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deep-research

Research a technical topic thoroughly by exploring the codebase and summarizing findings. Use when asked to investigate how something works, research an area of the codebase, trace a data flow, or understand a component in depth.

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Research the following topic thoroughly: $ARGUMENTS

Steps

  1. Identify the scope of the research. Parse the topic into concrete searchable terms: class names, function names, file name patterns, configuration keys, or framework-specific terms.

  2. Search broadly before reading deeply:

    • Use Grep to search for the most distinctive identifiers (class names, function names, error strings)
    • Use Glob to find files by name pattern (e.g., *auth*, *middleware*, *.config.*)
    • Prioritize files that appear in multiple search results — they are likely central to the topic
  3. Read the most relevant files completely. Do not skim. Missing a detail in a critical file leads to incorrect conclusions.

  4. For key files, check recent git history to understand why things are the way they are:

    git log --oneline --follow -20 <filepath>
    

    Read the most informative commit messages. If a commit message references a PR or issue number, note it.

  5. Follow import and dependency chains one level deep. If the main file imports from three other modules, read those modules too.

  6. Synthesize findings into a structured report with these sections:

    Overview What this system or component does, in two to four sentences. Write for someone who has never touched this codebase.

    Key files A table: file path | one-line description of its role. Include every file you read that was materially relevant.

    How it works The main flow, data structures, and key design decisions. Use concrete terms: function names, type names, config keys. Reference file paths and approximate line numbers for the most important details.

    Recent changes What changed in the last 20 commits in the relevant area, and why (based on commit messages and diff context).

    Open questions Anything that is unclear from the code alone and would benefit from asking a team member or reading documentation. Be specific.

  7. Be precise. If you are uncertain, say so. Do not infer things that are not in the code.

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