Otolab
Install otolab to bundle Japanese-first agent prompts, dev recipes, snippets, doc search MCP, and COEIROINK voice MCP for a fuller Claude Code agent stack.
Overview
otolab is a plugin marketplace for the Build phase that ships five plugins—prompts, dev recipes, snippets, search-docs MCP, and COEIROINK TTS MCP—for extending Claude Code agents.
What is this marketplace?
- 5 plugins: agent-prompts, coeiro-operator, recipes, snippets, search-docs
- agent-prompts: AI agent principles, behavior modes, and custom commands
- search-docs MCP server for markdown documentation vector search and retrieval
- coeiro-operator MCP server for COEIROINK voice synthesis (TTS)
- recipes and snippets: development patterns, best practices, reusable scripts and utilities
- 5 plugins in marketplace
- MCP plugins: coeiro-operator (v1.3.0), search-docs (v1.0.14)
- Metadata: AI Agent向けのプロンプト・スクリプト・レシピ集
What problem does it solve?
Agent sessions feel inconsistent when prompts, doc lookup, voice tools, and reusable scripts live in scattered repos instead of one installable bundle.
Who is it for?
Builders who want a Japanese-documented agent starter kit with MCP doc search and optional voice synthesis alongside patterns and utilities.
Skip if: Teams that only need one English-only skill with no MCP setup or COEIROINK dependency.
What do I get? / Deliverables
After registering otolab, you enable a coherent set of prompt foundations, MCP doc search, optional TTS, and reusable dev recipes/snippets inside Claude Code.
- Five optional plugins enabled from one marketplace
- Doc search and voice MCP integrations when configured
- Reusable snippet and recipe assets for agent-driven development
Plugins in this marketplace
5 plugins — install individually after you add the marketplace.
Recommended Marketplaces
Journey fit
Canonical shelf is Build because the marketplace is an AI-agent productivity bundle—prompts, patterns, scripts, and MCP servers for day-to-day implementation. agent-tooling is the primary home for foundation prompts, modes, and reusable agent commands before you reach feature-specific frontend or backend shelves.
How it compares
Multi-plugin agent lab marketplace with two MCP servers, not a single Superpowers-style methodology skill.
Common Questions / FAQ
Who is Otolab for?
Claude Code users assembling a richer agent environment with shared prompts, documentation search, scripts, and optional COEIROINK voice output.
When should I use Otolab?
Use it during active build work when you want standardized agent modes plus MCP-backed doc retrieval and reusable development recipes in one marketplace.
How do I add Otolab to my agent?
Add the Otolab/ai-agent-prompts marketplace to Claude Code, install the five plugins you need, and configure search-docs and coeiro-operator MCP endpoints per plugin docs.