7. Writing & Documentation

Creates a technical implementation plan document for coding tasks and writes it to a file.

Automates drafting of legal public deeds (sales, donations, powers) by dynamically assembling clauses based on act type and party conditions, including number-to-words conversion.

Creates structured Medium article drafts with title variations, problem/solution framing, and SEO-optimized content based on user input.

Generates structured task plans from requirements specifications, ensuring clear implementation strategy before code development.

Creates professional, context-aware email and WhatsApp messages for notarial clients based on workflow status, with adaptable tone.

Creates structured character profiles for novel writing in Markdown, including appearance, personality, backstory, and relationships.

Intelligently loads and caches project-specific technical documentation based on user intent and context, eliminating manual search for relevant resources.

Assists in creating, editing, and verifying Claude skills to ensure proper documentation and functionality before deployment.

Generates standardized specification documents (spec.md) from brainstorming sessions to ensure planning phase consistency.

Quickly checks documentation files for frontmatter and basic formatting errors to catch issues early in the writing process.

Validates documentation files against project standards, checking frontmatter, markdown formatting, links, and content structure for consistency and quality.

Provides a tree view of documentation structure, displaying titles, categories, and order to understand organization or plan new content.

Assists in writing skill content, verifying effectiveness, and testing compliance via Test-Driven Development (TDD).

Automates adding or correcting YAML frontmatter in documentation files, ensuring required fields are present and valid for consistent documentation structure.

Enterprise documentation framework for Next.js, enabling creation of structured documentation sites, knowledge bases, and API references.

Produces step-by-step implementation plans from requirements to guide development before coding begins.

Optimizes documentation structure to enhance AI agent navigation and information retrieval efficiency.

Automates creation and updating of table of contents in markdown documentation files using header structure.

Generates new documentation files with standardized YAML frontmatter and structure for guides, API references, and tutorials.

Searches technical documentation by content, title, category, or tags for rapid information retrieval.

Generates structured documentation templates with frontmatter and standard structure for common document types.

Offers practical examples for MCP tool implementation, serving as a quick reference guide during development.

Creates structured specification documents for quantitative research in systematic trading, including hypotheses, data requirements, and implementation tasks.

Template for defining skill functionality, triggers, and user keywords like 'create' or 'generate'.