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christianearle01
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standards-enforcer

Enforce coding standards across codebases by learning team conventions from config files.

Updated Dec 4, 2025
Search Tags:#linting#standards#quality-gate#code-review#dynamic-learning#team-preferences
One-click install
npx skills add https://github.com/christianearle01/claude-config-template --skill standards-enforcer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: standards-enforcer
Source: https://github.com/christianearle01/claude-config-template/tree/main/.claude/skills/standards-enforcer
Command: npx skills add https://github.com/christianearle01/claude-config-template --skill standards-enforcer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automatically enforces coding standards across a codebase by learning team preferences over time, reducing false positives and accelerating code reviews.

Core Features & Use Cases

  • Dynamic learning: Tracks acceptance/rejection of suggestions to tune confidence per rule.
  • Contextual standards: Reads CLAUDE.md, coding-standards.md, and config files to apply team-specific conventions.
  • Quality gates: Acts as a gating mechanism in PR reviews and CI checks to improve code quality.

Use cases

  • When reviewing a PR, when onboarding to a new project, or when enforcing standards during merges.

Quick Start

To activate this skill, ensure CLAUDE.md and coding-standards.md are present at the project root, then trigger a standards review on a file or PR.

Frequently Asked Questions about standards-enforcer

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

FAQPage Schema
How do I automate coding standards enforcement in PR reviews?▼

Automate coding standards enforcement in PR reviews by configuring a quality gate that reads CLAUDE.md and coding-standards.md to apply team-specific conventions across multiple languages. The skill acts as a gating mechanism during code reviews to improve quality.

What is adaptive learning for code review linting?▼

Adaptive learning for code review linting tracks the acceptance and rejection of suggestions to tune confidence per rule over time. This dynamic mechanism reduces false positives by recording outcomes for continuous improvement of team preference enforcement.

Do I need specific config files to enforce team coding conventions?▼

Yes, you need CLAUDE.md and coding-standards.md present at the project root to enforce team coding conventions. The skill reads these contextual standards files during code reviews and quality gates to apply your project-specific conventions.

Can I override automated quality gate suggestions for explicit team decisions?▼

Yes, you can override automated quality gate suggestions for explicit team decisions. The skill supports configurable learning and overrides while still recording outcomes, ensuring that dynamic learning respects explicit team preferences and reduces false positives.

What's the best way to reduce false positives in code review linting?▼

Reduce false positives in code review linting by using an adaptive standards enforcer that tracks the acceptance and rejection of suggestions. It tunes confidence per rule based on your team's historical outcomes, accelerating reviews and improving accuracy.

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