Unicli Hub — AI skill for Claude Code
A unified context management hub for AI CLI tools.
How to install Unicli Hub
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open teelukira/unicli-hub and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Unicli Hub does
A unified context management hub for AI CLI tools. Synchronize your agent.md, skills, and memory across Cursor, Claude Code, Kiro, and Gemini CLI.
Alternatives in AI
- Skills Manage — Desktop app to manage AI coding agent skills across Claude Code, Cursor, Gemini CLI, Codex, and 20+ platforms 2.2k ★
- Memmy Agent — 🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memor 1k ★
- Skilldock — SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Ge 490 ★
README
UniCLI-Hub
UniCLI-Hub is a mock/reference framework for keeping AI CLI configuration in one canonical place and fanning it out to multiple tools.
It is not an application project and should not contain customer, product, or delivery-workstream context. Its purpose is to demonstrate and maintain the mechanics for shared agents, skills, hooks, MCP servers, memory, and generated entry documents across AI CLIs.
For Korean documentation, see [README.ko.md](./README.ko.md).
What This Framework Does
UniCLI-Hub treats `hub/` as the single source of truth and renders generated files into tool-specific locations:
| Asset | Canonical source | Generated targets |
|---|---|---|
| Entry docs | .unicli-hub/templates/*.tmpl, hub/memory/, hub/project-context.md |
AGENTS.md, CLAUDE.md |
| Agents | hub/agents/ |
.claude/agents/, .cursor/agents/, .agents/, .kiro/, .codex/agents/ |
| Skills | hub/skills/ |
.claude/skills/, .cursor/skills/, .agents/skills/, .kiro/steering/skill-*.md, .codex/skills/ |
| Hooks | hub/hooks/, hub/registry/hook-events.json |
.claude/settings.json, .cursor/hooks.json, .agents/settings.json |
| MCP servers | hub/mcp-servers.json |
.mcp.json, .cursor/mcp.json, .agents/mcp_config.json, .codex/config.toml |
| Memory | hub/memory/*.md |
embedded in generated entry docs |
Supported CLIs
| CLI | Derived location | Entry point |
|---|---|---|
| Antigravity / agy | .agents/ |
AGENTS.md |
| Claude Code | .claude/ |
CLAUDE.md |
| Cursor | .cursor/ |
AGENTS.md plus Cursor files |
| Kiro | .kiro/ |
generated steering and agent files |
| OpenAI Codex | .codex/ |
AGENTS.md plus agent and skill files |
Tool Capabilities (Skills, Subagents, MCP)
Different AI CLIs handle extended capabilities in their own distinct ways. This framework abstracts these differences, but it is helpful to understand how each tool implements them:
1. Google Antigravity (agy)
- Skills: Fully support
Related Skills
Shareskills
Synchronize AI agent skills and custom instructions across different IDEs and tools (Cursor, Windsurf, Antigra
Memory Forge Rs
Stop resetting satisfying AI chats — edit the memory instead. Local session manager for Claude Code, Codex & O
Skills Management
A CLI tool to manage and synchronize AI coding agent skills
AI Knowledge Base
Give your AI agents persistent memory — a structured Markdown knowledge base shared across Claude Code, Gemini
Mnemon
Self-hosted, cross-device long-term memory for AI agents via MCP — one vault shared across any MCP client (Cla
Claude Code Specs Generator
A documentation and context management system for AI-assisted development, inspired by Amazon's Kiro IDE.
Related Agents
Consult Agent
Execute cross-tool AI consultations via Task spawning. Use when agents or workflows need a second opinion from
Gemini CLI Research Agent
Senior Google DeepMind researcher specializing in Gemini CLI - researches latest context window and model avai
Gemini Subagent
Dispatches a prompt to gemini-cli (Google's parallel agent CLI) via scripts/gemini/invoke.sh and returns its s