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Doc Navigator
ASecurityEfficiently navigate codebase documentation during Research phase. Use instead of Grep/Glob for finding architectural decisions, feature specs, and technical docs. Maps topics to doc locations for fast context retrieval. If codebase lacks documentation structure, provides patterns to establish one.
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- Added February 7, 2026
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[](https://www.skillsdirectory.com/skills/georgekhananaev-doc-navigator)---
name: doc-navigator
description: Efficiently navigate codebase documentation during Research phase. Use instead of Grep/Glob for finding architectural decisions, feature specs, and technical docs. Maps topics to doc locations for fast context retrieval. If codebase lacks documentation structure, provides patterns to establish one.
---
# Doc Navigator
Navigate codebase documentation efficiently by checking known doc locations first, before resorting to grep/glob searches.
## When to Use
- Finding architectural decisions (ADRs)
- Locating feature specs or API docs
- Researching codebase before implementation
- Suggesting documentation structure for new projects
- Alternative to grep/glob for doc discovery
## Quick Start
1. Check for docs directory at project root
2. Scan for common doc file patterns
3. If docs exist → map topics to locations
4. If no docs → suggest documentation structure (see `references/doc-patterns.md`)
## Common Documentation Locations
Check these locations in order:
```
project-root/
├── docs/ # Primary documentation
│ ├── architecture/ # System design, ADRs
│ ├── features/ # Feature specs
│ ├── api/ # API documentation
│ └── guides/ # How-to guides
├── .github/ # GitHub-specific docs
│ └── docs/
├── README.md # Project overview
├── ARCHITECTURE.md # High-level architecture
├── CONTRIBUTING.md # Contribution guidelines
└── doc/ or documentation/ # Alternative doc folders
```
## Topic-to-Location Mapping
| Looking for... | Check first |
|----------------|-------------|
| Project overview | `README.md` |
| Architecture/design | `docs/architecture/`, `ARCHITECTURE.md`, `docs/adr/` |
| Feature specs | `docs/features/`, `docs/specs/` |
| API reference | `docs/api/`, `api-docs/`, OpenAPI/Swagger files |
| Setup/installation | `docs/guides/setup.md`, `INSTALL.md` |
| Database schema | `docs/database/`, `docs/schema/`, `prisma/schema.prisma` |
| Data types/models | `docs/types/`, `docs/models/`, `src/types/`, `src/models/` |
| Style guide | `docs/style-guide.md`, `docs/conventions.md`, `.eslintrc`, `STYLE.md` |
| Environment config | `docs/config/`, `.env.example`, `docs/environment.md` |
| Testing strategy | `docs/testing/`, `tests/README.md` |
| Deployment | `docs/deployment/`, `docs/infrastructure/` |
| ADRs (decisions) | `docs/adr/`, `docs/decisions/`, `architecture/decisions/` |
| ADRs (fallback) | `CHANGELOG.md`, `git log`, PR descriptions, code comments |
## Discovery Workflow
```
1. ls docs/ (or doc/, documentation/)
↓ exists?
YES → scan structure, build topic map
NO → check for standalone doc files (*.md in root)
↓ found?
YES → use available docs
NO → suggest creating docs structure
(see references/doc-patterns.md)
```
## Automated Discovery
Run the scanner script to map available documentation:
```bash
python3 scripts/scan_docs.py [project-path]
```
Output: JSON map of topics → file locations
## When Docs Don't Exist
If the codebase lacks documentation:
1. Inform user: "No documentation structure found"
2. Offer to create starter docs: `view references/doc-patterns.md`
3. Suggest minimal viable structure based on project type
## Finding Decisions Without ADRs
If no formal ADRs exist, extract architectural context from:
```
CHANGELOG.md → Breaking changes, migration rationale
git log → Commits w/ "migrate", "refactor", "replace"
PR/MR descriptions → Discussion threads on major changes
Issue tracker → Closed RFCs, architecture proposals
Code comments → // DECISION:, // WHY:, // HACK:
```
See `references/doc-patterns.md` → "Fallback: When No ADRs Exist" for git commands & reconstruction templates.
## Integration with Research Phase
Use doc-navigator BEFORE grep/glob when:
- Starting work on unfamiliar codebase
- Looking for architectural context
- Understanding feature implementations
- Finding API contracts or schemas
Fall back to grep/glob when:
- Docs don't cover the specific topic
- Need to find implementation details in code
- Searching for specific function/class usage
---
Ref: `references/doc-patterns.md` for documentation templates when establishing new docs.
Files in this skill
- SKILL.md
- references/doc-patterns.md
- scripts/init_docs.py
- scripts/scan_docs.py
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