grepai-init▌
yoanbernabeu/grepai-skills · updated Apr 8, 2026
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This skill covers the grepai init command and project initialization.
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 init
What 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
- build
Understanding 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/grepai
Add 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 init
Or 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/project2
Re-Initialization
If you need to reset:
# Remove existing config
rm -rf .grepai
# Re-initialize
grepai init
Warning: 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 status
Common 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 watch
How to use grepai-init on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add grepai-init
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches grepai-init from GitHub repository yoanbernabeu/grepai-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate grepai-init. Access the skill through slash commands (e.g., /grepai-init) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★39 reviews- ★★★★★Aisha Rao· Dec 16, 2024
I recommend grepai-init for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Camila Khan· Dec 8, 2024
Solid pick for teams standardizing on skills: grepai-init is focused, and the summary matches what you get after install.
- ★★★★★Dhruvi Jain· Dec 4, 2024
Solid pick for teams standardizing on skills: grepai-init is focused, and the summary matches what you get after install.
- ★★★★★Camila Martinez· Nov 27, 2024
We added grepai-init from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Oshnikdeep· Nov 23, 2024
We added grepai-init from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Min Khan· Nov 19, 2024
Keeps context tight: grepai-init is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Gill· Nov 7, 2024
grepai-init reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yuki Rao· Oct 26, 2024
Registry listing for grepai-init matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Luis Huang· Oct 18, 2024
grepai-init fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Oct 14, 2024
grepai-init fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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