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Found 13,320 Skills
Advanced and operational chat.agent capabilities for Trigger.dev, loaded on demand. Load this when working on the raw Sessions primitive (sessions / SessionHandle), a custom chat transport or the realtime wire protocol, durable sub-agents (AgentChat, chat.stream.writer), human-in-the-loop, steering, actions, background injection (chat.defer / chat.inject), fast starts (preload, Head Start via @trigger.dev/sdk/chat-server), context resilience (compaction, recovery boot, OOM, large payloads), chat.local run-scoped state, offline testing with mockChatAgent, or prerelease/version upgrades. For the everyday chat.agent({...}) definition and the useTriggerChatTransport happy path, use the trigger-authoring-chat-agent skill instead.
Print a summary of the Cyrus setup and offer to start the agent.
新規スキルを skills/<name>/SKILL.md として scaffold する。命名・配置の重複確認、SKILL.md 作成、 symlink 設定、品質チェック、CLAUDE.md 反映までを一貫して自動化。「スキル作って」「新しいスキルを追加」 「create-skill」などで使用。Agent 定義の追加は create-agent、ドキュメント更新は update-docs を参照。
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server, or any request/response workload that risks timing out on short, lambda-style serverless functions — and wants it to branch with their database. Triggers include "serverless function", "deploy an API", "long-running function", "streaming agent", "SSE server", "WebSocket server", "webhook handler", "MCP server", "run code next to my database", "function that won't time out", "function logs", "Neon Functions", and "Neon Compute".
AE Agent system administration CLI for root and agent administrators. Use when the user asks to manage Agent members, sandboxes and shared tools, company model visibility/defaults/pricing, usage statistics and exports, cost quotas, balance alerts, or IM channels. Must use ae-cli system commands, discover real IDs before writes, and never attempt to bypass a permission denial.
Build AI agents with structured access to Sanity content via Sanity Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity content, or adding client-side tools to an agent. Covers Studio setup, agent implementation, and advanced patterns. Always use this skill when users mention building a chatbot with Sanity, creating an AI assistant for their content, setting up the Sanity Context MCP server, integrating Sanity with Claude/GPT/any LLM, making content searchable by AI, implementing semantic search over Sanity data, or connecting their CMS to an AI agent.
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.
Persist gotchas, preferences, or a repeated workflow from recorded agent history into AGENTS.md or a new skill. Use when the user asks to extract lessons from past sessions or turn prior agent work into a skill.
Read this BEFORE launching any subagent (Task tool, background agents, parallel agents, best-of-N, delegating work to another agent). Hard model rules for subagents plus consensus principles for using them well. Triggers: launch a subagent, spawn agents, run agents in parallel, delegate to a subagent.
Designs, deepens, and hardens TypeScript codebase architecture in three modes: folder structures, module contracts, and middleware pipelines for a new app; domain-informed deepening of existing code; and the guardrail tooling, CI gates, and wayfinding that stop a structure decaying. Use when setting up project structure, organizing a monorepo, designing backend modules, writing an architecture brief, recovering domain terminology, recording an architecture decision, or asking "how should I structure this app", "find architecture improvements", "this module is a mess", "make this codebase agent-friendly", "set up guardrails for coding agents", "add a dead-code check", or "my agent can't find anything in this repo". For scaffolding a new repo use scaffold-nextjs or scaffold-cli, for multi-tenant isolation use multi-tenant-architecture, for the AGENTS.md file's own content use agents-md, and for review of a local diff use pr-reviewer.
Official LottieFiles motion design principles — timing curves, easing, choreography, Disney's 12 principles adapted for UI. Implementation-agnostic: works with CSS, GSAP, Framer Motion, Lottie. Supports 40+ agents.
Skill Installation Manager — Automatically reads skill list files, compares them with currently globally installed skills, identifies uninstalled or updatable skills, and performs one-click installation/update. Supports three-level fallback: HTTPS → SSH → direct fetch via MCP/GitHub API. Install using the `npx skills` command as a Global installation, specifying the three Agents: Reasonix / Claude Code / OpenCode. Be sure to use this skill whenever users mention any requirements related to skill installation and management, such as "check skills", "sync skills", "install skills", "skill management", "skill update", "skill sync", "batch installation", "missing skills", etc.