code-wiki

Generate wiki docs + Mermaid diagrams for any codebase.

# Code Wiki Skill

Generate a comprehensive wiki for any codebase — overview, architecture, per-module deep-dives, Mermaid class and sequence diagrams. Inspired by Google CodeWiki, but works on local repos, private repos, and any language. Uses only existing Hermes tools (`terminal`, `read_file`, `search_files`, `write_file`); no Docker, no external services, no extra dependencies.

This skill produces **reference documentation** (what/how). It does not produce strategic narrative (why — that's a different skill).

## When to Use

- User says "document this codebase", "generate a wiki", "make architecture diagrams"
- Onboarding to an unfamiliar repo and wants a structured reference
- User points at a GitHub URL and asks for documentation
- Need a stable artifact (markdown + Mermaid) that renders on GitHub

Do NOT use this for:
- Single-file or single-function documentation — just answer directly
- API reference for one specific endpoint — use `read_file` and answer inline
- Strategic "why does this exist" narrative — different skill, different purpose
- Codebases the user is actively developing in this session — just answer questions as they come

## Prerequisites

- No env vars required.
- `git` on PATH for repo SHA tracking and remote clones.
- Optional: `pygount` for language-breakdown stats (see the `codebase-inspection` skill).

## How to Run

Invoke through the `terminal` tool from the target repo's root, then use `read_file` / `search_files` / `write_file` to produce the wiki. Default output location is `~/.hermes/wikis/<repo-name>/`. Only write into the repo (`docs/wiki/`) when the user explicitly requests it.

## Quick Reference

| Step | Action |
|---|---|
| 1 | Resolve target — local cwd, given path, or `git clone --depth 50 <url>` to a temp dir |
| 2 | Scan structure — `ls`, `find -maxdepth 3`, manifest files, README |
| 3 | Pick 8–10 modules to document |
| 4 | Write `README.md` (overview + module map) |
| 5 | Write `architecture.md` with Mermaid flowchart |
| 6 | Write per-module docs in `modules/` |
| 7 | Write `diagrams/class-diagram.md` (Mermaid classDiagram) |
| 8 | Write `diagrams/sequences.md` (Mermaid sequenceDiagram, 2–4 workflows) |
| 9 | Write `getting-started.md` |
| 10 | Write `api.md` if applicable, else skip |
| 11 | Write `.codewiki-state.json` |
| 12 | Report paths to user |

## Procedure

### 1. Resolve the target

For a GitHub URL:

```bash
WIKI_TMP=$(mktemp -d)
git clone --depth 50 <url> "$WIKI_TMP/repo"
cd "$WIKI_TMP/repo"
REPO_SHA=$(git rev-parse HEAD)
REPO_NAME=$(basename <url> .git)
```

For a local path (or cwd if none given):

```bash
cd <path>
REPO_SHA=$(git rev-parse HEAD 2>/dev/null || echo "uncommitted")
REPO_NAME=$(basename "$PWD")
```

Then set the output dir:

```bash
OUTPUT_DIR="$HOME/.hermes/wikis/$REPO_NAME"
mkdir -p "$OUTPUT_DIR/modules" "$OUTPUT_DIR/diagrams"
```

### 2. Scan repo structure

Use the `terminal` tool for the shell work, `read_file` for manifests:

```bash
# Shallow tree first
ls -la

# Deeper tree, noise filtered
find . -type d \
  -not -path '*/\.*' \
  -not -path '*/node_modules*' \
  -not -path '*/venv*' \
  -not -path '*/__pycache__*' \
  -not -path '*/dist*' \
  -not -path '*/build*' \
  -not -path '*/target*' \
  -maxdepth 3 | sort

# Language breakdown (skip if pygount unavailable)
pygount --format=summary \
  --folders-to-skip=".git,node_modules,venv,.venv,__pycache__,.cache,dist,build,target" \
  . 2>/dev/null || true
```

Then `read_file` the relevant manifests (`package.json`, `pyproject.toml`, `setup.py`, `Cargo.toml`, `go.mod`, `pom.xml`, `build.gradle`) and the project README. Use `search_files target='files'` to find them rather than guessing names.

### 3. Pick modules to document

Cap initial pass at **8–10 modules**. Heuristics by language:

- Python: top-level packages (dirs with `__init__.py`), plus subsystem dirs
- JS/TS: `src/<subdir>`, top-level workspace dirs
- Rust: each crate in a workspace, or top-level `src/<module>` dirs
- Go: each top-level package directory
- Mixed/unfamiliar: top-level directories that contain source code (not config, not tests)

For very large repos, prioritize by:
1. Imported-from count (a module imported by many is core)
2. LOC (bigger modules usually warrant their own doc)
3. Mentions in README / top-level docs

State the module list to the user before generating per-module docs on big repos — gives them a chance to redirect.

### 4. Write `README.md`

`read_file` the actual project README plus the top 2–3 entry-point files. Then `write_file`:

````markdown
# <Project Name>

<One paragraph: what it is and what it's for. Self-contained — don't assume the
reader has the source README.>

## Key Concepts

- **<Concept 1>** — <one line>
- **<Concept 2>** — <one line>

## Entry Points

- [`path/to/main.py`](<link>) — <what runs when you start it>
- [`path/to/cli.py`](<link>) — <CLI surface>

## High-Level Architecture

<2-3 sentences. Detail goes in architecture.md.>

See [architecture.md](architecture.md).

## Module Map

| Module | Purpose |
|---|---|
| [`<module>`](modules/<module>.md) | <one-line purpose> |

## Getting Started

See [getting-started.md](getting-started.md).
````

For link targets in local mode use relative paths. For cloned repos use `https://github.com/<owner>/<repo>/blob/<sha>/<path>` so links survive future commits.

### 5. Write `architecture.md`

````markdown
# Architecture

<2-3 paragraphs: shape of the system. What talks to what. Where data enters,
where it exits, where state lives.>

## Components

- **<Component>** — <1-2 sentences>. See [`modules/<module>.md`](modules/<module>.md).

## System Diagram

```mermaid
flowchart TD
    User([User]) --> Entry[Entry Point]
    Entry --> Core[Core Engine]
    Core --> StorageA[(Database)]
    Core --> ExternalAPI{{External API}}
```

## Data Flow

1. **<Step>** — [`<file>`](<link>)
2. **<Step>** — [`<file>`](<link>)

## Key Design Decisions

- <Anything load-bearing the reader should know>
````

**Mermaid shape semantics:**
- `[]` = component
- `[()]` = database / storage
- `{{}}` = external service
- `(())` = entry point or terminal
- `-->` = sync call, `-.->` = async/event

Cap at ~20 nodes per diagram. Split into sub-diagrams if larger.

### 6. Write per-module docs in `modules/`

For each selected module, inspect its layout with `ls`, identify 3–5 most important files (by size, by being named `core.py` / `main.py` / `__init__.py`, by being imported a lot), then `read_file` those files (use `offset` / `limit` to read only what you need; prefer `search_files` for specific symbols).

````markdown
# Module: `<module>`

<1-2 sentence purpose.>

## Responsibilities

- <bullet>
- <bullet>

## Key Files

- [`<module>/<file>`](<link>) — <what it does>

## Public API

<Functions/classes/constants other code uses. Group related items. Show
signatures, not full implementations.>

## Internal Structure

<How the module is organized internally. State management.>

## Dependencies

- **Used by:** <other modules>
- **Uses:** <other modules + external libs>

## Notable Patterns / Gotchas

- <Anything non-obvious>
````

### 7. Write `diagrams/class-diagram.md`

Pick the 5–10 most important classes/types. `read_file` them, then write:

````markdown
# Class Diagram

## Core Types

```mermaid
classDiagram
    class Agent {
        +string name
        +list~Tool~ tools
        +chat(message) string
    }
    class Tool {
        <<interface>>
        +name string
        +execute(args) any
    }
    Agent --> Tool : uses
    Tool <|-- TerminalTool
    Tool <|-- WebTool
```

## Notes

<Anything the diagram can't express — lifecycle, threading, etc.>
````

For languages without classes (Go, C, Rust): use the diagram for struct relationships, or skip class-diagram.md and explain it in prose in architecture.md. Don't force-fit.

### 8. Write `diagrams/sequences.md`

Pick 2–4 of the most important workflows. Trace each call path through the code (read entry point, follow function calls), t