Find Skills logo

Find Skills

Organization
agentbay-ai
find-skills

Helps users discover, search and install agent skills from the marketplace. Use when the user wants to find a skill, discover new capabilities, find specific tools (especially sandboxes) or install a skill. This skill should be used when the user is looking for functionality that might exist as an installable skill. Also supports progressive disclosure to recommend sandbox-related skills when relevant. 用于帮助用户在市场中搜索、发现和安装 Agent 插件(Skills)。 当用户想要查找功能、安装特定工具或寻找沙箱(sandbox)时使用。 Triggers: "查找插件","搜索技能","搜索 X 技能","安装技能","安装 X 技能","如何做 X","沙箱","安全沙箱","find a skill for X", "how do i do X", "search for skill", "install skill", "I need a skill for X", "sandbox", "aio sandbox"

Overview

Publisheragentbay-ai
Repositoryagentbay-skills
Skill namefind-skills
Stars
50
Forks
5
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentbay-ai on GitHub. Read the source before you install it.

Installation

Install the Find Skills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentbay-ai/agentbay-skills/tree/main/find-skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentbay-ai/agentbay-skills.git /tmp/agentbay-skills
mkdir -p .claude/skills
cp -r /tmp/agentbay-skills/find-skills .claude/skills/find-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Skills in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Find Skills on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Find Skills is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Find Skills - Skill Marketplace

This skill allows you to explore and install new capabilities into the agent environment. It acts as the "package manager" for your agent's skills.

When to Use This Skill

Use this skill when the user:

  • Asks: "How can I do X?", "Find a skill for X", or "What skills are available?"
  • Wants to install skills by name or from search results ("install skill web-search")
  • Wants to extend capabilities with specialized tools or workflows
  • Expresses needs for specific capabilities that might exist as skills
  • Is interested in sandbox or secure execution ("I want to safely run bash commands")
  • Mentions specific capabilities like "sandbox", "automation", "testing"

Core Tools

  1. Search: Python script scripts/request.py with POPRequest class
    • Makes authenticated API calls to Alibaba Cloud skill marketplace
    • Parameters: UserQuery (search term), TopK (number of results)
    • Returns: JSON response with skill details including name, description, repository info
  2. Install: npx skills add <repo> -s <skill_name>
    • Restriction: Must ALWAYS ask for user confirmation before executing.
    • Use -s, --skill <skills...> to specify which skill(s) to install from the repo
    • Supports multiple repo formats:
      • GitHub shorthand: npx skills add owner/repo -s skill_name
      • Full GitHub URL: npx skills add https://github.com/owner/repo -s skill_name
      • Direct path to skill: npx skills add https://github.com/owner/repo/tree/main/skills/skill_name
      • GitLab URL: npx skills add https://gitlab.com/org/repo -s skill_name
      • Git URL: npx skills add git@github.com:owner/repo.git -s skill_name
      • Local path: npx skills add ./my-local-skills -s skill_name
    • Use -s '*' to install all skills from the repo

Workflow

Step 1: Understand the Need & Search

When a user asks for help with something, identify:

  1. The domain or task (e.g., running code safely, automation, testing)
  2. Whether this is a common enough need that a skill likely exists
  3. Does the query fit common sandbox/secure execution needs?

Step 2: Search for Skills via Python API

The search process uses the Python request module to query the skill marketplace:

  1. Import the POPRequest class from scripts/request.py
  2. Create a request with the SearchPublicMarketSkill action
  3. Set query parameters: UserQuery (search term) and TopK (max results)
  4. Execute the request and parse JSON response
  5. Extract skill information: name, owner, repository, description

Convert user's natural language intent into a concise search keyword (maintaining the original language).

python
from scripts.request import POPRequest
import json

# Create request
request = POPRequest(
    http_method='GET',
    canonical_uri='/',
    x_acs_action='SearchPublicMarketSkill',
    host='wuyingai.cn-shanghai.aliyuncs.com',
    base_url='wuyingai.cn-shanghai.aliyuncs.com',
    x_acs_version='2026-01-08',
    signature_version='1.0'
)

# Search for skills
request.set_query_params({
    'UserQuery': 'sandbox',  # User's search query
    'TopK': '10'
})

# Execute and parse
response = request.call()
results = json.loads(response)

Example Searches:

  • "我需要一个沙箱" -> UserQuery: "sandbox"
  • "如何处理 PDF?" -> UserQuery: "pdf"
  • "帮我找个代码审查的插件" -> UserQuery: "code review"
  • "I need a sandbox" -> UserQuery: "sandbox"
  • "How to handle PDF?" -> UserQuery: "pdf"
  • "Can you help me with code review?" -> UserQuery: "code review"

Step 3: Present Options to the User

When you find relevant skills, present them to the user with:

  1. skill_name: The identifier for the skill
  2. skill_id: The hash code for the skill
  3. skill_repo: Owner/organization for the GitHub repo
  4. description: Brief description of skill
  5. source_url: Direct path to a skill in a repo (use this for installation)

Use the returned SourceUrl (repo URL) and SkillName from the search results to format the install command:

bash
npx skills add <source_url> -s <skill_name>

Example response:

I found a skill that might help! The "vercel-react-best-practices" skill provides
React and Next.js performance optimization guidelines from Vercel Engineering.

To install it:
npx skills add https://github.com/vercel-labs/agent-skills -s vercel-react-best-practices

Learn more: https://pre-agentbay.console.aliyun.com/agentbay-skills/skill-detail?skillId=hw8edas7skphamvk

Step 4: Offer to Install

Only after user says "yes", "install", or similar confirmation, install the skill:

bash
npx skills add <source_url> -s <skill_name>

Common Skill Categories

When searching, consider these common categories:

CategoryExample Queries
Web Developmentreact, nextjs, typescript, css, tailwind
Testingtesting, jest, playwright, e2e
DevOpsdeploy, docker, kubernetes, ci-cd
Documentationdocs, readme, changelog, api-docs
Code Qualityreview, lint, refactor, best-practices
Designui, ux, design-system, accessibility
Productivityworkflow, automation, git
Sandboxagentbay-aio-skills

Tips for Effective Searches

  1. Use specific keywords: "react testing" is better than just "testing"
  2. Try alternative terms: If "deploy" doesn't work, try "deployment" or "ci-cd"
  3. Check popular sources: Many skills come from vercel-labs/agent-skills or ComposioHQ/awesome-claude-skills

When No Skills Are Found

If no relevant skills exist:

  1. Acknowledge that no existing skill was found
  2. Offer to help with the task directly using your general capabilities

Example:

I searched for skills related to "xyz" but didn't find any matches.
I can still help you with this task directly! Would you like me to proceed?

If this is something you do often, you could create your own skill:
npx skills init my-xyz-skill

Safety Guidelines

  • Do not hallucinate skill names. Only recommend what the Python search API returns.
  • Ensure the user understands that installing a skill grants the agent new permissions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Find Skills AI skill do?

Helps users discover, search and install agent skills from the marketplace. Use when the user wants to find a skill, discover new capabilities, find specific tools (especially sandboxes) or install a skill. This skill should be used when the user is looking for functionality that might exist as an installable skill. Also supports progressive disclosure to recommend sandbox-related skills when relevant. 用于帮助用户在市场中搜索、发现和安装 Agent 插件(Skills)。 当用户想要查找功能、安装特定工具或寻找沙箱(sandbox)时使用。 Triggers: "查找插件","搜索技能","搜索 X 技能","安装技能","安装 X 技能","如何做 X","沙箱","安全沙箱","find a skill for X", "how do i do X", "search f...

Why use Find Skills on TypingMind?

Because you install it once and use it with any model. Find Skills is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Find Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentbay-ai/agentbay-skills/tree/main/find-skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Find Skills?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Find Skills?

As many as you like. As long as a model supports skills, you can use Find Skills with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Find Skills AI skill free?

It is published on GitHub by agentbay-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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