implement-feature-minimal

Plan, scaffold, and test small features from concise descriptions.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/saboteur-labs/ai-workflows --skill implement-feature-minimal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement-feature-minimal
Source: https://github.com/saboteur-labs/ai-workflows/tree/main/skills/coding/implement-feature-minimal
Command: npx skills add https://github.com/saboteur-labs/ai-workflows --skill implement-feature-minimal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides engineers to reliably implement a feature from a concise task description by providing a clear plan, scaffolding, and tests within a low-context setup.

Core Features & Use Cases

  • Plan-first approach: 3–5 bullet plan outlining steps to implement the feature.
  • Code scaffolding & tests: Generates skeleton files and unit tests aligned to the plan.
  • Edge-case handling: Validates inputs and provides robust error handling and fallback paths.
  • Use Case: A junior developer asks to implement a small feature from a ticket with limited context; this skill produces runnable scaffolding and test coverage.

Quick Start

Describe the feature task and any constraints, and the skill will generate a plan, code skeletons, and tests.

Frequently Asked Questions about implement-feature-minimal

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

FAQPage Schema
How do I implement a small feature from a brief ticket description?

To implement a small feature from a brief description, use a plan-first approach that generates a 3-5 bullet step plan, code scaffolding, and unit tests. This ensures reliable feature development even with limited context.

What is the best way to scaffold code and unit tests for quick prototyping?

The best way to scaffold code and unit tests for quick prototyping is to generate skeleton files and test coverage aligned directly to a concise step-by-step plan, ensuring immediate runnability and edge-case validation.

Can I generate a development plan and code skeletons in a limited-context environment?

Yes, you can generate a development plan and code skeletons in a limited-context environment by processing concise natural language feature descriptions to output structured 3-5 step plans and runnable code scaffolding.

Does minimal feature implementation handle edge cases and error handling?

Yes, minimal feature implementation handles edge cases by validating inputs and providing robust error handling alongside fallback paths during the code scaffolding and unit test generation process.