Git & Workflow skills

AI-powered image editing with style transfer and object removal

You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

Text-to-speech and speech-to-text using fal.ai audio models

Git-aware undo by logical work unit (track, phase, or task)

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

Secure environment variable management with Varlock. Use when handling secrets, API keys, credentials, or any sensitive configuration. Ensures secrets are never exposed in terminals, logs, traces, or Claude's context. Trigger phrases include "environment variables", "secrets", ".env", "API key", "credentials", "sensitive", "Varlock".

Safe updates for GitHub SpecKit installations, preserving your customizations. This Claude Code skill provides a safe, automated way to update SpecKit templates, commands, and scripts while preserving user customizations, eliminating the need for destructive specify init --force updates. - Smart Merge with Frictionless Onboarding (New in v0.6.0): Automatic version detection and intelligent 3-way m

You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.

An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

✨ Instantly understand and visualize your codebase structure & dependencies! ✨ A TypeScript-based tool for ranking files in your codebase by importance, tracking dependencies, and providing summaries to help understand code structure. This MCP server analyzes your codebase to identify the most important files based on dependency relationships. It generates importance scores (0-10) for each file, t

The Crossroads for AI Data Exchanges A unified MCP hub that gives your AI Knowledge , Memory , and Tools — not just a proxy. Manage and test all MCP servers from a single connection while powering document-aware and memory-augmented workflows across clients. The plugged.in MCP Proxy Server is a powerful middleware that aggregates multiple Model Context Protocol (MCP) servers into a single unified

PiloTY (PTY for your AI Copilot) is an MCP server that gives an agent a persistent, interactive terminal. If you have used Claude Code / Codex to run shell commands, you have probably hit the same wall: tool calls tend to be stateless. Each call starts "fresh", so environment variables disappear, interactive programs cannot be driven reliably, and long-running processes get cut off or orphaned whi

Chrome. X. GitHub. The web. All recalled instantly — just ask.

Stage, commit, and push git changes with conventional commit messages. Use when user wants to commit and push changes, mentions pushing to remote, or asks to save and push their work. Also activates when user says "push changes", "commit and push", "push this", "push to github", or similar git workflow requests.

This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode's powerful development tools and language features to AI tools. It enables advanced code navigation, analysis, and manipulation capabilities when using AI coding assistants that support the MCP protocol. - Installation/Usage - Multi-Project Support - Available Tools - Available Commands - Troubleshooting - Co

The MCPR (Model Context Protocol Tools for R) package addresses a fundamental limitation in the current paradigm of AI-assisted R programming. Existing AI agents operate in a stateless execution model, invoking Rscript for each command, which is antithetical to the iterative, state-dependent nature of serious data analysis. An analytical workflow is a cumulative process of exploration, modelling,

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

MCP Server for the GitLab API, enabling project management, file operations, and more. - Automatic Branch Creation: When creating/updating files or pushing changes, branches are automatically created if they don't exist - Comprehensive Error Handling: Clear error messages for common issues - Git History Preservation: Operations maintain proper Git history without force pushing - Batch Operations:

Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.

Hard-edged writing style contract for timeless, forceful English prose without AI tics

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

Developer Experience specialist. Improves tooling, setup, and

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.