Session lifecycle management for Claude Code — persistent memory, soul purpose, reconcile, harvest, archive

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

🧑‍🎨 A collection of Golang agentic skills that works

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

Persistent Linux workspaces for agentic development.

Reusable Agent Skills, plus integrations (statusline, provider usage, vision) that install into Codex, Claude Code, and opencode.

Expert skills, agents, commands, rules, hooks & output styles for Claude Code — session continuity + modern CLI tooling for real-world dev workflows

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

Production-ready Claude Code skills, agents, and project templates for Craft CMS 5 development

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic information via structured resources.

Multi-agent system for software development

The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.

Run Claude Code dynamic workflows on a local Codex (GPT) backend, plus an interactive run viewer

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

A Whistle proxy management tool based on Model Context Protocol that allows AI assistants to directly control local Whistle proxy servers, simplifying network debugging, API testing, and proxy rule configuration through natural language interaction.

Portable Agent Skill for repository-native Spec programming, informed by public DeepSeek Harness engineering patterns.

When Claude says “tests pass”, makoto checks the record — every claim held against the agent's own logged deeds; fakes blocked, not warned. Each check ships at measured zero false positives. 誠

AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

Standalone engineering skills for Claude Code and Codex: review, audit, optimization, testing, product discovery, architecture, and safe publishing.