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.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

openclaw-release-maintainer

Manages the OpenClaw release lifecycle: prepares branches, updates versioning across multiple platforms, generates changelogs, and orchestrates npm and binary artifact publishing.

instruments-profiling

Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers binary selection, CLI commands, trace exports, and common debugging gotchas.

sage-mcp-protocol

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

route-handlers

A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.

testing-hashql

Guidelines for testing HashQL code using compiletest (UI tests), unit tests, and insta snapshots. Includes commands for --bless, annotation syntax, and strategies for compiler components.

kill-claude-mem

Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.

resource-scout

Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.

instagram-reel-downloader-whatsapp

Download Instagram Reels via sssinstagram.com and process them into WhatsApp-ready video files automatically.

gh-local

Run GitHub Actions CI workflows locally using nektos/act in Docker. Test your CI configurations, debug workflow failures, and validate pipeline changes without pushing code to GitHub.

datarobot-model-deployment

Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.