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Found 32 Skills
Expert in understanding and navigating legacy codebases. Covers code archaeology techniques, finding hidden knowledge, mapping dependencies, and extracting understanding from code without documentation. Knows how to read the stories that old code tells. Use when "legacy code, old codebase, understand this code, archaeology, what does this do, no documentation, ancient code, " mentioned.
Routes queries to Offworld reference files. Find and read per-repo references for dependency knowledge.
TSDoc standards for TypeScript/JavaScript code. Automatically invoked when writing, reviewing, or editing any TSDoc comments, code documentation, or API documentation. (project)
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
Guidelines for writing Rust documentation
This skill provides documentation-driven development workflow guidance. It ensures proper Story file creation, ROADMAP status tracking, and documentation synchronization. Essential for creating or updating Story files, checking ROADMAP.md status, validating completion status, and syncing documentation with code changes.
Provides comprehensive guidance for adding Java code comments following industry standards and best practices. This skill helps add class-level comments, method-level comments, and field-level comments to Java code. Use when the user wants to add comments to Java code, needs to document Java classes/methods/fields, wants to improve code documentation, or needs to generate JavaDoc comments. This skill covers Controller, Service, ServiceImpl, Mapper, Model, Entity, BO (Business Object), DTO, VO, and other common Java component types. The skill follows a systematic workflow: scan codebase, identify components, create todo list, and add comments in order (class comments → method comments → field comments).
Expert at analyzing documentation quality, coverage, and completeness. Auto-invokes when evaluating documentation health, checking documentation coverage, auditing existing docs, assessing documentation quality metrics, or analyzing how well code is documented. Provides frameworks for measuring documentation effectiveness.
Use when writing code, documentation, or comments - always use accessible and respectful terminology
Create a comprehensive inventory of a codebase. Map structure, entry points, services, infrastructure, domain models, and data flows. Pure documentation—no opinions or recommendations. Use when onboarding to an unfamiliar codebase, documenting existing architecture before changes, preparing for architecture reviews or migration planning, or creating a reference for the team. Triggers on requests like "map this codebase", "document the architecture", "create an inventory", or "what does this codebase contain".
Write Python docstrings following the Google Python Style Guide, using clear sections and examples.
Writing technical articles and blog posts. Use when creating articles in docs/articles/ or blog content explaining patterns, techniques, or lessons learned.