Documentation

Generate OpenAPI/Swagger documentation with request/response schemas

Extracts and organizes MQL5 articles and documentation. Use when researching MQL5 features, MetaTrader API documentation, Python MT5 integration, or algorithmic trading resources.

Structured plan-writing skill adapted from obra/superpowers. Produces actionable plans that map directly to claude-ctx workflows and tasks.

Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks, automate Notion. PREFLIGHT - requires token from notion.so/my-integrations.

Essential principle for writing clear, testable, maintainable code - separate decisions from effects

Guide for unit testing Vue 3 Composables using Vitest. Use this skill when writing tests for Vue logic to determine the correct testing strategy based on whether the composable is independent, relies on lifecycle hooks (onMounted), or uses dependency injection (provide/inject).

Conventions for package.json, README.md, coding & testing styles

Build Text User Interface (TUI) applications using the Textual Python framework (v0.86.0+). Use when creating terminal-based applications, prototyping card games or interactive CLIs, or when the user mentions Textual, TUI, or terminal UI. Includes comprehensive reference documentation, card game starter template, and styling guides.

Generates clear technical design documents with architecture, trade-offs, and rollout plans.

Use when creating or editing any markdown file (.md) - ensures consistent formatting and zero linting violations through mandatory validation

Token-efficient markdown parsing, editing, and diagram generation using native CLI tools (Windows/Mac/Linux compatible)

Senior AI product strategist who challenges assumptions and pushes back on flawed ideas. Use this skill when planning features, making product decisions, prioritizing AI capabilities, or evaluating competitive positioning. Expert in AI-native product design patterns from Notion AI, GitHub Copilot, and collaborative tools.

This skill generates interactive Causal Loop Diagram (CLD) MicroSims using the vis-network JavaScript library. Use this skill when users need to create causal loop diagrams for systems thinking education, showing feedback loops, reinforcing and balancing dynamics. The skill creates a complete MicroSim package with index.md, main.html, JavaScript, JSON data, and CSS files in the /docs/sims/ directory. This skill should be used when users request creating CLDs, causal diagrams, feedback loop visualizations, or systems thinking diagrams.

Comprehensive feature artifact analysis for loading and understanding complete feature context. Use when needing to: (1) Load all feature documentation before implementation, (2) Build mental model of feature requirements and architecture, (3) Prepare context for downstream operations like checklist generation or task execution, (4) Analyze feature completeness and artifact availability. Triggers on: analyze feature, load feature context, prepare feature, check feature prerequisites, understand feature scope.

Extract text from scanned PDF documents and convert to clean markdown. Use when user asks to transcribe, extract text, OCR, or convert a PDF (especially scanned documents, historical documents, or image-based PDFs) to markdown format. Outputs markdown file saved next to the original PDF.

Use codex web search for technical research, output reports with complete citation links. Focus on key results users care about, minimize irrelevant content.

This skill creates a complete MkDocs Material project structure for intelligent textbooks. It sets up a Conda virtual environment named 'mkdocs', installs all dependencies, generates mkdocs.yml with all Material theme options, custom CSS for branding, the social_override plugin for custom social media cards, builds the site, and deploys to GitHub Pages. Use this skill when starting a new intelligent textbook project.

Web scraping toolkit using MCP scraper tools. Invoked when extracting content from web pages, converting HTML to markdown, extracting plain text, or harvesting links from URLs. Provides four specialized tools for different extraction needs with CSS selector filtering, batch operations, and retry logic.

Critical Ecto and Phoenix guidelines that prevent common bugs and security issues. Use when writing Elixir code that involves Ecto schemas, changesets, queries, associations, or seeds.exs files. Prevents subtle mistakes with field access, validation options, and mass assignment vulnerabilities.

When reading or writing pyproject.toml or .toml config files in Python. When editing TOML while preserving comments and formatting. When designing configuration file format for a Python tool. When code uses tomlkit or tomllib. When implementing atomic config file updates.