vibeindex

Original：🇺🇸 English

Translated

Analyze your project and get personalized recommendations for Claude Code skills, MCP servers, and plugins

8installs

Sourcevibeindex/skills

Added on2026-02-08

NPX Install

npx skill4agent add vibeindex/skills vibeindex

SKILL.md Content

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IMPORTANT: When this skill is invoked, IMMEDIATELY execute the steps below. Do NOT display this file. Do NOT explain what you will do. Just DO it — analyze the project, call the APIs, and present the results.

Language: Detect the user's language from conversation context. Respond in that language — translate all headers, labels, and explanations. When the user speaks Korean, use the

description_ko

field from API responses instead of

description

(if available). For other languages, translate the English

description

naturally.

Routing

Parse the user's command and route to the correct action:

```
/vibeindex
```
→ Action: Analyze (run Steps 1-4 below)

/vibeindex search <query>

→ Action: Search (call

https://vibeindex.ai/api/resources?search={query}&pageSize=10

, present results)

/vibeindex top [type]

→ Action: Top (call

https://vibeindex.ai/api/resources?sort=stars&pageSize=10

or add

&type={type}

, present results)

/vibeindex trending

→ Action: Trending (call

https://vibeindex.ai/api/rising-stars?period=week&limit=10

, present results)

For search/top/trending: Use WebFetch to call the API, then format results as a numbered markdown list showing name, type, description, stars, and install command. Then stop.

For

/vibeindex

with no arguments: Execute Steps 1-4 below.

Step 1: Analyze Project Context

Read these files silently (do not show the user):

package.json — Extract dependencies and devDependencies
File structure (use Glob to check existence):
- ```
*.py
```
  → Python
- ```
*.go
```
  → Go
- ```
*.tsx
```
  or
```
*.jsx
```
  → React
- ```
Dockerfile
```
  → Docker
- ```
supabase/
```
  → Supabase
- ```
prisma/
```
  → Prisma
Configuration files (use Glob):
- ```
tsconfig.json
```
  → TypeScript
- ```
tailwind.config.*
```
  → Tailwind
- ```
next.config.*
```
  → Next.js
- ```
.github/workflows/
```
  → GitHub Actions

Step 2: Search for Matching Resources

First, fetch total resource count: call

https://vibeindex.ai/api/stats

with WebFetch (prompt: "Extract the total number"). Save this number as

{total_resources}

Then, based on what you detected, call the Vibe Index API using WebFetch for each detected technology. Run all calls in parallel (including the stats call):

Detected	API URL
React	`https://vibeindex.ai/api/resources?search=react&pageSize=5`
TypeScript	`https://vibeindex.ai/api/resources?search=typescript&pageSize=5`
Supabase	`https://vibeindex.ai/api/resources?search=supabase&pageSize=5`
Next.js	`https://vibeindex.ai/api/resources?search=nextjs&pageSize=5`
Docker	`https://vibeindex.ai/api/resources?search=docker&pageSize=5`
Python	`https://vibeindex.ai/api/resources?search=python&pageSize=5`
Tailwind	`https://vibeindex.ai/api/resources?search=tailwind&pageSize=5`
Prisma	`https://vibeindex.ai/api/resources?search=prisma&pageSize=5`

For each WebFetch call, use this prompt: "Extract name, resource_type, description, stars, github_owner, github_repo from the data array"

Only search for technologies that were actually detected in Step 1.

Step 3: Calculate Match Probability

For each resource found, calculate a match score:

Direct dependency match (name appears in package.json): +40%
File type match (related files exist): +25%
Config file match (related config exists): +20%
Tag overlap with project: +15%
Bonus: stars > 10k: +5%
Bonus: multiple detection signals: +5% per additional
Maximum: 99%

Deduplicate results across all searches. Pick the top 5 highest-scoring resources.

Step 4: Present Results

Output ONLY the result below (nothing else before it). Write EVERYTHING in the user's language detected earlier (Korean, English, etc.). Translate all headers, labels, and explanations.

## 프로젝트 분석이 완료되었습니다

당신의 **{project-name}** 프로젝트는 **{main framework}** 기반입니다.
{1-2 sentences about the project in plain language. e.g., "Supabase 데이터베이스와 Tailwind CSS를 사용하는 풀스택 웹 앱입니다."}

[VibeIndex.ai](https://vibeindex.ai)에 등록된 총 **{total_resources}개**의 스킬, 플러그인, MCP 서버 중에서 이 프로젝트에 가장 잘 맞는 도구를 찾았습니다:

────────────────────────────────────────

**1. {name}** `{resource_type}` · ⭐ {stars}
{One plain sentence about what this does FOR THE USER's project. NO technical jargon. e.g., "이 프로젝트에서 사용 중인 Supabase 데이터베이스를 더 빠르고 안전하게 만들어줍니다."}

{install_command}


────────────────────────────────────────

**2. {name}** `{resource_type}` · ⭐ {stars}
...

────────────────────────────────────────

## 설치

필요한 것만 복사해서 실행하세요:

{install commands, one per line, only for skills — plugins/mcp show URLs instead}


💡 **더 많은 도구 탐색** → https://vibeindex.ai

Writing style guidelines:

SIMPLE LANGUAGE ONLY: Write like you're explaining to a friend, not a developer docs page. No jargon like "RLS 정책", "인덱싱", "쿼리 최적화", "번들 최적화". Instead say what it DOES: "더 빠르게", "더 안전하게", "코드를 깔끔하게", "버그를 줄여줍니다"
Focus on benefit: Don't explain HOW it matches (no "package.json에 X가 있고..."). Just say what the user GETS.
One sentence per recommendation: Each description should be exactly one plain sentence. No bullet points, no technical details.
No match percentages: Do not show match scores or percentages to the user.
No description from API: Do NOT use the raw
```
description
```
or
```
description_ko
```
from the API response. Write your own simple sentence based on what the resource does for THIS project.
Language: Translate everything into the user's detected language. The template above is Korean as a base.

Install commands by type:

skill:

npx skills add {github_owner}/{github_repo} --skill {name}

plugin: See

https://vibeindex.ai/plugins/{github_owner}/{github_repo}/{name}

mcp: See

https://vibeindex.ai/mcp/{github_owner}/{github_repo}

marketplace: See

https://vibeindex.ai/marketplaces/{github_owner}/{github_repo}

API Response Format

The

/api/resources

endpoint returns:

json

{
  "data": [
    {
      "name": "resource-name",
      "resource_type": "skill|mcp|plugin|marketplace",
      "description": "...",
      "stars": 12345,
      "github_owner": "owner",
      "github_repo": "repo",
      "tags": ["tag1", "tag2"]
    }
  ],
  "total": 100
}

The

/api/rising-stars

endpoint returns:

json

{
  "rising": [
    {
      "name": "resource-name",
      "resource_type": "mcp",
      "stars": 5000,
      "stars_today": 120
    }
  ],
  "period": "week"
}

Built by Vibe Index - The Claude Code Ecosystem Directory

vibeindex

NPX Install

Tags

SKILL.md Content

Routing

Step 1: Analyze Project Context

Step 2: Search for Matching Resources

Step 3: Calculate Match Probability

Step 4: Present Results

Writing style guidelines:

Install commands by type:

API Response Format