Agent Skills Hub

jlens-mcp

Expert-level Java codebase analysis and Maven dependency management skill. Enables deep bytecode inspection, multi-version dependency conflict resolution, and automated project building via MCP integration.

eslint-checker

Automated ESLint executor for static analysis, code quality enforcement, and safe auto-fixing of JavaScript and TypeScript projects.

tavily-web

Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.

core-principles

Architectural governance and project standards for React 19 SPA development, ensuring consistency in stack integration, project structure, and agent execution rules.

trulens-evaluation-workflow

A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.

developer-growth-analysis

Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.

monitor

Automated PR CI monitoring and failure resolution agent.

data-quality-frameworks

Implement production-grade data quality validation using Great Expectations, dbt tests, and data contracts to ensure reliable pipelines.

vibesafe

Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.

using-skills

Mandatory workflow skill for managing conversation state, enforcing skill discovery, and ensuring task adherence through TodoWrite checklists.

semantic-compression

Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.

log-debug-issue

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