What sources does the Standards Discovery skill analyze?

It concurrently scans project configuration files (like ESLint or Prettier), source code patterns, existing markdown documentation, and external metadata from GitHub PRs and CI/CD logs.

What is the confidence scoring system?

Confidence is calculated based on source count, consistency across the codebase, and how explicitly a rule is defined in configuration files versus inferred from patterns.

Does it automatically change my documentation files?

By default, it presents findings for user review. You can see the evidence and confidence score for each standard before approving them for application via the docs-manager.

Can I limit the scope of the discovery?

Yes, you can use the --scope parameter to target specific areas like 'frontend', 'backend', 'testing', or a 'quick' scan that only looks at config files.

How long does a typical discovery scan take?

Thanks to parallel execution, a full discovery scan typically finishes in 45-60 seconds, whereas sequential analysis would usually take 2-4 minutes.

Maister Standards Discovery

Name: Maister Standards Discovery
Author: SkillPanel

bySkillPanel

•

학습 및 문서화

Automatically identifies and documents coding conventions from project files, PR history, and configuration settings.

Maister Standards Discovery is a sophisticated capability for Claude Code that automates the extraction of project-specific coding standards. By analyzing configuration files, codebase patterns, existing documentation, and GitHub PR history in parallel, it identifies established conventions with evidence-based confidence scoring. This skill eliminates the manual overhead of documenting team-specific practices and ensures AI-generated code remains consistent with your existing architectural patterns and style guides.

주요 기능

01Seamless integration with docs-manager for persistent standards storage

02Evidence-based findings citing specific files, line counts, and rules

03Parallel subagent execution for rapid, multi-source discovery

04Automated analysis of recent GitHub Pull Requests and CI/CD logs

0560 GitHub stars

06Multi-factor confidence scoring to filter high-quality conventions

사용 사례

01Auditing inconsistencies between official documentation and actual code usage

02Aligning AI-generated code with unique, team-specific implementation patterns

03Onboarding to a legacy codebase with missing or outdated documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add skillpanel/maister standards-discover

For use in Claude.ai and ChatGPT

주요 기능

01Seamless integration with docs-manager for persistent standards storage

02Evidence-based findings citing specific files, line counts, and rules

03Parallel subagent execution for rapid, multi-source discovery

04Automated analysis of recent GitHub Pull Requests and CI/CD logs

0560 GitHub stars

06Multi-factor confidence scoring to filter high-quality conventions

사용 사례

01Auditing inconsistencies between official documentation and actual code usage

02Aligning AI-generated code with unique, team-specific implementation patterns

03Onboarding to a legacy codebase with missing or outdated documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add skillpanel/maister standards-discover

For use in Claude.ai and ChatGPT