ART.gineering - Werapol Bejranonda
Community@bejranonda · Germany
[PersonalArchive] Day job: Building IoT & smart energy systems. Passion projects: AI, data engineering, sensor tech >blending into creative solutions & collabs
Agent Skills by ART.gineering - Werapol Bejranonda
Showing 24 vetted skills indexed across 1 GitHub repositories.
web-validation
Detect JavaScript errors and collect browser diagnostics from web pages.
frontend-aesthetics
Guide typography, color, motion, and interactions for distinctive frontend aesthetics.
web-search-fallback
Delegate web searches to an autonomous agent when WebSearch fails.
web-artifacts-builder
Build React applications with TypeScript, Tailwind CSS, and shadcn/ui.
quality-standards
Define and enforce code quality standards for Python and JavaScript/TypeScript projects.
fullstack-validation
Automate validation of multi-component full-stack applications to detect integration issues.
Group Collaboration
Coordinate inter-group collaboration across a four-tier agent architecture.
performance-scaling
Configure cross-model performance scaling for Claude and GLM agents.
testing-strategies
Define test coverage targets and organize unit, integration, and end-to-end tests.
autonomous-development
Automate software development lifecycle from requirements to production-ready code.
ast-analyzer
Parse Python, JavaScript, and TypeScript code into ASTs for structural analysis.
Predictive Skill Loading
Pre-load optimal skills before task execution using fingerprint-based similarity.
git-automation
Automate Git branching, commits, and release workflows across repositories.
contextual-pattern-learning
Identify transferable patterns across codebases and domains using weighted similarity scoring.
gui-design-principles
Define GUI design principles covering layout, typography, color, accessibility, and responsive design.
validation-standards
Enforce validation standards for Claude Code tool usage and documentation consistency.
claude-plugin-validation
Validate Claude Code plugin manifests and directory structures for compliance.
code-analysis
Analyze code complexity and detect code smells in multi-language codebases.
Decision Frameworks
Transform Group 1 recommendations into actionable Group 3 execution plans.
integrity-validation
Compare pre-operation and post-operation inventories to detect missing components.
security-patterns
Identify and remediate security vulnerabilities using OWASP Top 10 guidance.
model-detection
Identify active LLM models and assess capabilities for adaptive agent configuration.
documentation-best-practices
Generate Google-style Python and JSDoc documentation templates with coverage targets.
pattern-learning
Detects and stores successful task execution patterns in a repository for reuse.