grepai-troubleshooting

yoanbernabeu/grepai-skills · updated Apr 8, 2026

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$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-troubleshooting
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summary

This skill provides solutions for common GrepAI issues and diagnostic procedures.

skill.md

GrepAI Troubleshooting

This skill provides solutions for common GrepAI issues and diagnostic procedures.

When to Use This Skill

  • GrepAI not working as expected
  • Search returning poor results
  • Index not updating
  • Connection or configuration errors

Quick Diagnostics

Run these commands to understand your setup:

# Check GrepAI version
grepai version

# Check project status
grepai status

# Check Ollama (if using)
curl http://localhost:11434/api/tags

# Check config
cat .grepai/config.yaml

Common Issues


Issue: "Index not found"

Symptom:

Error: Index not found. Run 'grepai watch' first.

Cause: No index has been created for this project.

Solution:

# Initialize if needed
grepai init

# Create the index
grepai watch

Issue: "Cannot connect to embedding provider"

Symptom:

Error: Cannot connect to Ollama at http://localhost:11434

Causes:

  1. Ollama not running
  2. Wrong endpoint configured
  3. Firewall blocking connection

Solutions:

  1. Start Ollama:
ollama serve
  1. Check endpoint in config:
embedder:
  endpoint: http://localhost:11434  # Verify this
  1. Test connection:
curl http://localhost:11434/api/tags

Issue: "Model not found"

Symptom:

Error: Model 'nomic-embed-text' not found

Cause: The embedding model hasn't been downloaded.

Solution:

# Download the model
ollama pull nomic-embed-text

# Verify
ollama list

Issue: Search returns no results

Symptom: Searches return empty or very few results.

Causes:

  1. Index is empty
  2. Files are being ignored
  3. Query too specific

Solutions:

  1. Check index status:
grepai status
# Should show files > 0 and chunks > 0
  1. Verify files are being indexed:
# Check ignore patterns in config
cat .grepai/config.yaml | grep -A 20 "ignore:"
  1. Try broader query:
grepai search "function"  # Very broad test

Issue: Search returns irrelevant results

Symptom: Results don't match what you're looking for.

Causes:

  1. Query too vague
  2. Boosting not configured
  3. Wrong content indexed

Solutions:

  1. Improve query (see grepai-search-tips skill):
# Bad
grepai search "auth"

# Good
grepai search "user authentication middleware"
  1. Configure boosting to penalize tests:
search:
  boost:
    enabled: true
    penalties:
      - pattern: /tests/
        factor: 0.5
  1. Check what's indexed:
grepai status

Issue: Index is outdated

Symptom: Recent file changes aren't appearing in search results.

Causes:

  1. Watch daemon not running
  2. Debounce delay
  3. File not in indexed extensions

Solutions:

  1. Check daemon status:
grepai watch --status
  1. Restart daemon:
grepai watch --stop
grepai watch --background
  1. Force re-index:
rm .grepai/index.gob
grepai watch

Issue: "Config not found"

Symptom:

Error: Config file not found at .grepai/config.yaml

Cause: GrepAI not initialized in this directory.

Solution:

grepai init

Issue: Slow indexing

Symptom: Initial indexing takes very long.

Causes:

  1. Large codebase
  2. Slow embedding provider
  3. Not enough ignore patterns

Solutions:

  1. Add ignore patterns:
ignore:
  - node_modules
  - vendor
  - dist
  - build
  - "*.min.js"
  1. Use faster model:
embedder:
  model: nomic-embed-text  # Smaller, faster
  1. Use OpenAI for speed (if privacy allows):
embedder:
  provider: openai
  model: text-embedding-3-small
  parallelism: 8

Issue: Slow searches

Symptom: Search queries take several seconds.

Causes:

  1. Very large index
  2. GOB storage on large codebase
  3. Embedding provider slow

Solutions:

  1. Check index size:
ls -lh .grepai/index.gob
  1. For large indices, use Qdrant:
store:
  backend: qdrant
  1. Limit results:
grepai search "query" --limit 5

Issue: Trace not finding symbols

Symptom: grepai trace callers returns no results.

Causes:

  1. Function name spelled wrong
  2. Language not enabled for trace
  3. Symbols index out of date

Solutions:

  1. Check exact function name (case-sensitive)

  2. Enable language in config:

trace:
  enabled_languages:
    - .go
    - .js
    - .ts
  1. Re-build symbol index:
rm .grepai/symbols.gob
grepai watch

Issue: MCP not working

Symptom: AI assistant can't use GrepAI tools.

Causes:

  1. MCP config incorrect
  2. GrepAI not in PATH
  3. Working directory wrong

Solutions:

  1. Test MCP server manually:
grepai mcp-serve
  1. Check GrepAI is in PATH:
which grepai
  1. Verify MCP config:
# Claude Code
cat ~/.claude/mcp.json

# Cursor
cat .cursor/mcp.json

Issue: Out of memory

Symptom: GrepAI crashes or system becomes slow.

Causes:

  1. Large embedding model
  2. Very large index in GOB format
  3. Too many parallel requests

Solutions:

  1. Use smaller model:
embedder:
  model: nomic-embed-text  # Smaller
  1. Use PostgreSQL or Qdrant instead of GOB

  2. Reduce parallelism:

embedder:
  parallelism: 2

Issue: API key errors (OpenAI)

Symptom:

Error: 401 Unauthorized - Invalid API key

Solutions:

  1. Check environment variable:
echo $OPENAI_API_KEY
  1. Ensure variable is exported:
export OPENAI_API_KEY="sk-..."
  1. Check key format in config:
embedder:
  api_key: ${OPENAI_API_KEY}  # Uses env var

Diagnostic Commands

Full System Check

#!/bin/bash
echo "=== GrepAI Diagnostics ==="

echo -e "\n1. Version:"
grepai version

echo -e "\n2. Status:"
grepai status

echo -e "\n3. Config:"
cat .grepai/config.yaml 2>/dev/null || echo "No config found"

echo -e "\n4. Index files:"
ls -la .grepai/ 2>/dev/null || echo "No .grepai directory"

echo -e "\n5. Ollama (if using):"
curl -s http://localhost:11434/api/tags | head -5 || echo "Ollama not responding"

echo -e "\n6. Daemon:"
grepai watch --status 2>/dev/null || echo "Daemon not running"

Reset Everything

If all else fails, complete reset:

# Remove all GrepAI data
rm -rf .grepai

# Re-initialize
grepai init

# Start fresh index
grepai watch

Getting Help

If issues persist:

  1. Check GrepAI documentation: https://yoanbernabeu.github.io/grepai/
  2. Search issues: https://github.com/yoanbernabeu/grepai/issues
  3. Create new issue with:
    • GrepAI version (grepai version)
    • OS and architecture
    • Config file (remove secrets)
    • Error message
    • Steps to reproduce

Output Format

Diagnostic summary:

🔍 GrepAI Diagnostics

Version: 0.24.0
Project: /path/to/project

✅ Config: Found (.grepai/config.yaml)
✅ Index: 245 files, 1,234 chunks
✅ Embedder: Ollama (connected)
✅ Daemon: Running (PID 12345)
❌ Issue: [Description if any]

Recommended actions:
1. [Action item]
2. [Action item]
how to use grepai-troubleshooting

How to use grepai-troubleshooting on Cursor

AI-first code editor with Composer

1

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-troubleshooting
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-troubleshooting

The skills CLI fetches grepai-troubleshooting from GitHub repository yoanbernabeu/grepai-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/grepai-troubleshooting

Reload or restart Cursor to activate grepai-troubleshooting. Access the skill through slash commands (e.g., /grepai-troubleshooting) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.739 reviews
  • Dhruvi Jain· Dec 28, 2024

    I recommend grepai-troubleshooting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Daniel Harris· Dec 28, 2024

    Useful defaults in grepai-troubleshooting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kofi Dixit· Dec 28, 2024

    grepai-troubleshooting fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noah Gonzalez· Dec 8, 2024

    Keeps context tight: grepai-troubleshooting is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aisha Iyer· Dec 4, 2024

    grepai-troubleshooting is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ira Jain· Nov 27, 2024

    We added grepai-troubleshooting from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Noah Sharma· Nov 23, 2024

    grepai-troubleshooting reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Nov 19, 2024

    Useful defaults in grepai-troubleshooting — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Diallo· Nov 19, 2024

    I recommend grepai-troubleshooting for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chen Jackson· Oct 18, 2024

    Solid pick for teams standardizing on skills: grepai-troubleshooting is focused, and the summary matches what you get after install.

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