Agents
AI agents and automation
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.
nemoclaw-maintainer-policies
by NVIDIA
"Answer NemoClaw maintainer policy questions about triage, labels, Project fields, releases, or competing contributions. Read-only."
ai-sdk
by vercel
'Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".'
hello-greeter
by coder
Fixture skill from the hello-plugin Agent Plugin; greets the user by name.
connector-review
by open-metadata
Review an OpenMetadata connector against golden standards. Runs multi-agent analysis covering architecture, code quality, type safety, testing, and performance. When a PR number is given, automatically posts the quality summary to the PR description and a detailed review as a PR comment.
1k-ui-verify
by OneKeyHQ
Drive OneKey desktop or mobile apps to verify real visual and interactive behavior using CDP/Playwright or agent-device. Use for UI 验证 or screenshot confirmation.
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.
agent-builder
by n8n-io
Load before calling build-agent for a new or existing n8n Agent. Governs prerequisite creation, faithful handoff of the user's request, agent targeting across turns, builder questions, testing, and publishing. Use directly for routine follow-ups when the conversation already targets an Agent; rerun intent-recognition only when the requested artifact is no longer clear.
n8n:create-skill
by n8n-io
Guides users through creating effective Agent Skills. Use when you want to create, write, or author a new skill, or asks about skill structure, best practices, or SKILL.md format.
debugging-executions
by n8n-io
Debug failed or wrong-output workflow executions using executions tools. Load when the user reports execution failures, unexpected node output, empty parameter values after a successful run, or a node showing a red or failed expression error.
config-evals
by n8n-io
Builds and maintains configuration-based evaluations on a workflow with the eval-config tool. Use when the user asks to set up, add, view, change, or remove an evaluation, score, grade, or judge a workflow's output, or measure answer quality against a test dataset. This is the only eval form Instance AI handles — it does not touch on-canvas evaluation nodes.
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."
dev-desktop-sandbox
by coder
Run isolated mux desktop (Electron) instances (temp MUX_ROOT + free ports)
1k-group-think
by OneKeyHQ
Spawns a team of 3 AI agents with different analytical perspectives to collaboratively analyze a problem, propose solutions, and debate trade-offs. Use when facing bugs, design decisions, architecture choices, or any task that benefits from multiple viewpoints. Agents discuss with each other, then present a comparison table for the user to decide. Triggers on "group think", "multi-agent", "team analysis", "3 agents", "collaborative analysis", "debate solutions".
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.
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.'
agent-builder
by shareAI-lab
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration