7. Writing & Documentation

Generates personalized cover letters by analyzing resume gaps, conducting company research, and customizing tone based on job requirements.

Transforms interview responses into publishable content using structured journalist-style questioning and narrative framing.

Analyzes user requirements to generate system design documentation (DESIGN.md), resolving ambiguities through user clarification.

Provides ADR guidelines for documenting architectural decisions including context, alternatives, and consequences.

Generates and customizes ATS-friendly resumes by parsing, matching to job descriptions, and exporting in PDF/DOCX formats.

Generates comprehensive technical documentation for database schemas, including ER diagrams and table metadata.

Generates and validates structured interview answers using the STAR framework, aligned with a candidate's resume for competency mapping.

Ensures documentation maintains clear, explicit structure for enhanced readability and user comprehension.

Validates skill documentation accuracy in README files for consistency during development and pre-commit checks.

Automates the generation of release notes using semantic versioning standards for software projects.

Guides the creation and review of Architectural Decision Records (ADRs) to document significant architectural choices, trade-offs, and rationale.

Generates API documentation in Swagger and Redoc formats with comprehensive authentication guides.

Generates system design documentation including C4 model diagrams, Architecture Decision Records (ADRs), sequence diagrams, and data flow diagrams.

Responds to common greetings like 'hello' or 'good day' with appropriate natural language acknowledgments in conversational interactions.

Creates and optimizes CLAUDE.md files to provide persistent project context for Claude Code, enhancing AI-assisted development workflows.

Provides Anthropic-compliant guidelines and best practices for creating Claude skills, covering structure, content, and adherence to platform standards.

Automates documentation synchronization with codebase changes, detecting mismatches and generating update reports for technical documentation.

Automates LaTeX thesis construction, including figure synchronization, bibliography management, and integration of experiment results for academic writing.

Detects discrepancies between documentation and code implementation to maintain knowledge base accuracy and reduce technical debt.

Creates Product Requirements Documents (PRDs) with user stories, state matrix, and accessibility requirements for large feature specifications.

Guides users in creating professional README files following industry best practices and patterns from awesome-readme.

Enhances project plans by identifying and filling gaps to create clear, comprehensive specifications.

Creates and reviews well-structured Agent Skills following best practices for clarity and consistency in documentation.

Standardizes agent responses in Chinese with concise summaries and requires user approval before system changes.