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Found 13,114 Skills
Use when creating specialized subagents for Claude Code plugins or the Task tool - covers description writing for auto-delegation, tool selection, prompt structure, and testing agents
Creates and orchestrates multi-agent pipelines on the iii engine. Use when building AI agent collaboration, agent orchestration, research/review/synthesis chains, or any system where specialized agents hand off work through queues and shared state.
Comprehensive guide to why and how AI agents should use email. Use when evaluating whether an agent needs email, comparing email infrastructure options (AgentMail vs Gmail API vs Resend vs SendGrid vs SES), understanding security risks like prompt injection via email and OAuth credential exposure, or exploring common agent email use cases such as customer support agents, sales outreach, verification flows, and browser automation.
Discover, create, update, archive, and assign work to Multica agents. Also covers attaching workspace skills to an agent and inspecting an agent's task history. Use when the user asks which agents exist, who can do X, wants to spin up a new agent, change its model or instructions, or hand a task off to a managed agent.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Official Dailybot agent skill pack — report progress, check messages, send emails, and announce agent status. Routes to the right sub-skill based on intent. Use when the developer mentions Dailybot or wants to interact with their team.
Agent simulation and GEO simulation prompt generation for AI visibility auditing. Use when the user wants to create simulation tasks via the TPC CLI, generate unbranded GEO prompts to test whether AI recommends a product, or run agent simulations.
Browser automation CLI for AI agents. Use when the user needs to inspect, test, or automate browser behavior: navigating pages, filling forms, clicking buttons, taking screenshots, extracting page data, testing web apps, dogfooding Open Design previews, QA, bug hunts, or reviewing app quality. Prefer local Open Design preview URLs unless the user explicitly asks for external browsing.
Deploy and manage a self-hosted email client with AI agent on Cloudflare Workers
Integrates a Flows/Dune app with the Fusion built-in PAIA agent panel using @cognite/app-sdk. Use this skill whenever a developer wants to: open the agent panel from their app, send the agent a contextual message, let the agent read app state (resources), or let the agent call actions in the app. Triggers: "fusion agent", "PAIA", "agent panel", "sendAgentMessage", "sendAgentLayoutMode", "agent server", "registerAgentServer", "connectToHostApp", "agent integration", "agent sidebar", "app-sdk agent". Always use this skill instead of manually writing agent integration code — it sets up the correct lifecycle, graceful fallback, and recommended file structure.
Create and configure configs in LaunchDarkly. Helps you choose between agent vs completion mode, create the config, add variations with models and prompts, and verify the setup.
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.