Implementation Approach

Implementation Approach is an AI Engineering skill for Claude Code, published by shinpr in ai-coding-project-boilerplate.

227 stars25 forkson shinpr/ai-coding-project-boilerplateAdded 2026/09/03Repository updated 2026/09/01

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Install in seconds

Install Implementation Approach

Copy Implementation Approach into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/implementation-approach ~/.claude/skills/implementation-approach

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/shinpr/ai-coding-project-boilerplate.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills-en/implementation-approach/SKILL.md in shinpr/ai-coding-project-boilerplate
Installs to: ~/.claude/skills/implementation-approach
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What Implementation Approach does

Implementation Approach selects a feature implementation strategy such as vertical slice, horizontal, or hybrid. Use it when planning how to build a feature and assessing the risks of each path.

Implementation Approach is cataloged under AI Engineering on DirSkills. Implementation Approach comes from a repository tagged agent-skills, agentic-ai, agentic-workflow, ai-agents and anthropic.

Documentation

README

Excerpt

Implementation Strategy Selection Framework (Meta-cognitive Approach)

Meta-cognitive Strategy Selection Process

Phase 1: Decision-Sufficient Current State Analysis

Core Question: "What does the existing implementation look like?"

Analysis Framework

Architecture Analysis: Responsibility separation, data flow, dependencies, technical debt
Implementation Quality Assessment: Code quality, test coverage, performance, security
Historical Context Understanding: Current form rationale, past decision validity, constraint changes, requirement evolution

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Implementation Approach

What else does shinpr publish alongside Implementation Approach?
Implementation Approach is one of 25 skills that DirSkills catalogs from shinpr/ai-coding-project-boilerplate, the repository it ships in. Its siblings there include Coding Standards, Coding Standards and Create Skill. Each one is a separate skill with its own page in this directory, installs the same way Implementation Approach does, and is maintained by shinpr in that same repository. The rest of the collection is listed on the shinpr/ai-coding-project-boilerplate page.
How does Implementation Approach compare to other AI Engineering skills?
Implementation Approach ranks #2510 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Implementation Approach against them. Open each page to compare what they document and how they install.