7. Writing & Documentation

Creates and manages support documentation including FAQs, knowledge bases, and user guides to improve customer self-service and satisfaction.

Provides a collection of dad jokes for lighthearted responses to user prompts.

Creates comprehensive implementation plans with code examples, file paths, and verification steps for engineers with minimal domain knowledge.

Comprehensive reference guide for 35+ PubMed Search MCP tools, detailing features and functionality.

Assists in writing IEEE-style research papers for power systems and quantum computing, addressing structure, clarity, and academic writing issues.

Step-by-step guide for installing and using MCP Agent Mail across heterogeneous agent tools and virtual machines.

Assists in writing IEEE-style research papers for power systems and quantum computing, addressing structure and common writing issues like verbosity and overclaiming.

Multi-agent system for reviewing academic papers, checking style, logic, and format to eliminate LLM bias.

Generates structured blog content for thebutterrobot.ai using Astro, including daily reflections and weekly plans with proper frontmatter.

Applies proven copywriting frameworks to create compelling marketing content across various channels.

Guides collaborative specification building through iterative Q&A, helping users create production-ready technical blueprints and requirements documents.

Guides on creating clear, comprehensive, and maintainable documentation for code, APIs, and systems.

Creates human-readable text with aligned markdown tables and ASCII diagrams for clear technical documentation and communication.

Guides documentation of Crane smart contracts using NatSpec standards and AsciiDoc include-tags, including custom tag implementation.

Provides best practices for writing Architecture Decision Records (ADRs) to document significant technical decisions with context and rationale.

Provides guidance on documenting Crane smart contracts with NatSpec and AsciiDoc include-tags for structured, readable documentation.

Identifies and highlights inconsistencies, ambiguities, and gaps in software requirement documents to ensure accurate technical specifications.

Creates agent-friendly documentation (AGENTS.md, llms.txt) optimized for seamless AI agent integration and interaction.

Merges requirement-related questions and answers to produce a comprehensive and well-structured requirement document.

Provides step-by-step guidance for creating and updating Claude skills, enabling users to extend Claude's capabilities with custom knowledge, workflows, and tool integrations.

Standardizes documentation writing and review processes for the unmangleJS project to maintain consistency, maintainability, and bilingual alignment.

Reviews and analyzes project planning drafts generated by plan-agent, providing structured feedback by reading draft-plan.md and writing analysis results.

Deeply analyzes work content from sessions or commits and generates learning documentation in the docs/lessons/ directory.

Drafts PRDs from user feature ideas, analyzing trade-offs across planning, API, business, and development perspectives.