slfg

Orchestrate autonomous engineering workflows with swarm agents and slash commands.

Updated Nov 11, 2023
One-click install
npx skills add https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb --skill slfg-michaelvolz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: slfg
Source: https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb/tree/main/.opencode/skills/ce/slfg
Command: npx skills add https://github.com/michaelvolz/redmuffin.Blazor.StaticWeb --skill slfg-michaelvolz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual orchestration of planning, work, review, testing, autofix, todos, and final delivery by driving a predefined swarm-enabled LFG workflow through slash commands and agent coordination.

Core Features & Use Cases

  • Sequential orchestration: Optionally run a ralph-loop completion, invoke /ce:plan while recording the plan path in docs/plans/, and launch /ce:work with swarm subagents.
  • Parallel validation: Spawn /ce:review mode:report-only and /compound-engineering:test-browser as background agents once work finishes, then collect their results before mutating the repo.
  • Autofix and finalize: Execute /ce:review mode:autofix with the saved plan, resolve residual findings via /compound-engineering:todo-resolve, capture the feature walkthrough using /compound-engineering:feature-video, and publish <promise>DONE</promise> when complete.

Quick Start

Tell the assistant to run the slfg skill with your feature description to trigger its swarm-enabled autonomous workflow.

Frequently Asked Questions about slfg

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

FAQPage Schema
How do I automate feature engineering workflows with swarm agents?

Autonomous swarm engineering workflows orchestrate planning, parallel review agents, and browser testing to complete feature requests end-to-end without manual intervention. It sequentially executes planning, swarm work, parallel validation, and autofixing before final delivery.

What is compound engineering and how does plan-execute workflow function?

Compound engineering coordinates complex feature requests through a structured plan-execute workflow. It records a plan path, launches swarm subagents for execution, and validates work through parallel review and browser test agents before finalizing.

How to run parallel review and browser testing for autonomous code changes?

Parallel review and browser testing are triggered by spawning background agents after swarm execution finishes. The system runs report-only reviews and browser tests simultaneously, collecting their results before applying any repository mutations.

Does autonomous engineering workflow support autofix for code review findings?

Autonomous engineering workflows support autofix by executing review commands with a saved plan to automatically resolve findings. Residual issues are then handled through sequential todo resolution before publishing completion.

Can I generate a feature video walkthrough after completing autonomous engineering tasks?

Feature video walkthroughs are generated as a final reporting step in the autonomous engineering workflow. Once planning, swarm execution, review, autofix, and todo resolution are complete, the system captures a video walkthrough of the delivered feature.

When should I use swarm mode for autonomous engineering instead of manual coding?

Swarm mode autonomous engineering is suited for complex compound engineering tasks requiring coordinated planning, parallel validation, and multi-agent execution. You should avoid it for simple, single-file edits that do not benefit from parallel review and browser testing overhead.