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grepai-search-tipsgrepai 搜索提示

Agent Skill

grepai-search-tips 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,760

周安装

490

GitHub Stars

16

下载量

3,920
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:grepai-search-tips(grepai 搜索提示)
来源仓库:https://github.com/yoanbernabeu/grepai-skills
仓库路径:skills/grepai-search-tips
安装命令:
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 它根据关键词或任务场景在代码或文档中匹配内容片段。
  • 使用方式依赖具体仓库结构和搜索模式,需结合上下文调整参数。
  • 安装命令:npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips。
  • 注意确认权限范围和是否允许读取项目文件,避免误触敏感路径。

SKILL.md

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"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.3%
按下载量换算1,305

Claude

30.4%
按下载量换算1,192

Cursor

18.29%
按下载量换算717

Gemini CLI

9.55%
按下载量换算374

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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