resource-scout — browser-extension resource-scout, chat2poster, community, browser-extension, ide skills, chatgpt, export, gemini, nextjs, poster, Claude Code

v1.0.0
GitHub

关于此技能

非常适合需要将 AI 聊天对话以 PNG 图像形式导出用于分享和演示的视觉分析代理。 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.

# 核心主题

browser-extension chatgpt export gemini nextjs poster
nicepkg nicepkg
[1]
[0]
更新于: 2/10/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
39
Canonical Locale
zh
Detected Body Locale
zh

非常适合需要将 AI 聊天对话以 PNG 图像形式导出用于分享和演示的视觉分析代理。 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.

核心价值

赋予代理捕获和分享来自 ChatGPT、Claude 和 Gemini 的对话的能力，以 PNG 图像的形式呈现，通过 Model Context Protocol (MCP) 等协议和利用 Web 搜索策略，实现更容易的沟通和协作。

适用 Agent 类型

非常适合需要将 AI 聊天对话以 PNG 图像形式导出用于分享和演示的视觉分析代理。

↓ 赋予的主要能力 · resource-scout

导出对话用于演示
以 PNG 图像形式共享 AI 聊天日志
记录与 Claude Code 技能的交互

! 使用限制与门槛

  • 需要访问 ChatGPT、Claude 或 Gemini 的对话
  • 仅限 PNG 图像导出格式

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致，便于搜索引擎理解页面内容。

? FAQ

resource-scout 是什么？

非常适合需要将 AI 聊天对话以 PNG 图像形式导出用于分享和演示的视觉分析代理。 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.

如何安装 resource-scout？

运行命令：npx killer-skills add nicepkg/chat2poster。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

resource-scout 适用于哪些场景？

典型场景包括：导出对话用于演示、以 PNG 图像形式共享 AI 聊天日志、记录与 Claude Code 技能的交互。

resource-scout 支持哪些 IDE 或 Agent？

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

resource-scout 有哪些限制？

需要访问 ChatGPT、Claude 或 Gemini 的对话；仅限 PNG 图像导出格式。

↓ 安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行：npx killer-skills add nicepkg/chat2poster。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    resource-scout 已启用，可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考，但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论，再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

resource-scout

安装 resource-scout，这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf，一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

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
1# Use WebSearch tool
2site:github.com "claude skill" [topic]
3site: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
1# Use WebSearch tool
2site:github.com "mcp server" [service]
3site: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

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