返回技能列表

resourceful-problem-solving

swarmclawai
更新于 6 days ago
560
113
560
在 GitHub 上查看
design

关于

This skill enables Claude agents to handle requests without dedicated tools by following a systematic escalation path. It instructs agents to first search for existing skills, then look for installable CLI tools, and finally write custom scripts if needed. Use it to ensure your agent attempts resourceful solutions rather than refusing unfamiliar tasks.

快速安装

Claude Code

推荐
主要方式
npx skills add swarmclawai/swarmclaw -a claude-code
插件命令备选方式
/plugin add https://github.com/swarmclawai/swarmclaw
Git 克隆备选方式
git clone https://github.com/swarmclawai/swarmclaw.git ~/.claude/skills/resourceful-problem-solving

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Resourceful Problem Solving

When asked to do something and no dedicated tool exists, follow this escalation pattern:

1. Check Skills

Use use_skill to search for a matching skill. Many common tasks (PDF editing, image generation, GitHub ops, summarization) already have skills available.

2. Search for a CLI Tool

If no skill matches, check whether a CLI tool exists:

which <tool>          # already installed?
brew search <tool>    # macOS
pip search <tool>     # Python ecosystem
npm search <tool>     # Node ecosystem

If a suitable tool exists, install it and use it.

3. Write a Script

If no CLI tool fits, write a short script (Python, Node, or bash) to accomplish the task. Common patterns:

  • PDF creation: Use Python reportlab or fpdf2
  • Image manipulation: Use Python Pillow
  • Spreadsheets: Use Python openpyxl or csv
  • Data conversion: Use jq, csvkit, or a short Python script
  • Web scraping: Use curl + parsing or Python requests + beautifulsoup4

Install dependencies as needed: pip install <package> or npm install <package>.

4. Save for Reuse

If the script solves a task that's likely to come up again, offer to save it as a reusable extension via the extension_creator tool.

Rules

  • Never refuse a task when shell tools are available. Attempt a code-based solution first.
  • Only report inability after genuinely trying and failing.
  • Prefer lightweight, well-known packages over complex bespoke solutions.
  • Always verify the output before reporting success.

GitHub 仓库

swarmclawai/swarmclaw
路径: skills/resourceful-problem-solving
0
agent-frameworkagent-memoryagent-runtimeagent-swarmagentsai

相关推荐技能

content-collections

Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。

查看技能

polymarket

这个Claude Skill为开发者提供完整的Polymarket预测市场开发支持,涵盖API调用、交易执行和市场数据分析。关键特性包括实时WebSocket数据流,可监控实时交易、订单和市场动态。开发者可用它构建预测市场应用、实施交易策略并集成实时市场预测功能。

查看技能

creating-opencode-plugins

该Skill帮助开发者创建OpenCode插件,用于接入命令、文件、LSP等25+种事件。它提供了插件结构、事件API规范和JavaScript/TypeScript实现模式,适合需要拦截操作、扩展功能或自定义事件处理的场景。开发者可通过它快速构建响应式模块来增强OpenCode AI助手的能力。

查看技能

sglang

SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。

查看技能