Searches a codebase with semantic queries to locate entry points, data flow, and implementations.
npx skills add https://github.com/Ohmnia/site-build --skill explore-ohmnia
Please help me install this Agent Skill. Skill: explore Source: https://github.com/Ohmnia/site-build/tree/main/.opencode/skills/explore Command: npx skills add https://github.com/Ohmnia/site-build --skill explore-ohmnia
codebase_search calls from different angles. - Flow Tracing: Identifies entry points, data flow, and ownership of a behavior across routers, handlers, config, and tests. - Use Case: When a developer asks "where is authentication handled?", the Skill runs parallel searches, reads the returned sections, and summarizes the flow with concrete file paths. ## Quick Start Ask the assistant to explore the codebase and explain where a specific feature is implemented and how its data flows.High-intent search queries and answers about installing and using this skill.
Use semantic codebase search with a natural language description of the functionality instead of keyword grep. Running 2-3 queries from different angles surfaces entry points, handlers, and related tests, which you then read to trace the flow.
Formulate a query like "Find the entry points and data flow for X, including router/handlers, config, and tests." Run it with codebase_search, read the returned sections, and summarize the flow with concrete file paths.
Use semantic search when keyword grep is likely to miss relevant files, such as when you do not know exact symbol names. It works better for conceptual questions about behavior, ownership, and architecture.
Semantic search depends on the quality of the query and the index coverage of the repository. It may miss dynamically dispatched code or generated files, so results should be verified by reading the returned file sections.
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