What is the primary purpose of the Impl skill in Claude Code?

The Impl skill is designed to handle the actual coding and implementation phase of a development task, ensuring that code is written according to best practices and specific quality guardrails.

How does this skill prevent low-quality code like stubs?

It features a mandatory 'Quality Guardrail' section that forbids the use of return-null stubs, hardcoded test values, and generic placeholders, forcing the AI to write meaningful logic.

Can it remember how I implemented features in the past?

When Claude-mem is enabled, the skill searches past implementation patterns and design decisions to ensure the new code remains consistent with your project's history.

Does the Impl skill support Test-Driven Development (TDD)?

Yes, it includes a Quality Gate step that identifies if a task is suitable for TDD and prompts the user to create test files before implementation.

How does it interact with the project's existing codebase?

It uses Language Server Protocol (LSP) tools like Go-to-definition and Find-references to understand existing interfaces and impacts before writing new code.

Autonomous Feature Implementation

Name: Autonomous Feature Implementation
Author: Chachamaru127

byChachamaru127

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160

Developer Tools

Implements production-ready features and core logic using an autonomous, quality-guarded development cycle within Claude Code.

About

The Impl skill serves as the primary execution engine for the Claude Code development harness, transforming tasks defined in Plans.md into high-quality, functional code. It distinguishes itself by enforcing strict 'Quality Guardrails' that prohibit stub implementations and hardcoded values, ensuring all generated logic is robust and production-grade. By integrating Language Server Protocol (LSP) for deep code navigation and memory-enhanced pattern recognition, it enables Claude to write context-aware code that aligns with existing architectural decisions and security standards.

Key Features

Plans.md Synchronization: Automatically tracks task progress and updates implementation status.
Automated Quality Gates: Evaluates the need for TDD, security checks, and performance optimization before coding.
LSP-Powered Context: Utilizes Go-to-definition and Find-references to ensure architectural consistency.
160 GitHub stars
Quality Guardrails: Strictly prohibits stubs, hardcoding, and placeholder logic.
Memory-Enhanced Patterns: Leverages past implementation history to replicate successful coding patterns and avoid previous pitfalls.

Use Cases

Building new application features from scratch based on a structured development plan.
Implementing complex business logic that requires TDD-driven development and security validation.
Refactoring existing modules while maintaining strict adherence to project-wide quality standards.

About

Key Features

Plans.md Synchronization: Automatically tracks task progress and updates implementation status.
Automated Quality Gates: Evaluates the need for TDD, security checks, and performance optimization before coding.
LSP-Powered Context: Utilizes Go-to-definition and Find-references to ensure architectural consistency.
160 GitHub stars
Quality Guardrails: Strictly prohibits stubs, hardcoding, and placeholder logic.
Memory-Enhanced Patterns: Leverages past implementation history to replicate successful coding patterns and avoid previous pitfalls.

Use Cases

Building new application features from scratch based on a structured development plan.
Implementing complex business logic that requires TDD-driven development and security validation.
Refactoring existing modules while maintaining strict adherence to project-wide quality standards.