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Enterprise Notion integration with MCP server architecture, database operations, and content management

Visual content system with Tron-meets-Excalidraw aesthetic.Dark backgrounds, neon accents, hand-drawn sketch style.USE WHEN user wants to create visual content, illustrations, diagrams,mermaid charts, flowcharts, technical diagrams, or infographics.Includes "create a diagram", "visualize this", "draw architecture","make a chart", "do visualization", "simple diagram", "detailed chart".

Creates and tests Pangea Ruby function resources with synthesis testing. Use when creating new resources, writing synthesis tests, generating test coverage for Terraform DSL resources, or filling test gaps for AWS/Cloudflare/Hetzner resources.

Advanced meta-skill for generating complete, production-ready skills for any domain. Use when the user wants to create a new skill, needs help designing a skill, wants to generate specialized skills for specific workflows, or requests "make me a skill for X". Automatically analyzes requirements, designs optimal skill architecture, generates all resources (scripts/references/assets), validates output, and packages distributable .skill files. Handles technical skills (API integrations, file processing), domain expertise skills (finance, legal, medical), workflow skills (multi-step processes), and creative skills (writing, design, content generation).

Property-based testing with clojure.test.check. Use when writing generative tests, creating custom generators, or debugging shrinking behavior. Triggers on test.check imports, prop/for-all, gen/* usage, or questions about property-based testing in Clojure.

Generate unit tests, integration tests, and test fixtures for code. Supports Jest, Mocha, pytest. Use when writing tests or improving test coverage.This skill provides automated test generation:- Unit tests with AAA pattern (Arrange, Act, Assert)- Integration tests for APIs and databases- Test fixtures and mocks- Edge case identification- Test coverage recommendationsTriggers: "generate tests", "create unit test", "add test coverage", "write tests", "テスト生成", "テストコード作成", "カバレッジ向上"

Professional security report generation, executive summaries, finding documentation, and remediation tracking. Use for communicating security assessment results.

Use when user says "update story tree", "show story tree", "show me a map", "story map", "tree diagram", "show stories", "view stories", "list stories", or asks for story visualization or tree status - autonomously maintains hierarchical story backlog by analyzing git commits, identifying under-capacity nodes, and coordinating story generation to fill gaps. Works with SQLite database using closure table pattern, prioritizes shallower nodes first, and tracks implementation status through commit analysis.

Validates Design Phase completion before advancing to Implementation Phase. Checks functional specifications, database design, and UI/UX design for completeness and technical feasibility.

Rust safety patterns and secure coding. Use when writing code that handles untrusted input, uses unsafe blocks, deals with memory safety, or requires security review.

Standards for maintaining high code quality including comments, test coverage, and documentation practices

コードからドキュメントを自動生成するスキル。関数やクラスのJSDoc/TSDocコメント、README、APIリファレンスなどを生成する際に使用します。

Comprehensive pre-deployment validation ensuring code is production-ready. Runs complete audit pipeline, performance benchmarks, security scan, documentation check, and generates deployment checklist.

Python coding standards, best practices, type hints, and testing patterns with uv for package management. Use when writing or reviewing Python code, implementing tests, setting up Python projects, managing dependencies with uv, working with virtual environments, adding type hints, writing pytest tests, or discussing Python language features and best practices.

Search and fetch Microsoft Learn documentation

Multi-format document parsing tools for PDF, DOCX, HTML, and Markdown with support for LlamaParse, Unstructured.io, PyPDF2, PDFPlumber, and python-docx. Use when parsing documents, extracting text from PDFs, processing Word documents, converting HTML to text, extracting tables from documents, building RAG pipelines, chunking documents, or when user mentions document parsing, PDF extraction, DOCX processing, table extraction, OCR, LlamaParse, Unstructured.io, or document ingestion.

Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions, structuring code logic, formatting code with consistent indentation, choosing descriptive names that reveal intent, keeping functions small and focused, removing dead code and unused imports, extracting common logic into reusable functions, maintaining consistent code style across the codebase, configuring linters and formatters, or refactoring code for better readability. Apply this skill universally across all coding tasks to ensure code quality, maintainability, and consistency with project standards. This skill should be active for all file types including TypeScript, JavaScript, Python, Ruby, Java, Go, and other programming languages.

Review all .md files for naming conventions, conciseness, consistency, and completeness. Use when creating or editing any markdown file.

Interpretive guidance for applying markdownlint rules using our opinionated configuration. Use when creating or editing markdown files, configuring markdownlint, troubleshooting linting issues, or reviewing markdown quality.

Expert coding agent for this codebase. Learns from every session to improvecode quality, catch edge cases, and apply proven patterns. Use for ANY codingtask: writing, debugging, refactoring, testing. Accumulates project knowledge.