Grepai Init
Initialize GrepAI in a project. Use this skill when setting up GrepAI for the first time in a codebase.
- Skill ID
- yoanbernabeu/grepai-skills/grepai-init
- Publisher
- yoanbernabeu
- Repository
- grepai-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
yoanbernabeu/grepai-skills/grepai-initInstalls these files- SKILL.md
What this skill tells the agent
GrepAI Init
This skill covers the grepai init command and project initialization.
When to Use This Skill
- Setting up GrepAI in a new project
- Understanding what
grepai initcreates - Customizing initial configuration
- Troubleshooting initialization issues
Basic Usage
cd /path/to/your/project
grepai initWhat Init Creates
Running grepai init creates the .grepai/ directory with:
.grepai/
├── config.yaml # Configuration file
├── index.gob # Vector index (created by watch)
└── symbols.gob # Symbol index for trace (created by watch)Default Configuration
The generated config.yaml:
version: 1
embedder:
provider: ollama
model: nomic-embed-text
endpoint: http://localhost:11434
store:
backend: gob
chunking:
size: 512
overlap: 50
watch:
debounce_ms: 500
trace:
mode: fast
enabled_languages:
- .go
- .js
- .ts
- .jsx
- .tsx
- .py
- .php
- .c
- .h
- .cpp
- .hpp
- .cc
- .cxx
- .rs
- .zig
- .cs
- .pas
- .dpr
ignore:
- .git
- .grepai
- node_modules
- vendor
- target
- __pycache__
- dist
- buildUnderstanding Default Settings
Embedder Settings
| Setting | Default | Purpose |
|---|---|---|
provider | ollama | Local embedding generation |
model | nomic-embed-text | 768-dimension model |
endpoint | http://localhost:11434 | Ollama API URL |
Store Settings
| Setting | Default | Purpose |
|---|---|---|
backend | gob | Local file storage |
Chunking Settings
| Setting | Default | Purpose |
|---|---|---|
size | 512 | Tokens per chunk |
overlap | 50 | Overlap for context |
Watch Settings
| Setting | Default | Purpose |
|---|---|---|
debounce_ms | 500 | Wait time before re-indexing |
Ignore Patterns
Default patterns exclude:
- Version control:
.git - GrepAI data:
.grepai - Dependencies:
node_modules,vendor - Build outputs:
target,dist,build - Cache:
__pycache__
Customizing After Init
Edit .grepai/config.yaml to customize:
Change Embedding Provider
embedder:
provider: openai
model: text-embedding-3-small
api_key: ${OPENAI_API_KEY}Change Storage Backend
store:
backend: postgres
postgres:
dsn: postgres://user:pass@localhost:5432/grepaiAdd Custom Ignore Patterns
ignore:
- .git
- .grepai
- node_modules
- "*.min.js"
- "*.bundle.js"
- coverage/
- .nyc_output/Init in Monorepos
For monorepos, init at the root:
cd /path/to/monorepo
grepai initOr use workspaces for separate indices:
grepai workspace create my-workspace
grepai workspace add my-workspace /path/to/project1
grepai workspace add my-workspace /path/to/project2Re-Initialization
If you need to reset:
# Remove existing config
rm -rf .grepai
# Re-initialize
grepai initWarning: This deletes your index. You'll need to re-run grepai watch.
Verifying Initialization
After init, verify with:
# Check config exists
cat .grepai/config.yaml
# Check status (will show no index yet)
grepai statusCommon Issues
❌ Problem: .grepai already exists ✅ Solution: Delete it first or edit existing config:
rm -rf .grepai && grepai init❌ Problem: Config created but Ollama not running ✅ Solution: Start Ollama before running grepai watch:
ollama serve❌ Problem: Wrong directory initialized ✅ Solution: Remove .grepai and init in correct directory
Best Practices
- Init at project root: Where your main code lives
- Add `.grepai/` to `.gitignore`: Index is machine-specific
- Customize ignore patterns: Exclude generated/vendored code
- Review config after init: Adjust for your stack
Example .gitignore Addition
# GrepAI
.grepai/Output Format
After successful initialization:
✅ GrepAI Initialized
Config: .grepai/config.yaml
Default settings:
- Embedder: Ollama (nomic-embed-text)
- Storage: GOB (local file)
- Chunking: 512 tokens, 50 overlap
Next steps:
1. Ensure Ollama is running: ollama serve
2. Start indexing: grepai watchMore from yoanbernabeu
Use this skill in a project
Open any RiverX project, search the Skills panel for yoanbernabeu/grepai-skills/grepai-init, and install it in one click.
