/codebase-exploration

name: codebase-exploration
description: >
  Use when exploring, understanding, or answering questions about a codebase that has Repowise
  indexed (a .repowise/ directory in the project root). Activates for "how does X work",
  "explain the architecture", "where is Y implemented", "what does this module do", or any task
  that needs an understanding of structure before diving into source files.
user-invocable: false

Codebase Exploration with Repowise

This project has a Repowise intelligence layer. Before grepping and reading raw source to understand the codebase, reach for the Repowise MCP tools — they return documentation, ownership, history, decisions, and graph structure that plain file reads don't, usually in one round-trip instead of many.

Which tool for which question

| You want… | Call | |---|---| | First orientation in an unfamiliar repo | `get_overview()` — architecture summary, key modules, entry points, git health, knowledge map. Skip it once you have the map. | | A direct answer to "how/where/why does X work" | `get_answer(question="…")` — synthesised answer with citations + a `retrieval_quality` signal. Collapses the search → read → reason loop. | | Find a symbol, file, or fuzzy concept | `search_codebase(query="…")` — hybrid search. `mode="auto"` routes an identifier to indexed symbol hits (`symbol_id`/line bounds → pipe into `get_symbol`), a path to file pages (→ `get_context`), and prose to semantic wiki search (each hit reports `search_method`: `embedding` vs `bm25`). Force a branch with `mode=symbol\|path\|concept\|hybrid`; narrow symbols with `symbol_kind`. | | A triage card for specific files/symbols | `get_context(targets=[…])` — title, summary, signatures, hotspot bit, top callers, decision titles, symbol_ids. Batch many targets in one call. | | The actual source of one symbol | `get_symbol("path/to/file.py::Name")` — exact bytes with line bounds. Cheaper than Read + offset math. Use a `symbol_id` from `get_context`. |

Recommended flow

1. New area you don't know → `get_overview()` once. 2. A specific question → `get_answer(question=…)` first.

• High confidence → answer it, cite the paths.
• `medium`/`low` confidence → follow `best_guesses[0].file` or

`fallback_targets[0]` into `get_context`, then `get_symbol` for bytes. 3. A named symbol or a path → `search_codebase(query="Name")` / `search_codebase(query="path/to/file.py")`; symbol hits pipe straight into `get_symbol`, file hits into `get_context`. 4. More files around a concept → `search_codebase`, then `get_context` on the hits (batched), then `get_symbol` only for the bodies you actually need.

Fall back to raw Read/Grep only when the indexed context doesn't cover the specific detail the user asked about.

Trust signals — verify when

• `_meta.stale_warning` is present (the index has diverged from HEAD), or
• `retrieval_quality` is `partial`/`weak`, or
• a result's `search_method` is `bm25`.

Otherwise the response is current — act on it.

Error handling

• "No repositories found. Run 'repowise init' first." → suggest `/repowise:init`.

Add `--no-editor-setup` if this repo is a scratch clone, a fixture, or a worktree: `init` otherwise repoints the user's single global `repowise` MCP entry at it.

• `get_answer`/`search_codebase` come back empty → the repo may have a

template-rendered wiki. Fall back to `get_context` with explicit paths, and note that model-written pages (`repowise generate`, or `/repowise:init` with an LLM provider) unlock richer docs + semantic search.

• Tools fail to connect at all → the `repowise` binary may not be installed;

suggest `/repowise:init`.