Agent Skills › swarmclawai/swarmclaw › resourceful-problem-solving

resourceful-problem-solving

GitHub

提供无专用工具时的任务解决指南，指导Agent通过技能搜索、CLI工具查找及编写脚本层层升级解决问题，避免直接拒绝请求。

skills/resourceful-problem-solving/SKILL.md swarmclawai/swarmclaw

Trigger Scenarios

用户提出需求但无对应专用工具需要执行通用数据处理或自动化任务

Install

npx skills add swarmclawai/swarmclaw --skill resourceful-problem-solving -g -y

More Options

Use without installing

npx skills use swarmclawai/swarmclaw@resourceful-problem-solving

指定 Agent (Claude Code)

npx skills add swarmclawai/swarmclaw --skill resourceful-problem-solving -a claude-code -g -y

安装 repo 全部 skill

npx skills add swarmclawai/swarmclaw --all -g -y

预览 repo 内 skill

npx skills add swarmclawai/swarmclaw --list

SKILL.md

Frontmatter

{
    "name": "resourceful-problem-solving",
    "always": true,
    "description": "Always-on guidance for solving tasks resourcefully. Teaches agents to escalate through skills, CLI tools, and custom scripts instead of refusing. Applies to any request where the agent lacks a dedicated tool."
}

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.