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Found 14 Skills
Analyze implementation details, trace data flow, and explain technical workings with precise file:line references. Use when you need to understand HOW code works.
让 agent zoom out，并给出更广的 context 或更高层 perspective。Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
Search Sourcegraph-indexed codebases for patterns, examples, and system understanding. Triggers on implementation questions, debugging, or "how does X work" queries.
Cognitive science-based deep source code understanding assistant (Chinese improved version). Supports three analysis modes: Quick (overview), Standard (comprehension), Deep (mastery, automatically uses parallel processing for large projects). Integrates elaborative interrogation, self-explanation testing, and retrieval practice to help truly understand and master code.
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
Refresh AI's understanding of code. Use this skill when the user mentions terms like "refresh", "re-understand", "refresh cache", "reload", etc. This skill compares all modified files, re-reads and understands the code that may have been modified by humans, ensuring that the AI's context is synchronized with the latest code state.
Generates interactive codebase quizzes to test understanding of architecture, patterns, and implementation details. Configurable by card count (fewer, standard, more) and difficulty (easy, medium, hard). Use when asked to quiz me, test my knowledge, create flashcards, generate codebase questions, or run a code quiz.
Explain code in detail - what it does, how it works, and why. Use when you need to understand unfamiliar code or explain code to others.
Conduct targeted code exploration on a repository, and document the process of "Asking Questions → Reading Code → Reaching Conclusions" as searchable evidence for direct reuse when similar questions arise next time. There are three types: question (investigate code around a specific problem and provide conclusions), module-overview (organize the structure, boundaries, entry points, and dependencies of a module), spike (conduct lightweight technical exploration of multiple possible directions without making final decisions). Trigger scenarios: When users say "Let's explore first", "How is X implemented in this repository", "Quickly get familiar with this module", "Archive the exploration results". For the distinction from learning / tricks / decisions, refer to the root skill `easysdd`.
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase", "read the codebase", "prime", or "get up to speed".
Explain how code works in detail. Use when trying to understand unfamiliar code, complex logic, or system architecture.
Maps the directory structure of the project to help the AI understand the codebase layout.