7. Writing & Documentation

Resolves common LaTeX compilation issues including undefined references, duplicate labels, and citation errors in technical documents.

Generates clear, step-by-step development plans from requirements to guide implementation before writing code.

Aids in editing prose for clarity, conciseness, and proper grammar using Strunk's classic 1918 writing guide.

Fixes implementation plans by resolving redundancies, adding missing test steps, and aligning patterns based on architectural review feedback.

Automates native formatting in Google Docs using the Docs API, replacing markdown with headings, bold, and tables.

Verifies alignment between code implementation and generated documentation, including architectural diagrams, using Sphinx and MkDocs.

Interactive Q&A tool to generate structured user story documentation in Markdown format for agile development.

Automates conversion of user stories into structured Product Requirements Documents by extracting features and defining functional requirements.

Provides templates and guidelines for writing technical documentation across various formats including API docs and READMEs.

Automates creation and updates of project documentation by analyzing code structure and content.

Automates synchronization and publishing of technical documentation including ADRs and API docs to GitHub Wiki via Git.

Edits IT articles for accuracy, clarity, and style guide compliance before publishing on Qiita and Zenn.

Explains xAPI statement structure, verbs, activity types, and cmi5 specifications for educational learning assessment tracking.

Verifies and updates technical documentation to align with current code implementation, ensuring accuracy and consistency.

Automates generation and updates of project documentation to maintain accurate AI context and system understanding.

Assists in creating high-quality content through research, citation integration, hook improvement, and real-time writing feedback.

Refines and optimizes agent instruction documentation (CLAUDE.md/AGENTS.md) for improved clarity, structure, and effectiveness in AI agent workflows.

Automates documentation updates for KnearMe chat agent architecture, tools, and API based on code changes and schema updates.

Analyzes API documentation to extract authentication methods and endpoint URLs for seamless integration and development workflows.

Generates tailored resumes by analyzing job descriptions to highlight relevant skills and experiences, improving interview prospects.

Provides a safe and friendly greeting message to enhance initial user interaction and communication.

Generates structured implementation plans from requirements for multi-step development tasks, ensuring clarity before code execution.

Automates synchronization of codebase documentation including READMEs, guides, and comments to reflect current code state.

Generates EARS-formatted requirements documents using ultrathink for deep analysis and aligns with master documentation context.