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Grepai Search Tips

  • 667 installs
  • 18 repo stars
  • Updated February 1, 2026
  • yoanbernabeu/grepai-skills

grepai-search-tips is an agent skill that teaches developers how to write high-quality semantic queries so GrepAI-powered coding agents return relevant code and context.

About

grepai-search-tips is a guidance skill for developers using GrepAI semantic search inside coding agents. The skill contrasts text grep with meaning-based retrieval, showing how to phrase intent-focused queries instead of exact symbol names—for example asking to retrieve a user from a database rather than searching for getUserById. It covers when to invoke the skill, a semantic search mindset table, and troubleshooting steps for poor result quality. Developers reach for grepai-search-tips when agent searches miss relevant files, return noisy matches, or when onboarding a team to GrepAI-backed workflows. The skill does not install GrepAI itself; it optimizes query writing so existing GrepAI integrations surface the right modules, configs, and call sites faster during exploration and refactors.

  • Converts keyword thinking into intent-based semantic queries
  • 7 core query writing principles with before/after examples
  • Semantic Search Mindset table contrasting grep vs GrepAI
  • Helps troubleshoot poor search results quickly
  • Improves agent context retrieval across any codebase

Grepai Search Tips by the numbers

  • 667 all-time installs (skills.sh)
  • +6 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #1,468 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips

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Listed on Skillselion
Installs667
repo stars18
Security audit3 / 3 scanners passed
Last updatedFebruary 1, 2026
Repositoryyoanbernabeu/grepai-skills

How do you write better GrepAI semantic search queries?

Write high-quality semantic queries that return relevant code and context when working with GrepAI-powered agents.

Who is it for?

Developers running GrepAI inside Claude Code, Cursor, or Codex who need sharper code-context retrieval during exploration and refactors.

Skip if: Teams without a GrepAI integration who only need exact-string ripgrep or IDE symbol search.

When should I use this skill?

GrepAI searches return noisy results, miss relevant files, or the user asks how to phrase semantic code queries.

What you get

Reusable semantic query patterns, a text-vs-semantic mindset reference, and troubleshooting steps for higher-precision GrepAI code retrieval.

  • semantic query patterns
  • search troubleshooting checklist

Files

SKILL.mdMarkdownGitHub ↗

GrepAI Search Tips

This skill provides tips and best practices for writing effective semantic search queries.

When to Use This Skill

  • Improving search result quality
  • Learning semantic search techniques
  • Understanding how to phrase queries
  • Troubleshooting poor search results

Semantic Search Mindset

Think differently from text search:

Text Search (grep)Semantic Search (GrepAI)
Search for exact textSearch for meaning/intent
"getUserById""retrieve user from database by ID"
Literal matchConceptual match

Query Writing Principles

1. Describe Intent, Not Implementation

Bad: getUserByIdGood: fetch user record from database using ID

Bad: handleErrorGood: error handling and response to client

Bad: validateInputGood: check if user input is valid and safe

2. Use Descriptive Language

Bad: authGood: user authentication and authorization

Bad: dbGood: database connection and queries

Bad: configGood: application configuration loading

3. Be Specific About Context

Bad: validationGood: validate email address format

Bad: parseGood: parse JSON request body

Bad: sendGood: send email notification to user

4. Use 3-7 Words

LengthExampleQuality
Too short"auth"⚠️ Vague
Good"user authentication middleware"✅ Specific
Too long"the code that handles user authentication and validates JWT tokens in the middleware layer"⚠️ Verbose

5. Use English

Embedding models are trained primarily on English:

authentification utilisateur (French) ✅ user authentication

Even if your code comments are in another language, English queries work best.

Query Patterns

Finding Code by Behavior

grepai search "validate user credentials before login"
grepai search "send notification when order is placed"
grepai search "calculate total price with discounts"
grepai search "retry failed HTTP requests"

Finding Code by Purpose

grepai search "middleware that checks authentication"
grepai search "function that formats dates"
grepai search "service that sends emails"
grepai search "handler for payment processing"

Finding Error Handling

grepai search "handle errors from API calls"
grepai search "catch and log exceptions"
grepai search "error response to client"
grepai search "validation error messages"

Finding Data Operations

grepai search "save user to database"
grepai search "query products by category"
grepai search "cache frequently accessed data"
grepai search "transform data before storage"

Finding Configuration

grepai search "load configuration from environment"
grepai search "database connection settings"
grepai search "API keys and secrets management"
grepai search "feature flags and toggles"

Finding Security Code

grepai search "password hashing and verification"
grepai search "input sanitization to prevent injection"
grepai search "rate limiting for API endpoints"
grepai search "CORS configuration"

Iterative Refinement

If results aren't good, iterate:

Start Broad

grepai search "authentication"
# Results too varied

Add Context

grepai search "JWT authentication"
# Better, but still broad

Be Specific

grepai search "JWT token validation middleware"
# Precise results

Using Synonyms

Semantic search understands synonyms. Try different phrasings:

# These may return similar results:
grepai search "user authentication"
grepai search "user login verification"
grepai search "credential validation"
grepai search "identity verification"

Domain-Specific Terms

Use your domain vocabulary:

# E-commerce
grepai search "shopping cart checkout process"
grepai search "inventory stock management"

# Finance
grepai search "transaction processing"
grepai search "payment reconciliation"

# Healthcare
grepai search "patient record retrieval"
grepai search "appointment scheduling"

Question-Style Queries

Natural questions work well:

grepai search "how are users authenticated"
grepai search "where is the database connection configured"
grepai search "what happens when a request fails"
grepai search "how are errors logged"

Avoiding Common Mistakes

❌ Don't Use Exact Function Names

If you know the exact name, use grep:

grep -r "getUserById" .  # Text search

GrepAI is for when you don't know the exact name:

grepai search "retrieve user from database"  # Semantic search

❌ Don't Be Too Abstract

# Too abstract
grepai search "business logic"

# More concrete
grepai search "calculate order total with tax"

❌ Don't Use Code Syntax

# Don't do this
grepai search "function() { return }"

# Do this
grepai search "function that returns early"

❌ Don't Over-Specify

# Over-specified (mentions irrelevant details)
grepai search "async function in TypeScript file that uses axios to fetch"

# Better
grepai search "fetch data from external API"

Interpreting Results

High Scores (0.85+)

Strong match. The code likely does what you described.

Medium Scores (0.70-0.84)

Related code. May be what you want, or adjacent functionality.

Low Scores (0.60-0.69)

Loosely related. Consider refining your query.

Very Low Scores (<0.60)

Weak match. The concept may not exist in the codebase, or query needs rework.

When GrepAI Doesn't Find Results

1. Check the index: grepai status 2. Verify files are indexed: Not in ignore patterns? 3. Try simpler query: Remove specificity 4. Try different words: Use synonyms 5. Check if code exists: Maybe it doesn't yet!

Quick Reference Card

SituationQuery Style
Know the behavior"validates email format"
Know the domain"payment processing flow"
Exploring"how errors are handled"
Finding entry points"main application startup"
Finding dependencies"where database is connected"

Output Format

Tips summary:

📝 GrepAI Search Tips

✅ DO:
- Describe intent, not implementation
- Use 3-7 descriptive words
- Use English queries
- Iterate and refine

❌ DON'T:
- Use exact function names (use grep)
- Write too short queries ("auth")
- Write too long queries
- Use code syntax in queries

Example transformations:
  "auth"            → "user authentication and login"
  "getUserById"     → "fetch user by ID from database"
  "handleError"     → "error handling and logging"

Related skills

How it compares

Pick grepai-search-tips over generic code-search skills when the stack already uses GrepAI and the bottleneck is query phrasing, not repository indexing setup.

FAQ

What is grepai-search-tips used for?

grepai-search-tips teaches developers to phrase intent-focused semantic queries for GrepAI-powered agents. The skill contrasts exact-text grep with meaning-based search and includes troubleshooting guidance when result quality is poor.

When should I use grepai-search-tips?

Use grepai-search-tips when GrepAI searches miss relevant files, return noisy matches, or when onboarding teammates to semantic code search. The skill triggers on requests to improve search result quality or learn query phrasing.

Is Grepai Search Tips safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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