Cohere API for enterprise NLP — embeddings, reranking, RAG, and text generation. Use when building RAG pipelines, semantic search, document reranking, or enterprise NLP applications. Command R+ excels at tool use and retrieval-augmented generation; Embed v3 and Rerank 3 are best-in-class for search quality.
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。
Protect and accelerate websites with Cloudflare. Use when a user asks to add CDN, DDoS protection, DNS management, SSL, WAF, or edge computing to a website or API.
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。
Run Codex CLI, Claude Code, or other coding agents as background processes for programmatic control. Use when a user asks to run a coding agent, delegate a task to another AI, spawn a sub-agent, run Claude Code in the background, or orchestrate multiple coding agents on separate tasks.
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。
CodeRabbit reviews pull requests with AI on GitHub, GitLab, Azure DevOps and Bitbucket, and reviews local changes from a CLI before they are pushed. Use when a user asks to set up automated PR reviews, write or validate a .coderabbit.yaml, add path-specific review instructions, control a review with @coderabbitai commands, or run coderabbit review from the terminal or a coding agent.
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。
You are an expert in Cline, the autonomous AI coding agent for VS Code that can read files, write code, run terminal commands, and use the browser — with human-in-the-loop approval at each step. You help developers use Cline for complex multi-file refactoring, feature implementation, debugging, and codebase exploration where the AI plans and executes while the developer reviews and approves.
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 comprehensive documentation for undocumented or poorly documented codebases. Use when a user asks to document code, add JSDoc/docstrings, create README files, generate architecture docs, explain what a codebase does, produce onboarding guides, or document internal APIs. Works with any language.
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。
Builds command-line tools in Go with Cobra, the library behind kubectl, Hugo and the GitHub CLI: subcommands, flags, argument validation, generated help and shell completions. Use when a user asks to create a Go CLI, add subcommands or flags, validate arguments, bind flags to config files and environment variables with Viper, or generate bash, zsh, fish or PowerShell completions.
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。
Cloudflare Workers is an edge computing platform for running JavaScript, TypeScript, and WebAssembly close to users worldwide with sub-millisecond cold starts. Use when working with the Workers runtime, the Wrangler CLI, KV, D1, R2, Durable Objects, Queues, or Hyperdrive, or when a user asks to build and deploy an edge function.
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。
You are an expert in Cloudflare Workers AI, the serverless AI inference platform running on Cloudflare's global network. You help developers run LLMs, embedding models, image generation, speech-to-text, and translation models at the edge with zero cold starts, pay-per-use pricing, and integration with Workers, Pages, and Vectorize — enabling AI features without managing GPU infrastructure.
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。
Manage images and videos with Cloudinary. Use when a user asks to optimize images, add image transformations, implement responsive images, upload media, or serve optimized assets from a CDN.
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。
Measures cyclomatic complexity, cognitive complexity, and function length across codebases to identify maintenance hotspots. Use when someone asks about code complexity, function length analysis, maintainability metrics, or needs to find the most complex parts of their codebase. Trigger words: complexity, cyclomatic, cognitive complexity, long functions, hotspots, maintainability index, code metrics.
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。
Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis.
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。
Clerk is a hosted authentication and user-management service with drop-in UI components, social login, email/password, organizations, RBAC and webhooks. Use when adding sign-in to Next.js, React, or Express apps, protecting routes with clerkMiddleware, setting up multi-tenant organizations and roles, or syncing Clerk users to your own database.
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。
Perform thorough code reviews with actionable, prioritized feedback. Use when a user asks to review code, check code quality, find bugs, review a pull request, audit code for issues, or get feedback on implementation. Covers correctness, security, performance, readability, and best practices across languages.
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。
ClearML is an open-source MLOps platform that records machine-learning experiments, versions datasets, chains tasks into pipelines and runs them on remote machines through agents and queues. Use when a user asks to "track experiments with ClearML", "log metrics, artifacts and models", "version a dataset", "run training on a remote GPU with clearml-agent", "build a ClearML pipeline", "run hyperparameter optimization", or "self-host ClearML Server". Covers the clearml 2.x Python SDK, clearml-agent 3.x and ClearML Server 2.x.
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。
You are an expert in Clay, the data enrichment and outbound sales platform that pulls from 75+ data providers to build rich prospect profiles. You help teams automate lead discovery, enrich contacts with firmographic and technographic data, score leads against ICP criteria, and trigger personalized outreach sequences — replacing manual research with automated, data-driven prospecting.
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。
Add persistent memory to Claude Code that survives across sessions. Use when: maintaining continuity across Claude Code sessions, building agents with persistent project memory, avoiding repeated context setup. Covers claude-mem (AI-compressed session logs) and Claude Subconscious (Letta-based background agent).
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。
Claude computer use is an Anthropic API tool that lets Claude see a desktop through screenshots and operate it with mouse and keyboard. Use when automating GUI workflows, browser automation without CSS selectors, desktop app testing, or any task that requires seeing and interacting with a graphical interface.
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 software with Claude Code, the AI-powered CLI coding agent. Use when a user asks to set up Claude Code, configure CLAUDE.md project files, use slash commands, manage permissions, create hooks, or optimize agentic coding workflows.
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。
Define component variants with CVA. Use when creating variant-based components with Tailwind, building design system tokens, or managing complex conditional class names in React.
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 heads-up display (HUD) dashboards for AI coding agents — show context usage, active tools, running sub-agents, and task progress in real-time. Use when: monitoring AI agent activity, building developer tools for AI-assisted coding, creating status dashboards for agent workflows.
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 and optimize CI/CD pipelines for GitLab CI and CircleCI. Use when a user asks to set up GitLab CI, create a CircleCI pipeline, build a CI pipeline for GitLab, automate deployments with CircleCI, add test automation to GitLab, or configure continuous integration on non-GitHub platforms. For GitHub Actions pipelines, use the github-actions skill instead.
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。
Chromatic is a visual testing service from the Storybook team that snapshots every story in a cloud browser and shows visual diffs for review on each pull request. Use when the user wants visual regression testing with Storybook, or mentions "chromatic," "visual regression," "Storybook testing," "UI review," "visual diff," or "component snapshot testing." For general screenshot comparison, see percy.
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。
Assists with storing, searching, and managing vector embeddings using ChromaDB. Use when building RAG pipelines, semantic search engines, or recommendation systems. Trigger words: chromadb, chroma, vector database, embeddings, semantic search, similarity search, vector store, rag.
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。