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slfg

Automate software engineering workflows from planning to feature delivery.

1|Updated Apr 4, 2026
Search Tags:#code review#parallel development#feature delivery#autonomous workflow#knowledge compounding#swarm execution#engineering automation
One-click install
npx skills add https://github.com/ybbms777/compound-engineering --skill slfg-ybbms777
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: slfg
Source: https://github.com/ybbms777/compound-engineering/tree/main/skills/slfg
Command: npx skills add https://github.com/ybbms777/compound-engineering --skill slfg-ybbms777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the inefficiency of manual, sequential software development workflows by automating the entire end-to-end engineering process from planning to final delivery, reducing context switching and cutting down time to ship new features.

Core Features & Use Cases

  • End-to-End Workflow Automation: Orchestrates planning, implementation, code review, testing, and knowledge compounding in a single coordinated run.
  • Parallel Swarm Execution: Runs code review and browser testing simultaneously to drastically reduce total workflow time.
  • Auto-Fix and Knowledge Capture: Automatically fixes safe, low-risk issues and records encountered learnings to build organizational knowledge over time. Use case example: For instance, when building a new user notification feature, this Skill handles the entire process from drafting the technical plan to running parallel reviews and tests, then records any edge cases encountered for future reference.

Quick Start

Use the slfg skill to build the new user notification feature end-to-end without manual intervention.

Frequently Asked Questions about slfg

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

FAQPage Schema
How do I automate the full end-to-end software engineering workflow from planning to feature delivery?▼

Automating end-to-end software engineering requires orchestrating planning, implementation, code review, and testing in a single coordinated run. This approach eliminates manual context switching by applying autonomous workflows to execute new feature builds and bug fixes.

What is parallel swarm execution for code review and browser testing?▼

Parallel swarm execution runs code review and browser testing simultaneously rather than sequentially. This mechanism drastically reduces total workflow time by coordinating multiple automated engineering tasks concurrently during feature delivery.

How do I capture engineering learnings and knowledge for future reuse after a feature build?▼

Capturing engineering learnings involves structured knowledge compounding to record edge cases encountered during implementation. This process automatically documents encountered issues and technical decisions to build organizational knowledge for future reference.

Can I use autonomous engineering workflows for both new feature builds and bug fixes?▼

Autonomous engineering workflows apply to software engineering teams executing new feature builds, bug fixes, and product improvements. The coordinated process handles planning, implementation, review, testing, and knowledge capture without requiring manual intervention.

Does automated code review support safe auto-fix of identified issues?▼

Automated multi-role code review identifies issues and applies safe auto-fix for low-risk problems. The review mechanism simultaneously evaluates code quality while automatically resolving safe detected vulnerabilities during parallel swarm execution.

What are the limitations of autonomous engineering workflows for complex software development?▼

Autonomous engineering workflows require coordinated planning and structured execution, meaning highly complex or ambiguous feature builds may still need manual oversight. The auto-fix mechanism is limited to safe, low-risk issues identified during automated review.

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