What programming languages are supported?

The workflow is language-agnostic but includes specialized dependency chains and best practices for Fullstack TypeScript/Python, Rust, and modern monorepos.

How does it improve code quality?

It enforces a verification cadence where typechecks and lints are run every 2-3 edits, catching errors immediately rather than allowing them to accumulate into complex debugging spirals.

Does it support different project sizes?

Yes, it uses 'Scale Selection' to adjust its strategy based on the task, ranging from lightweight workflows for trivial config changes to 'Research Swarms' for epic-level subsystems.

When should I trigger the implement skill?

Activate this skill whenever you are writing code, building new features, fixing bugs, or refactoring. It is triggered by phrases like 'code this', 'fix this bug', or 'start building'.

What is the '3-strike rule' in this skill?

It is a spiral prevention tactic: if an error isn't resolved in 3 attempts, the skill dictates changing the approach entirely or escalating, preventing wasted cycles on ineffective fixes.

Professional Code Implementation

Name: Professional Code Implementation
Author: hyperb1iss

byhyperb1iss

•

Herramientas para Desarrolladores

Implements features and fixes using a high-velocity, verification-driven workflow designed to eliminate debugging spirals and ensure code quality.

The Implement skill provides a battle-tested framework for Claude to write, fix, and refactor code across projects of any scale. Based on data from thousands of operations, it enforces a structured sequence—Orient, Plan, Implement, Verify, and Commit—with a specific focus on high-frequency verification. By performing typechecks every 2-3 edits and following domain-specific dependency chains, it bridges the gap between draft code and production-ready implementation, ensuring that 73% of fixes that usually go unverified are properly validated.

Características Principales

01Structured error recovery and spiral prevention protocols

02Dynamic scale selection for tasks ranging from trivial typos to epic subsystems

032 GitHub stars

04Verification-driven coding with a strict 2-3 edit feedback loop

05Domain-specific dependency chains for Fullstack, Rust, and TypeScript

06Standardized Git workflows using Conventional Commits and HEREDOC formatting

Casos de Uso

01Fixing persistent bugs using hypothesis-driven resolution and targeted verification

02Building complex multi-layer features from database models to UI components

03Executing large-scale refactors with incremental migration and parity checks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hyperb1iss/hyperskills implement

For use in Claude.ai and ChatGPT

Download Skill