and DevOps end-to-end with zero human intervention. It scales from simple tasks to complex swarms with self-verification and auto-resume.

Can I scale multi-agent orchestration for a full startup build across different departments?

Multi-agent orchestration scales to 100+ agents across engineering, operations, data, product, and growth swarms. It provides guardrails, memory hierarchies, and queueing to manage massive parallelism for full startup builds.

Does multi-agent orchestration support automated deployment strategies like blue/green or canary releases?

Automated deployment supports major cloud platforms using blue/green and canary strategies. Multi-agent orchestration includes observability features and risk management to satisfy continuous improvement requirements in open cloud environments.

How does multi-agent orchestration handle task failures and maintain resilience?

Multi-agent orchestration maintains resilience through a RARV cycle, memory hierarchies, and checkpoints with auto-resume capabilities. It uses circuit breakers to manage failures and operate with zero human intervention during complex workflows.

Do I need Python and Git to run multi-agent orchestration for automated product development?

Multi-agent orchestration requires bash, git, python3, and claude as dependencies to execute automated product development. You provide a PRD file path to start the orchestration process, which handles subsequent build and deployment steps.

What's the best way to start multi-agent orchestration from a product requirements document?

To start multi-agent orchestration, provide a PRD file path to the system. It then automatically translates the document into a production-ready product by orchestrating specialized agents for testing, deployment, and monitoring.