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.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
600 skills found
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.
Google Ads integration for managing campaigns, accounts, budgets, and reporting via Membrane CLI. Streamline your advertising workflow with automated authentication and cross-resource management.
Automated global intelligence aggregator for market, geopolitical, and AI news. Features RSS feed integration, real-time alert systems for critical events, and structured report generation with intelligence inference.
Automated tool and MCP server discovery for Claude Code. Searches 17+ registries to find relevant skills, plugins, and tools before planning or when errors occur.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.
Replaces arbitrary test timeouts with robust condition-based polling to eliminate flaky tests, race conditions, and timing-dependent failures in software testing suites.
Xero accounting integration. Manage invoices, contacts, bank transactions, and financial records directly through your AI agent.
Search and query TikHub social media APIs for TikTok, Douyin, Xiaohongshu, Instagram, YouTube, and more to fetch cross-platform data.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.
Language-agnostic backend architectural patterns covering API design, authentication, security protocols, and database modeling.