Coco Inc

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

日本語の概要は準備中です。原文の説明を表示しています。

Use when you have a written implementation plan to execute in a separate session with review checkpoints

日本語の概要は準備中です。原文の説明を表示しています。

Build ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.

日本語の概要は準備中です。原文の説明を表示しています。

Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, or generate context/container/component/deployment diagrams.

日本語の概要は準備中です。原文の説明を表示しています。

Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming. Prevents 11 documented errors. Use when: building agents with tools, voice agents with WebRTC, multi-agent workflows, or troubleshooting MaxTurnsExceededError, tool call failures, reasoning defaults, JSON output leaks.

日本語の概要は準備中です。原文の説明を表示しています。

Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.

日本語の概要は準備中です。原文の説明を表示しています。

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

日本語の概要は準備中です。原文の説明を表示しています。

Use when finished work needs to reach a coco-managed repository (coco-research/coco or similar) — verifies branch state, commits, pushes through the corporate DLP guard only when actually needed, opens a PR against main, waits for CI, and reports the result. Never merges, never pushes to main directly.

日本語の概要は準備中です。原文の説明を表示しています。

Audit token consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast or before adding new components.

日本語の概要は準備中です。原文の説明を表示しています。

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

日本語の概要は準備中です。原文の説明を表示しています。

Use for architecture, current-state, process, data-flow, medallion, or DP diagrams, including redrawing .drawio and Mermaid sources. Creates branded flowchart, sequence, ER, org, timeline, and chart visuals as standalone HTML/SVG/PNG.

日本語の概要は準備中です。原文の説明を表示しています。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

日本語の概要は準備中です。原文の説明を表示しています。

Use after every code change, after writing tests, or before marking a task complete, and when the user says verify, quality gate, or audit code. Runs a 7-category mechanical check for TDZ, import, dead code, and mock leakage bugs.

日本語の概要は準備中です。原文の説明を表示しています。