By gyuch-an02
Observes your coding workflow and proactively suggests relevant Claude Code skills from a federated catalog, then installs them after your approval.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Proactive Claude skill discovery and onboarding. Trigger at the start of a new session or project, when the user asks "what should I do/install/use", when no skills are installed yet, or when the user repeats a manual task 3+ times. Observe quietly, serve one precise recommendation, install on approval, and guide the user to use it immediately — in this same session. Never show a menu. Bundled with the claude-omakase MCP server.
Review a code diff or file for correctness bugs, security issues, and clear simplifications. One finding per line, severity-tagged. Use when user wants fast, focused code review.
Deeply explain any code, concept, system, or error in a way that builds genuine understanding. Use when user wants to understand something rather than just fix it.
Help the user create a new Claude Code skill (SKILL.md). Use when user wants to automate a recurring workflow or capture a reusable instruction set.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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An MCP server that turns Claude into a proactive skill curator.
It notices when you keep doing the same thing by hand — then offers the right skill.
No searching. No docs. Just say yes or no.
Install · How it works · AI protocol
Claude Code
┌────────────────┐ ┌──────────────────────┐
│ omakase-chef │ │ claude-omakase MCP │
│ SKILL.md │ calls ──▶ │ server (stdio) │
│ (the behavior) │ │ (registry + install) │
└────────────────┘ └──────────────────────┘
│
│ fetched at build time
▼
┌─────────────────────────────────────────────────┐
│ Daily federated catalog │
│ ├── handpicked/ verified seeds + overlay │
│ ├── skillsmp public marketplace │
│ └── github-skills GitHub SKILL.md search │
└─────────────────────────────────────────────────┘
npx command added to your MCP host config.omakase-chef skill instructs Claude to monitor your workflow in the background.~/.claude/skills/ and it's active next session.First time? Claude greets you with a starter pack of universally useful skills so you're not starting from zero.
Search that speaks your language. find_skill ranks the catalog by keyword plus LLM-generated synonyms in both English and Korean, then returns the top candidates and lets Claude rerank them by reading the descriptions — so a query like 웹사이트 크롤링 or "scrape a site" both land on the right web-scraping skill, even when its description is in the other language. Search only has to surface the answer somewhere in the top few; Claude (already in the loop) picks the best fit — no extra model at serving time.
One command installs everything — the MCP server, the omakase-chef skill, and all three proactive hooks, auto-registered:
/plugin marketplace add gyuch-an02/claude-omakase
/plugin install claude-omakase@omakase
Restart your Claude session and the chef is active. No settings.json editing, no separate installer.
# 1. Install the omakase-chef skill + copy the hooks
npx -y -p claude-omakase claude-omakase-install
# 2. Add the MCP server to your Claude Code config
claude mcp add omakase -- npx -y claude-omakase
The manual path copies the hooks but does not register them — opt in by pasting the printed snippet into your settings.json (see Proactive hooks). Don't combine both paths: the plugin already registers the hooks, so adding the snippet too would run every hook twice.
Requirements: Node.js 20+, Claude Code (or another MCP host that supports stdio servers).
Add this to your MCP host config file and restart the host:
{
"mcpServers": {
"omakase": {
"command": "npx",
"args": ["-y", "claude-omakase"]
}
}
}
Once registered, these things just happen:
npx claudepluginhub gyuch-an02/claude-omakase --plugin claude-omakaseMemory compression system for Claude Code - persist context across sessions
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Streamline people operations — recruiting, onboarding, performance reviews, compensation analysis, and policy guidance. Maintain compliance and keep your team running smoothly.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.