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Seoul Subway assistant for real-time arrivals, route planning, and service alerts (Korean/English)

Sequelize Model Creator - Auto-activating skill for Backend Development.\nTriggers on: sequelize model creator, sequelize model creator\nPart of the Backend Development skill category.

Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

This skill provides symbol-level code understanding and navigation using Language Server Protocol (LSP). Enables IDE-like capabilities for finding symbols, tracking references, and making precise code edits at the symbol level.

Run SerpAPI searches via SerpAPI's MCP server using mcporter. Use when the user asks to search the web with SerpAPI/SerpAPI MCP, wants SerpAPI inside Clawdbot, or to use the /serp command.

This skill should be used when the user asks about \

This skill should be used when the user asks about \

Comprehensive server health monitoring showing system stats, top processes, OpenClaw gateway status, and running services. Perfect for quick health checks via Telegram or CLI.

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

Server Sent Events Setup - Auto-activating skill for API Integration.\nTriggers on: server sent events setup, server sent events setup\nPart of the API Integration skill category.

Server-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.

Search and retrieve ServiceNow documentation, release notes, and developer docs (APIs, references, guides). Uses docs.servicenow.com via Zoomin and developer.servicenow.com APIs for developer topics.

Service layer patterns with createTaggedError, namespace exports, and Result types. Use when creating new services, defining domain-specific errors, or understanding the service architecture.

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8),

This skill should be used when the user asks to \

Use when working on or reviewing session execution, command handling, shell state, FIFO-based streaming, or stdout/stderr separation. Relevant for session.ts, command handlers, exec/execStream, or anything involving shell process management. (project)

Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state',

Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON

Search and analyze your own session logs (older/parent conversations) using jq.

Context preservation, tiered summarization, resumability

Persistent memory toolkit for AI agents. Save context, recall insights, track decisions across sessions.

For CLI agents WITHOUT subagent support (e.g., Codex CLI). Search previous code agent sessions for specific work, decisions, or code patterns.

Validate session security checker operations. Auto-activating skill for Security Fundamentals.\nTriggers on: session security checker, session security checker\nPart of the Security Fundamentals skill category. Use when working with session security checker functionality.

Share Claude Code sessions between developers. Use when user mentions \

Generate breadcrumb headers/footers with takt time tracking and muda metrics

This skill should be used when the user asks to \

Implement machine learning experiment tracking using MLflow or Weights u0026 Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to \

This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk. It generates production-ready configurations and setup code based on specific requirements and infrastructure. Use this skill when the user requests to set up logging

This skill automates the setup of synthetic monitoring for applications. It allows Claude to proactively track performance and availability by configuring uptime, transaction, and API monitoring. Use this skill when the user requests to \

Sets up a Mac for ButterCut. Installs all required dependencies (Homebrew, Ruby, Python, FFmpeg, WhisperX). Use when user says \

Install build and extraction tools needed for building Claude Desktop Debian packages

Download iPlug2 dependencies including plugin format SDKs (VST3, CLAP, WAM) and optional Skia graphics backend libraries

Set up and configure Geoffrey Huntley's original Ralph Wiggum autonomous coding loop in any directory with proper structure, prompts, and backpressure.

Set up Storybook for React Native in Expo, React Native CLI, or Re.Pack projects. Use when adding Storybook to a project, configuring metro.config.js with withStorybook, creating .rnstorybook configuration files, setting up Storybook routes in Expo Router, configuring

Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table.\n\n**Trigger when user asks to:**\n-

Install and configure ToolUniverse with MCP integration for any AI coding client (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, Antigravity, OpenCode, etc.). Covers uv/uvx setup, MCP configuration, API key walkthrough, skill installation, and

How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzig_sexp), and the invariants around parsing, formatting, and freeing.

Generate an Xcode SF Symbol asset catalog .symbolset from an SVG. Use when you need to add a custom SF Symbol (build-time) by creating the symbolset folder, Contents.json, and SVG file.

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA,

UI components with shadcn-svelte and bits-ui. Component patterns, trigger snippets,\ndialog handling, and accessibility.\nKeywords: shadcn-svelte, bits-ui, Button, Dialog, Sheet, Popover, DropdownMenu,\nTooltip, Form, Input, Select, child snippet, trigger pattern, cn utility

shadcn/ui component patterns for Next.js 16 applications. This skill should be used when adding UI components, customizing component styles, composing primitives, or integrating forms with react-hook-form. Covers installation, customization, composition patterns, and

UI component conventions for 8-bit styled components. Use when working with shadcn/ui components or implementing retro-styled UI elements.

Install and configure Shadcn/ui component library with Radix UI primitives, Aceternity UI effects, set up components, and manage the component registry. Use when adding Shadcn/ui to a Next.js project or installing specific UI components for Phase 2.

Build and maintain the shadcn-vue-admin Vue 3 + Vite + TypeScript admin dashboard with shadcn-vue, Tailwind, Pinia, Vue Router, i18n, and TanStack Query. Use for UI/layout changes, page additions, routing updates, theme/auth work, and component integration in this repo.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models,

Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates

Use this methodology when collaboratively shaping a solution with the user - iterating on problem definition (requirements) and solution options (shapes).