数据库测试
- 作者仓库星标 193
- 许可证 MIT
- 作者更新于 实时读取
- 作者仓库 ai-workflow
- 领域
- AI 智能
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 94 / 100 · 已通过审计
- 作者 / 版本 / 许可
- @nicepkg · MIT
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- 无特殊要求
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 读取环境变量
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: resource-scout
description: Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, a…
category: AI 智能
runtime: 无特殊运行时
---
# resource-scout 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Quick Search Strategy / Skill Search Workflow / Step 1: Define Need”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Quick Search Strategy / Skill Search Workflow / Step 1: Define Need”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、读取环境变量、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、读取环境变量;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、读取环境变量。
先用一个小任务确认它会围绕“Quick Search Strategy / Skill Search Workflow / Step 1: Define Need”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: resource-scout
description: Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, a…
category: AI 智能
source: nicepkg/ai-workflow
---
# resource-scout
## 什么时候使用
- 把 AI / Agent方向的常用动作沉淀成 Agent 可调用的技能 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Quick Search Strategy / Skill Search Workflow / Step 1: Define Need」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、读取环境变量;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "resource-scout" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Quick Search Strategy / Skill Search Workflow / Step 1: Define Need
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> 无特殊运行时 | 读取文件、写入/修改文件、读取环境变量 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Resource Scout
Search and discover existing Claude Code skills and MCP servers before building custom solutions.
Quick Search Strategy
For Skills:
- WebSearch:
site:skillsmp.com [topic]orclaude skill [topic] - Check GitHub:
awesome-claude-skills [topic] - Browse: skillhub.club, claudeskills.info
For MCP:
- WebSearch:
MCP server [tool/service name] - Check: glama.ai/mcp/servers, mcpmarket.com
- 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):
| Source | URL | Best For |
|---|---|---|
| SkillsMP | skillsmp.com | 71000+ skills, long-tail search |
| SkillHub.club | skillhub.club | AI-evaluated, quality filter |
| Claude Skills Hub | claudeskills.info | UI-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/Marketinggithub.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:
# Use WebSearch tool
site:github.com "claude skill" [topic]
site:github.com "SKILL.md" [topic]
Step 4: Evaluate & Install
When skill found:
- Check last update date (prefer recent)
- Review SKILL.md for quality
- Check if has scripts/references
- 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:
| Source | URL | Features |
|---|---|---|
| Glama | glama.ai/mcp/servers | Stars, downloads, updates |
| MCP Market | mcpmarket.com | Skills + MCP combined |
| mcpservers.org | mcpservers.org | Categorized |
| PulseMCP | pulsemcp.com/servers | Daily updates |
| Smithery | smithery.ai | Registry/distribution |
Step 3: Search GitHub
# Use WebSearch tool
site:github.com "mcp server" [service]
site:github.com "@modelcontextprotocol" [service]
Awesome lists:
github.com/punkpeye/awesome-mcp-serversgithub.com/wong2/awesome-mcp-servers
Step 4: Verify & Configure
When MCP found:
- Check compatibility (stdio vs HTTP)
- Review required environment variables
- Test connection locally
- 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
- Search before build - Always check existing resources first
- Prefer maintained - Choose skills with recent updates
- Check quality - Review SKILL.md structure and content
- Consider combining - Multiple simple skills > one complex custom
- Verify security - Review MCP permissions and token scopes
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核