slfg

Coordinate parallel and sequential swarm-based engineering tasks across distributed agents.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/Bradliebs/VolumeTurtle --skill slfg-bradliebs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slfg
Source: https://github.com/Bradliebs/VolumeTurtle/tree/main/.github/skills/slfg
Command: npx skills add https://github.com/Bradliebs/VolumeTurtle --skill slfg-bradliebs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates swarm-enabled autonomous engineering workflows to accelerate complex planning, execution, and learning cycles without manual handoffs.

Core Features & Use Cases

  • Swarm-enabled orchestration: parallelize plan generation, execution, review, autofix, and learning steps.
  • End-to-end workflow: supports sequential and parallel phases with observable outputs for each stage.
  • Observability & learning: includes observe/learn phases to capture patterns and improve project instincts.

Quick Start

Run the swarm workflow to initialize and execute all sequential and parallel steps.

Frequently Asked Questions about slfg

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

FAQPage Schema
How do I automate parallel engineering workflows with multiple agents?

Automate parallel engineering workflows by orchestrating swarm-based agents that coordinate sequential and parallel tasks across complex software projects. The workflow handles planning, execution, review, autofix, and learning stages without manual handoffs.

What is swarm-based orchestration for software engineering tasks?

Swarm-based orchestration coordinates distributed agents to execute end-to-end engineering tasks in parallel and sequential phases. It includes observe and learn phases to capture patterns and improve project instincts across local and CI-like environments.

Can I use autonomous agents for both local development and CI-like environments?

Autonomous agents operate in both local and CI-like environments to execute swarm-based engineering workflows. They enforce structured Skill Unit definitions with mandatory SKILL.md frontmatter and optional scripts, references, and assets.

How do I structure Skill Units for autonomous engineering workflows?

Structure Skill Units using a mandatory SKILL.md frontmatter with optional scripts, references, and assets directories. Explicit metadata extraction surfaces dependencies and components required for the swarm orchestration workflow.

What's the best way to coordinate planning, execution, and review phases in a swarm workflow?

Coordinate planning, execution, and review phases using swarm-enabled orchestration that parallelizes these steps with observable outputs. The workflow includes an autofix phase and a learn phase to capture patterns and improve project instincts.

Does the swarm workflow require external dependencies to run?

The swarm workflow operates with no external dependencies, relying solely on its internal structured Skill Unit definition. It enforces mandatory SKILL.md frontmatter and explicit metadata extraction to surface required dependencies and components.