Resource Scout logo

Resource Scout

Organization
nicepkg
resource-scout

Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.

Overview

Publishernicepkg
Repositoryvsync
Skill nameresource-scout
Stars
63
Forks
5
Bundled files
1
LicenseMIT
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 nicepkg on GitHub. Read the source before you install it.

Installation

Install the Resource Scout 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/nicepkg/vsync/tree/main/.claude/skills/resource-scout
  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/nicepkg/vsync.git /tmp/vsync
mkdir -p .claude/skills
cp -r /tmp/vsync/.claude/skills/resource-scout .claude/skills/resource-scout
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resource Scout 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 Resource Scout 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 Resource Scout 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.

Resource Scout

Search and discover existing Claude Code skills and MCP servers before building custom solutions.

Quick Search Strategy

For Skills:

  1. WebSearch: site:skillsmp.com [topic] or claude skill [topic]
  2. Check GitHub: awesome-claude-skills [topic]
  3. Browse: skillhub.club, claudeskills.info

For MCP:

  1. WebSearch: MCP server [tool/service name]
  2. Check: glama.ai/mcp/servers, mcpmarket.com
  3. Official: github.com/modelcontextprotocol/servers

Skill Search Workflow

Step 1: Define Need

Before searching, clarify:

  • What task needs to be accomplished?
  • What tools/services are involved?
  • Is it a common pattern (git, testing, API) or domain-specific?

Step 2: Search Marketplaces

Primary sources (largest catalogs):

SourceURLBest For
SkillsMPskillsmp.com71000+ skills, long-tail search
SkillHub.clubskillhub.clubAI-evaluated, quality filter
Claude Skills Hubclaudeskills.infoUI-friendly browsing

Search patterns:

# On SkillsMP
[domain] skill          → "marketing skill", "database skill"
[framework] claude      → "react claude", "fastapi claude"
[task] automation       → "deployment automation"

Step 3: Search GitHub

Curated lists:

  • github.com/keyuyuan/skillhub-awesome-skills - 精选清单
  • github.com/VoltAgent/awesome-claude-skills - 生态大全
  • github.com/ComposioHQ/awesome-claude-skills - 大量通用技能

Ready-to-use repositories:

  • github.com/alirezarezvani/claude-skills - Content/Marketing
  • github.com/gked2121/claude-skills - Workflow思维
  • github.com/Microck/ordinary-claude-skills - 超大集合
  • github.com/sickn33/antigravity-awesome-skills - 结构化

Search command:

bash
# Use WebSearch tool
site:github.com "claude skill" [topic]
site:github.com "SKILL.md" [topic]

Step 4: Evaluate & Install

When skill found:

  1. Check last update date (prefer recent)
  2. Review SKILL.md for quality
  3. Check if has scripts/references
  4. Install with skill-downloader or manual copy

MCP Server Search Workflow

Step 1: Identify Integration Need

Common patterns:

  • Database access → postgres, mysql, sqlite MCP
  • GitHub workflow → github MCP
  • Cloud services → AWS, GCP, Azure MCPs
  • Communication → slack, discord MCPs
  • File systems → filesystem MCP

Step 2: Search Official Sources

Primary:

  • Official registry: registry.modelcontextprotocol.io
  • Official repo: github.com/modelcontextprotocol/servers

Directories:

SourceURLFeatures
Glamaglama.ai/mcp/serversStars, downloads, updates
MCP Marketmcpmarket.comSkills + MCP combined
mcpservers.orgmcpservers.orgCategorized
PulseMCPpulsemcp.com/serversDaily updates
Smitherysmithery.aiRegistry/distribution

Step 3: Search GitHub

bash
# Use WebSearch tool
site:github.com "mcp server" [service]
site:github.com "@modelcontextprotocol" [service]

Awesome lists:

  • github.com/punkpeye/awesome-mcp-servers
  • github.com/wong2/awesome-mcp-servers

Step 4: Verify & Configure

When MCP found:

  1. Check compatibility (stdio vs HTTP)
  2. Review required environment variables
  3. Test connection locally
  4. Add to .claude/settings.json

Search by Category

Development Tools

Skills: "code review skill", "git commit skill", "testing skill"
MCP: "github mcp", "gitlab mcp", "jira mcp"

Databases

Skills: "database skill", "sql skill", "migration skill"
MCP: "postgres mcp", "mysql mcp", "mongodb mcp"

Content & Marketing

Skills: "content creator skill", "seo skill", "social media skill"
MCP: "wordpress mcp", "notion mcp"

Cloud & DevOps

Skills: "deployment skill", "kubernetes skill", "terraform skill"
MCP: "aws mcp", "gcp mcp", "azure mcp"

AI & Data

Skills: "data analysis skill", "ml skill"
MCP: "openai mcp", "huggingface mcp"

Complete Source Reference

See references/sources.md for full directory of all skill and MCP sources with detailed descriptions.

Best Practices

  1. Search before build - Always check existing resources first
  2. Prefer maintained - Choose skills with recent updates
  3. Check quality - Review SKILL.md structure and content
  4. Consider combining - Multiple simple skills > one complex custom
  5. Verify security - Review MCP permissions and token scopes

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 Resource Scout AI skill do?

Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.

Why use Resource Scout on TypingMind?

Because you install it once and use it with any model. Resource Scout 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 Resource Scout in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nicepkg/vsync/tree/main/.claude/skills/resource-scout. 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 Resource Scout?

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 Resource Scout?

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

Is the Resource Scout AI skill free?

Yes. It is published on GitHub by nicepkg under the MIT license. 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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