Map concept usage and dependencies across large multi-language codebases.
npx skills add https://github.com/shaun0927/codex-superskills --skill deepsearch-shaun0927
Please help me install this Agent Skill. Skill: deepsearch Source: https://github.com/shaun0927/codex-superskills/tree/main/skills/deepsearch Command: npx skills add https://github.com/shaun0927/codex-superskills --skill deepsearch-shaun0927
Helps developers thoroughly locate relevant code, patterns, and dependencies across large codebases, reducing manual search time and enabling deeper insights.
Provide a search query and let Deep Search scan the repository to map all usages and relationships.
High-intent search queries and answers about installing and using this skill.
To find code patterns across a large repository, you can provide a search query to scan multiple files and folders for exact matches, related terms, and import/export relationships. This maps all usages and identifies primary locations.
Yes, you can trace dependencies and imports across multiple languages by applying static analysis to examine matched files. It maps relationships and synthesizes a usage map, enabling targeted investigations and impact analysis.
The best way to perform impact analysis is to search for the concept or pattern and map its usage across the codebase. This identifies main implementations, related files, and dependency relationships to understand the full scope of changes.
To map how a term is used and exported, you deep dive into matched files to examine imports and exports. This synthesizes a map of usage patterns, identifying main implementations and related functionality across the codebase.
Yes, deep search is designed for large repositories with multiple languages or modules. It applies search strategies that identify exact matches, variations, and imports across multiple files and folders to output primary locations and key insights.
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