Git & Workflow skills

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

Upgrade Expo SDK versions

ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.

Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, and custom agents. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).

NOTICE: claude code is available with Anthropic's $20/mo subscription, so I consider codemcp fully obsolete. However, there are some good design ideas (especially around the Git-versioning scheme) that I eventually want to port into the current generation of agentic coding clis. Make Claude Desktop a pair programming assistant by installing codemcp. With it, you can directly ask Claude to implemen

Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.

Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.

Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.

Your agent has zero users. This fixes that. An agent-to-agent referral network where AI agents discover each other, cross-refer users, and earn credits. Available as an MCP server and HTTP API. Built by an AI agent that couldn't find its own customers. Published as io.github.oxgeneral/agentnet v1.0.0 You built an agent. It works. Nobody uses it. - 3M+ GPTs on OpenAI — most have zero users - 17,000

A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.

Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.

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

A Golang-based Model Context Protocol (MCP) server implementation for Prometheus that enables natural language interactions with Prometheus metrics and queries. Built with Go, prometheus-mcp-server provides a robust, type-safe interface that maintains full consistency with the Prometheus HTTP API, allowing you to query and manage your Prometheus instance through natural language conversations with

gomcp is an MCP server written in It exposes tools to interact with Lightpanda Browser via CDP protocol. gomcp requires you to have already installed Lightpanda You need to install Go to build from source. Once you have cloned the repository, build the binary with go build. By default, gocmp starts a local instance of Lightpanda browser. On the first run, you need to download the binary with the c

Manage track lifecycle: archive, restore, delete, rename, and cleanup

This project provides a set of tools for retrieving information about SonarQube projects using the FastMCP (Fast Model Context Protocol) framework. It serves as an interface to SonarQube, allowing users to programmatically access metrics, historical data, and component tree metrics for specified projects. This automated access enables reporting, analysis, and integration of SonarQube data with oth

AI-powered image editing with style transfer and object removal

Deterministically resolve which Codex and Claude Code instruction sources apply to a repository path, including scope, shadowing, exclusions, and diagnostics.

One-off HLS encoding (local video -> HLS renditions + playlist) using Transloadit via the `transloadit` CLI. Prefer builtin templates (`builtin/encode-hls-video@latest`) and download outputs locally via `-o`.

General principles for structured content modeling that apply across CMSs, with Sanity-specific guidance. Use when designing content schemas, planning content architecture, or evaluating content reuse strategies.

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

Create a new track with specification and phased implementation plan

Main entry-point skill for Transloadit. Route to the right `integrate-*`, `transform-*`, or `docs-*` skill, and prefer executing via `npx -y @transloadit/node ...` (CLI) for deterministic behavior.

Automatically hunt for high-impact OSS contribution opportunities in trending repositories.