flowchart-generator
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
Find the perfect capability for your agent.
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
This skill should be used when users need to create, configure, or render Quarto documents (.qmd files). Use this skill for generating reports, analysis documents, or presentations with HTML or Typst output formats, integrating code chunks (Python, R, Stata), and troubleshooting rendering issues.
UTF-8 JSON file I/O utilities to avoid Windows encoding issues (CP-1252 vs UTF-8)
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applications.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Check OpenAI Codex CLI rate limit status (daily/weekly quotas) using local session logs. Portable Python script.
Working with Claude Code features, debugging hooks, MCP integration, snippet verification, headless automation, and Agent SDK. Use this skill when the user asks about Claude Code features, hooks, memory, statusline, debugging, MCP servers, headless use patterns, CI/CD automation, Python/TypeScript Agent SDK, or building custom agents.
Guide for building MCP (Model Context Protocol) servers that integrate external APIs/services with LLMs. Covers Python (FastMCP) and TypeScript (MCP SDK) implementations.
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI), creates feature-list.json with priorities, initializes .claude/progress/ tracking.
Toolkit for AI agents to debug Python code autonomously without IDE support. Use when agent needs to debug code, insert breakpoints programmatically, analyze execution state, test hypotheses, or automate debugging workflows. Supports pdb, ipdb, debugpy with programmatic breakpoint insertion, conditional breakpoints, AST-based breakpoint suggestions, and automated debugging workflows for agents.
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI codebases.
Generate comprehensive GitHub ecosystem configuration including CI/CD workflows, issue templates, PR templates, CODEOWNERS, dependabot, and Copilot instructions. Language-agnostic with Python, Go, and TypeScript support. Auto-detects project language from pyproject.toml, go.mod, or package.json. Use when setting up GitHub repos, adding CI/CD pipelines, creating issue/PR templates, configuring dependabot, adding CODEOWNERS, setting up Copilot instructions, or enhancing existing projects with GitHub tooling. Works on new or existing repositories with smart merging.