lfg

Orchestrate engineering workflows from planning through verification with auditable artifacts.

Updated Mar 12, 2026

Search Tags:#automation #planning #review #execution #artifact #gate #engineering-workflow

Ready to run

npx skills add https://github.com/datorresb/discovery-event-platform --skill lfg-datorresb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lfg
Source: https://github.com/datorresb/discovery-event-platform/tree/main/.github/skills/lfg
Command: npx skills add https://github.com/datorresb/discovery-event-platform --skill lfg-datorresb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multi-step engineering projects is error-prone and time-consuming without a cohesive automation plan. This Skill provides a self-contained, end-to-end workflow that orchestrates planning, deepening plans, execution, reviews, and final verification with auditable artifacts.

Core Features & Use Cases

End-to-end workflow orchestration from initial plan generation to verification across multiple stages.
Gate-based progression: plan creation, plan deepening, work execution, review, and parallel task resolution to ensure quality and traceability.
Real-world scenario: coordinate a multi-phase engineering project where plans, artifacts, and results are produced automatically and can be reproduced.

Quick Start

Provide the initial project arguments to begin the autonomous engineering workflow.

Frequently Asked Questions about lfg

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

FAQPage Schema

How do I automate end-to-end engineering workflows with gate-based progression?▼

Engineering workflow automation uses gate-based progression to coordinate planning, execution, review, and verification. It ensures deterministic task execution and auditable artifacts by requiring each phase to pass quality gates before advancing.

What is scripted plan generation for multi-step software engineering projects?▼

Scripted plan generation automatically creates and deepens project plans for multi-phase engineering tasks. It transforms initial project arguments into structured, actionable plans that drive autonomous execution and cross-team collaboration.

How do I coordinate cross-team collaboration and artifact-driven deliverables?▼

Cross-team collaboration and artifact-driven deliverables are coordinated through automated workflow orchestration. This approach manages multi-step project phases, producing reproducible file changes and traceable artifacts from planning to deployment.

Can I use automation to generate auditable artifacts and clear file changes for engineering reviews?▼

Yes, automation generates auditable artifacts and clear file changes during engineering reviews. It resolves parallel tasks and verifies results deterministically, ensuring all deliverables are reproducible and traceable across project stages.

What are the limitations of automating engineering workflow coordination across multiple stages?▼

Limitations of engineering workflow automation include potential rigidity in gate-based progression and the need for accurate initial project arguments. Complex, ambiguous tasks may require manual intervention outside the deterministic execution pipeline.