Agent Skills Hub

swift-style

Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.

commit

Enforces Sentry-style conventional commits, branch safety checks, and structured issue referencing for AI coding agents.

study-note

Log ideas, notes, and learning progress chronologically to project archives using a CLI helper tool for systematic knowledge retention.

plugin-best-practices

Validates Claude Code plugins against architectural standards, checking manifest files, frontmatter, and tool invocation patterns to ensure high-quality, compliant plugin development.

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.

create-mcp-app

Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.

context-compression

Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.

outpost

Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.

wormhole

Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.

mcp-client

Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to prevent context window bloat from tool definitions. Use for Zapier, GitHub, sequential thinking, and file operations.

memov

AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.

systematic-debugging

A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.