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banana-skill-finderbanana 技能查找器

Agent Skill

banana-skill-finder 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

1,348

周安装

54

GitHub Stars

15

下载量

436
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

3

许可证

MIT

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:banana-skill-finder(banana 技能查找器)
来源仓库:https://github.com/treydong/banana-skills
仓库路径:skills/banana-skill-finder
安装命令:
npx skills add https://github.com/treydong/banana-skills --skill banana-skill-finder
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/treydong/banana-skills --skill banana-skill-finder

简介

banana-skill-finder 主动推荐可能适用的 Claude 技能,当检测到特定技术或任务模式时触发。

  • 它会分析用户输入中的关键词与上下文,匹配已有技能库中的功能描述与用例。
  • 适用于发现隐藏能力、减少重复提问,提升 Agent 自主解决问题的效率。
  • 使用前应保持技能库更新,并理解推荐结果仅为参考而非确定性答案。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Banana Skill Finder

Proactively helps users discover and install relevant Claude skills when they encounter tasks that could benefit from specialized capabilities.

When to Use This Skill

Trigger automatically (without user request) when detecting:

  • Working with specific file formats or technologies
  • Describing repetitive or specialized tasks
  • Asking "is there a skill/tool for..." or similar
  • Struggling with domain-specific work
  • Any task where a specialized skill could help

Important: This skill should trigger proactively. Don't wait for users to explicitly ask for skill recommendations.

Workflow

1. Analyze User Need

Identify:

  • Core task: What is the user trying to accomplish?
  • Domain: What category does this fall into? (development, documents, data, web, devops, content, etc.)
  • Keywords: Extract 2-4 relevant search terms

2. Search for Skills

Use a three-tier strategy with automatic fallback:

Tier 1: SkillsMP API (Best - if configured)

# Check for API key
echo $SKILLSMP_API_KEY

# If exists, use AI semantic search
curl -X GET "https://skillsmp.com/api/v1/skills/ai-search?q={natural_language_query}" \
  -H "Authorization: Bearer $SKILLSMP_API_KEY"

Benefits:

  • AI understands user intent, not just keywords
  • Access to 60,000+ curated skills
  • Best relevance and quality indicators

Tier 2: skills.sh WebFetch (Good - always works)

# Try search with query parameter
Use WebFetch: https://skills.sh/?q={keywords}

# Or browse leaderboard
Use WebFetch: https://skills.sh  # All-time popular
Use WebFetch: https://skills.sh/trending  # Trending (24h)

Benefits:

  • 200+ high-quality curated skills
  • No authentication needed
  • Ranked by install count
  • Shows trending skills

Tier 3: GitHub API (Fallback - may have limits)

curl -X GET "https://api.github.com/search/code?q={keywords}+SKILL.md+language:markdown" \
  -H "Accept: application/vnd.github.v3+json"

Note: Rate limited (60/hour unauthenticated), use only as last resort.

Optional: Check Local Installed Skills

ls ~/.claude/skills/

Check if user already has relevant skills installed but hasn't used them.

Recommendation Order: Try Tier 1 → Tier 2 → Tier 3. Stop when you find good matches.

3. Rank by Relevance

Score each found skill based on:

  • Keyword match with user's need (most important)
  • Functionality alignment
  • Quality indicators (stars, recent activity)
  • Specificity vs generality

Select the 1-3 most relevant skills. Quality over quantity.

4. Present Recommendations

Format recommendations as:

I found [N] skill(s) that could help:

**1. [Skill Name]** - [One-line description]
   Source: [SkillsMP/GitHub/Vercel]
   Repository: [owner/repo]
   Why relevant: [Brief explanation]
   Install: `npx skills add [owner]/[repo]`

[Repeat for 2-3 skills max]

Would you like me to install any of these?

5. Install if Approved

When user approves, install using Vercel's skills CLI:

npx skills add <owner>/<repo>

Examples:

npx skills add vercel-labs/agent-skills
npx skills add anthropics/skills

This command:

  • Downloads the skill from GitHub
  • Installs to ~/.claude/skills/
  • Works with Claude Code, Cursor, Windsurf, and other agents
  • Tracks installation via anonymous telemetry (leaderboard)

Confirm installation success and explain how the skill will help.

Key Principles

  1. Proactive, Not Reactive: Trigger automatically when relevant, don't wait to be asked
  2. Quality Over Quantity: Recommend only 1-3 best matches, not a long list
  3. Smart Three-Tier Search:

- Tier 1: SkillsMP AI search (best, if configured) - Tier 2: skills.sh leaderboard (good, always works) - Tier 3: GitHub API (fallback, rate limited) - Stop when you find good matches

  1. Explain Relevance: Always explain why each skill matches their need
  2. Easy Installation: Use npx skills add owner/repo for one-command installation
  3. API Key Recommended but Optional: Best results with SkillsMP API key, but skills.sh fallback works well

Examples

User says: "I need to extract text from a PDF file" → Trigger skill-finder, search for PDF processing skills, recommend pdf-editor or similar

User says: "Help me review this React component" → Trigger skill-finder, search for React/code-review skills, recommend react-best-practices from Vercel

User says: "I'm deploying to AWS" → Trigger skill-finder, search for AWS/deployment skills, recommend cloud-deploy or aws-helper

User says: "How do I query this BigQuery table?" → Trigger skill-finder, search for BigQuery/SQL skills, recommend bigquery or data-analysis skills

Additional Resources

For detailed information:

Setup Recommendations

For best results, suggest users configure SkillsMP API key:

  1. Visit https://skillsmp.com/docs/api
  2. Generate API key
  3. Set environment variable: export SKILLSMP_API_KEY="sk_live_..."

This enables AI semantic search (much better than keyword matching). Without it, the skill automatically falls back to skills.sh leaderboard search, which still works well for most cases.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenCode

27.54%
按下载量换算120

Claude Code

23.13%
按下载量换算101

Antigravity

18.04%
按下载量换算79

Gemini CLI

10.68%
按下载量换算47

Cursor

8.02%
按下载量换算35

Codex

3.29%
按下载量换算14

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

继续浏览同类 Skills