Agent Skills Hub

log-debug-issue

Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.

bmad-planner

Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.

sage-mcp-protocol

Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.

variant-analysis

Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.

skill-repo

Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.

brainwriting

Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.

plotly

Interactive Python graphing library for 40+ chart types, scientific visualizations, statistical analysis, and web dashboards using Plotly Express and Graph Objects.

github-pr-creation

Automated GitHub Pull Request creation with task validation, test execution, Conventional Commits formatting, and project-aware label suggestions.

humanizer

Remove AI-generated patterns and inject natural human voice into your writing. Fixes robotic phrasing, overuse of AI vocabulary, and sterile structure to make text sound authentic.

fastapi-clean-architecture

Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.

writing-standards

A professional writing standard plugin for high-quality Korean technical content, enforcing omniscient 3rd-person perspectives, AI pattern elimination, and systematic citation systems.

doc-reader

Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.