lfg

Coordinate planning, coding, and review to deliver autonomous software changes.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill lfg-diestok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lfg
Source: https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026/tree/main/.agents/skills/compound-engineering/skills/lfg
Command: npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill lfg-diestok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates the end-to-end autonomous engineering workflow by orchestrating planning, coding, review, and deployment steps, reducing manual coordination and human error in complex software tasks.

Core Features & Use Cases

  • Automated Plan & Execution: Generates and validates a plan, then performs implementation and verification steps in sequence.
  • Integrated Review & Handoff: Automatically runs code review feedback and persists fixes, preparing a durable handoff to downstream teams.
  • Use Case: Ideal for fast-turn experiments where teams want a reproducible pipeline from task description to ready-for-review changes.

Quick Start

Instruct the system with a concrete engineering task description and let the pipeline autonomously plan, implement, and review it.

Frequently Asked Questions about lfg

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

FAQPage Schema
How do I automate autonomous engineering workflows for feature development and bug fixes?

Autonomous engineering workflows are coordinated by automatically planning, coding, and reviewing software changes to deliver ready-for-review results. The pipeline enforces a pre-generated plan, implements the code, and applies review autofixes sequentially.

What is the best way to orchestrate planning and code review for autonomous software changes?

Orchestrating planning and code review involves generating a validated plan, executing the implementation, and running integrated review feedback to persist fixes. This approach reduces manual coordination and human error in complex software tasks.

Do I need a pre-generated plan before starting autonomous coding and refactoring tasks?

Yes, a pre-generated plan stored in the docs/plans directory is required before initiating autonomous coding and refactoring tasks. The pipeline enforces this plan to guide the subsequent implementation and verification steps.

How does an autonomous engineering pipeline handle code review feedback and residual handoff?

Autonomous engineering pipelines handle code review feedback by automatically running checks and persisting autofixes. After applying fixes, the pipeline prepares a durable handoff to downstream teams for any residual tasks.

Can I use this autonomous workflow for fast-turn experiments and reproducible software pipelines?

Yes, you can use this autonomous workflow for fast-turn experiments to create a reproducible pipeline from task description to ready-for-review changes. It sequentially validates plans, implements code, and verifies the results.