How does slfg handle the planning phase?

It follows a sequential planning process starting with a base plan (/ce:plan) which is then refined and expanded using a deepening command to ensure architectural consistency.

What is swarm mode in the slfg skill?

Swarm mode allows the skill to launch multiple background subagents simultaneously to handle different parts of a project, such as writing code and running tests at the same time.

Can slfg fix errors it finds during testing?

Yes, it includes a specific phase called 'resolve_todo_parallel' which identifies and fixes findings from the code review and browser testing stages.

Does this skill help with documentation?

Yes, the finalize phase includes an automated command to record a feature walkthrough video and add it directly to your Pull Request.

Autonomous Swarm Engineering

Name: Autonomous Swarm Engineering
Author: drhazemibclc

bydrhazemibclc

0•

Productividad y Flujo de Trabajo

Orchestrates a fully autonomous engineering workflow using parallel agent swarms for high-speed software development and testing.

The slfg (Swarm-enabled LFG) skill is a powerful automation engine designed to handle the end-to-end software development lifecycle within Claude Code. By utilizing 'swarm mode,' it breaks down complex feature descriptions into parallelizable tasks, launching an army of subagents to implement code, perform reviews, and run browser-based tests simultaneously. This skill moves beyond simple assistance by managing sequential planning phases and parallel execution phases, concluding with automated walkthrough video generation to ensure every feature is PR-ready with minimal human intervention.

Características Principales

01Multi-stage planning and architectural deepening for complex features

02Automated background code reviews and browser-based testing

030 GitHub stars

04Parallel TODO resolution to fix issues identified during reviews

05Integrated feature video recording for comprehensive pull request documentation

06Parallel swarm execution for rapid multi-file code implementation

Casos de Uso

01Developing complex features from a single prompt that require multiple sub-tasks and tests

02Automating the end-to-end PR lifecycle including implementation, testing, and video walkthroughs

03Scaling engineering output by leveraging parallel agent swarms for concurrent code and test generation

Características Principales

01Multi-stage planning and architectural deepening for complex features

02Automated background code reviews and browser-based testing

030 GitHub stars

04Parallel TODO resolution to fix issues identified during reviews

05Integrated feature video recording for comprehensive pull request documentation

06Parallel swarm execution for rapid multi-file code implementation

Casos de Uso

01Developing complex features from a single prompt that require multiple sub-tasks and tests

02Automating the end-to-end PR lifecycle including implementation, testing, and video walkthroughs

03Scaling engineering output by leveraging parallel agent swarms for concurrent code and test generation