Agents
AI agents and automation
create-agent
by microsoft
'Create a custom agent (.agent.md) for a specific job.'
create-skill
by microsoft
'Create a reusable skill (SKILL.md) that packages a workflow.'
create-hook
by microsoft
'Create a hook (.json) to enforce policy or automate agent lifecycle events.'
create-instructions
by microsoft
'Create an instructions file (.instructions.md) for a project rule or convention.'
agent-customization
by microsoft
'WORKFLOW SKILL — Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MCP docs directly); VS Code extension development. INVOKES: file system tools (read/write customization files), ask-questions tool (interview user for requirements), subagents for codebase exploration. FOR SINGLE OPERATIONS: For quick YAML frontmatter fixes or creating a single file from a known pattern, edit the file directly — no skill needed.'
building-ai-agent-on-cloudflare
by cloudflare
Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling".
workflow-init
by vercel
Install and configure Vercel Workflow SDK before it exists in node_modules. Use when the user asks to "install workflow", "set up workflow", "add durable workflows", "configure workflow sdk", or "init workflow" for Next.js, Express, Hono, Fastify, NestJS, Nitro, Nuxt, Astro, SvelteKit, or Vite.
lark-event
by larksuite
"Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via lark-cli event consume <EventKey> (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports --max-events / --timeout bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses."
lark-whiteboard
by larksuite
飞书画板：查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责：飞书云文档内容编辑（lark-doc）、文档内嵌电子表格/Base（lark-sheets / lark-base）。
lark-vc-agent
by larksuite
"仅当用户或上游配置显式指定 lark-vc-agent 时使用，相关请求统一交由 lark-meeting 技能处理。"
evaluations
by langwatch
Compatibility router for LangWatch evaluation requests. Use only when the user asks for evaluations without making it clear whether they mean pre-deployment experiments or production online evaluations. Routes the request to the focused companion skill and does not implement either workflow itself.
trigger-cost-savings
by triggerdotdev
Analyze Trigger.dev tasks, schedules, and runs for cost optimization opportunities. Use when asked to reduce spend, optimize costs, audit usage, right-size machines, or review task efficiency. Combines static source analysis with live run analysis via the Trigger.dev MCP tools (list_runs, get_run_details, get_current_worker).
trigger-chat-agent-advanced
by triggerdotdev
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.
trigger-authoring-chat-agent
by triggerdotdev
Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.
task-agent-eliza-bridge
by elizaOS
"Use when spawning a Claude Code, Codex, Gemini, Aider, or other CLI task agent whose work needs parent Eliza runtime context. Covers the read-only loopback bridge for character, room, memory, and active workspace state."
eliza-app-development
by elizaOS
"Use when building or changing an elizaOS-based application in this repository. Covers eliza app architecture, monorepo layout, local versus remote versus cloud routing, where to edit features, and non-negotiable runtime constraints. Eliza is the product name of this particular eliza app checkout."
eliza
by elizaOS
"Use for spawned coding/task agents working on the Eliza app or asking what the running Eliza agent can do. Covers the repo CWD, default skill loading and overrides, child-to-parent USE_SKILL calls, parent runtime context APIs, plugin loading/building, Cloud app/payment/domain/media capabilities, and how workers can ask the parent agent to use loaded capabilities."
search-strategy
by anthropics
Query decomposition and multi-source search orchestration. Breaks natural language questions into targeted searches per source, translates queries into source-specific syntax, ranks results by relevance, and handles ambiguity and fallback strategies.
source-management
by anthropics
Manages connected MCP sources for enterprise search. Detects available sources, guides users to connect new ones, handles source priority ordering, and manages rate limiting awareness.
memory-management
by anthropics
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
agentscope-java
by agentscope-ai
Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.
aero-workflow-automation
by ComposioHQ
"Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas."
abyssale-automation
by ComposioHQ
"Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas."
agent-mail-automation
by ComposioHQ
"Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas."