Complete guide to configuring and customizing tooltips in Chart.js.

Create simple, responsive charts quickly with Chart.js

Create and manage Mermaid architecture diagrams with automatic SVG generation

Interactive developer assistant with tool access for codebase exploration

Generate inline chat cards using DaisyUI components for user interactions. Use when creating interactive UI elements within a chat interface that require user input, confirmation, or selection. Supports affirmative/negative responses, multiple choice (radio), multiple select (checkbox), and content preview with feedback patterns.

Extract and organize Claude Code session history into project .chats directory. Use when users want to document their Claude sessions, export conversation inputs, or maintain a log of instructions given to Claude.

Navegação e teste conversacional de aplicações web usando Chrome DevTools. Permite testar sites através de comandos naturais em português, com suporte a contexto do Neo4j e integração automática com hooks de validação.

Generate quick, effective responses for chat and messaging platforms

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

Design conversational AI chatbots with optimal flows and user experience

Creates a **production-ready ChatGPT-style chatbot widget** with advanced features:

Guidance for building the chatgpt-app (Vite + React + @openai/apps-sdk-ui) with the MCP-friendly single-file output.

Implements interactive widget actions and bidirectional communication patterns for ChatKit. This skill should be used when building AI-driven interactive UIs with buttons, forms, entity tagging (@mentions), composer tools, and server-handled widget actions. Covers the full widget lifecycle from creation to replacement.

Build production-ready chat UI with OpenAI ChatKit React components. Handles ChatKit installation, useChatKit hook configuration, theming, streaming display, conversation sidebar, and rich widgets. Use when implementing chat interface, migrating from custom UI to ChatKit, or adding AI chat features for Phase 3.

Foundation skill for integrating OpenAI ChatKit framework with custom backends. This skill should be used for initial ChatKit setup including server implementation, React component integration, authentication, context injection, and database persistence. For streaming UI patterns use chatkit-streaming. For interactive widgets and actions use chatkit-actions.

Integrate OpenAI ChatKit framework with custom backend and AI agents. Handles ChatKit server implementation, React component integration, context injection, and conversation persistence.

Implements real-time streaming UI patterns for ChatKit applications. This skill should be used when adding response lifecycle management, progress indicators, client effects, and thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and thread lifecycle events.

Production-ready OpenAI ChatKit conversational UI skill for integrating AI chat interface into Todo app dashboard. Handles conversation state, message rendering, and backend communication.

Chatwoot customer support API via curl. Use this skill to manage contacts, conversations, and messages for multi-channel customer support.

Quick reference cheatsheets for Kailash SDK patterns, nodes, workflows, and best practices. Use when asking about 'quick tips', 'cheat sheet', 'quick reference', 'common mistakes', 'node selection', 'workflow patterns library', 'cycle patterns', 'production patterns', 'performance optimization', 'monitoring', 'security config', 'multi-tenancy', 'distributed transactions', 'saga pattern', 'custom nodes', 'PythonCode data science', 'ollama integration', 'directoryreader patterns', or 'environment variables'.

Check currently firing Grafana alerts, analyze alert status, and investigate alert issues in the Kagenti platform

Apply type-safe bounds checking patterns using Index/Length types instead of usize. Use when working with arrays, buffers, cursors, viewports, or any code that handles indices and lengths.

Check CI build status, PR checks, and pull request build results

Run comprehensive Rust code quality checks including compilation, linting, documentation, and tests. Use after completing code changes and before creating commits.

Check for pending Codex (GitHub AI) feedback on current branch's PR. Use to review and address AI suggestions before merge. This is the rate-limiting step before merge.

Find concurrency issues including race conditions, deadlocks, unsafe shared state, and improper synchronization

Verify feature requests align with project constitutional principles - applies decision framework systematically and provides clear align/reject/revise recommendation with detailed reasoning

Validate and verify dependencies are available and compatible. Use when setting up environments.

Check if recent changes need documentation updates and suggest which docs to update.

Verify that hl_lines attributes in markdown code blocks correctly highlight the intended lines. Use when reviewing documentation with code examples, especially Before/After comparisons, or when highlights seem incorrect.

Comprehensive health check for hooks - detects import errors, runtime failures, performance issues, and provides auto-fix suggestions

**Goal:** Ensure PRD, UX, Architecture, and Epics/Stories are aligned and ready

Review inline code in markdown files for proper formatting and syntax highlighting. Check for missing backticks on CLI flags, filenames, and code elements. Verify that inline syntax highlighting (#!groovy) is used appropriately. Use when reviewing documentation or quiz questions.

Analyze live weather station integrations, validate data sources, and identify spots missing live conditions

Query and analyze logs using Grafana Loki for the Kagenti platform, search for errors, and investigate issues

Query Prometheus metrics, check resource usage, and analyze platform performance in the Kagenti platform

Scans codebase for accidentally committed secrets, credentials, API keys, and sensitive data to prevent security breaches

Check pull requests for documentation updates and compliance

Homeostatic sensor detecting requirements without implementation or test coverage. Scans for REQ-* keys in requirements docs and checks if they have corresponding code and tests. Use to find coverage gaps.

Scan the codebase for potential secret leaks before commits.

Validates development tool installations across Python, Node.js, Java, Go, Rust, C/C++, Git, and system utilities. Use when verifying environments or troubleshooting dependencies.

Verify required Ushabti files exist before proceeding. Use when starting agent work to ensure prerequisites are met.

Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data

Validate Kubernetes, Terraform, Helm, GitHub Actions, and Docker configs.

Use when you need to check, verify, validate or understand code or structure of a file (often code related files or markdown) - automatically detects file type, finds appropriate LSP/linter in mise, and runs validation

Evaluates Claude skills against official best practices from Anthropic documentation. Use when reviewing skill quality, ensuring compliance with guidelines, or improving existing skills.

<user_command>/kata:check-todos</user_command>

Generate context-aware quality checklists for code review and QA using IEEE 1028 base standards plus LLM contextual additions

Manage user approval checkpoints with proper waiting and flag creation

**You are an autonomous agent. You make decisions. You do not ask questions. You do not stop.**