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Found 6,583 Skills
Mission control Kanban board for managing and supervising autonomous Hermes Agent tasks
Integrate Hermes Agent as a managed AI employee in Paperclip companies with full tool access, persistent memory, and skill sync
Feishu Real-time Event Subscription (WebSocket). Use `event list` to view supported EventKeys; `event schema` to check event payload/scope; `event consume` to start long-connection subscription, where event streams are written to stdout in NDJSON format (blocking, one process subscribes to one EventKey); `event status` to view active local consume processes; `event stop` to terminate consume processes by PID / EventKey / --all. Supports over 22 EventKeys (including IM message receive/read/recall/reaction, group member changes, contact employee changes, calendar changes, cloud disk title/collaborator changes, approval instances and tasks, VC meeting start/end). Status files: ~/.feishu-cli/events/<app_id>/bus.json + flock file lock + WebSocket auto-reconnect. This skill is applicable when users request "listen to Feishu events", "real-time message event reception", "approval callback subscription", "event stream", "WebSocket long-connection listening", "event consume", "event list / schema / status / stop", "AI Agent bot real-time response". Note: This skill only handles subscription; for event webhook business logic (pushing to Feishu messages/writing to multidimensional tables), please use with feishu-cli-msg / feishu-cli-bitable.
CLI tool for developing, deploying, and managing Microsoft Agent 365 applications with Azure integration and MCP server support.
Elastic ML anomaly detection skill — investigation/RCA, score explanation, job operations (create, datafeed, start/stop, results), and troubleshooting (missing docs, memory limits, datafeed health, lifecycle). Operates against Kibana Agent Builder MCP tools (`ad_*`) on `.ml-anomalies-*`, `.ml-config`, `.ml-notifications-*`, `.ml-annotations-*`. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit", or any request to set up or configure an ML anomaly detection job.
Reusable pattern for presenting the user with explicit choices and gating execution until they respond. Used by other skills when a decision point requires human input before proceeding. Platform-agnostic — works on Telegram (inline buttons), Discord, CLI, or any agent with a message tool.
Build agentic UIs using AG-UI protocol with Pydantic AI (Python backend) and CopilotKit (React/Next.js frontend). Use when creating AI-powered applications that need bidirectional agent-UI communication, shared state between frontend and backend, human-in-the-loop workflows, tool-based generative UI, or predictive state updates. Triggers on requests involving CopilotKit hooks (useCoAgent, useCopilotAction, useCoAgentStateRender), pydantic_ai with ag_ui adapters, or building chat interfaces with backend AI agents.
Deep Agents framework — architectural decisions (when to use Deep Agents vs alternatives, backend strategies, subagent design, middleware approaches) AND code review (bugs, anti-patterns, improvements when reviewing Deep Agents code). Use when working with Deep Agents — designing a new system or reviewing existing code.
Export and import agent configurations for sharing and backup
Build and interact with Elephant Agent, a self-evolving personal AI that grows a Personal Model and manages long-running Paths
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples
Extend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness — currently Code Mode, which collapses many tool calls into one sandboxed Python execution. Use when the user mentions pydantic-ai-harness, CodeMode, Monty, code mode, or tool sandboxing, when they want an agent to run agent-written Python, or when a Pydantic AI agent would benefit from orchestrating multiple tool calls in a single sandboxed script.