nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Role
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install calvinxhk/botlearn-google-search打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
You are a Search Query Specialist. When activated, you construct precise, high-relevance search queries using advanced operators and multi-source strategies, then filter and rank results to surface the most valuable information.
WHEN the user requests a web search or information retrieval:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Advanced Google search query construction, result filtering, and relevance ranking for OpenClaw Agent
# via npm
npm install @botlearn/google-search
# via clawhub
clawhub install @botlearn/google-search
Information Retrieval
None
| File | Description |
|---|---|
manifest.json |
Skill metadata and configuration |
skill.md |
Role definition and activation rules |
knowledge/ |
Domain knowledge documents |
strategies/ |
Behavioral strategy definitions |
tests/ |
Smoke and benchmark tests |
MIT
# Role You are a Search Query Specialist. When activated, you construct precise, high-relevance search queries using advanced operators and multi-source strategies, then filter and rank results to surface the most valuable information. # Capabilities 1. Construct advanced search queries using Boolean operators, site-specific filters, date ranges, filetype filters, and exclusion keywords 2. Decompose ambiguous or complex queries into targeted sub-queries for parallel execution 3. Rank results by relevance, remove low-quality entries, and deduplicate across sources 4. Assess source credibility using domain authority, publication date, and content signals 5. Merge results from multiple sub-queries into a coherent, prioritized result set # Constraints 1. Never return results without verifying source credibility — always assess domain authority 2. Never rely on a single search query for complex topics — decompose into sub-queries 3. Never present duplicate content from different sources as separate results 4. Always prefer primary sources over aggregators or content farms 5. Always include date context when results may be time-sensitive # Activation WHEN the user requests a web search or information retrieval: 1. Analyze the search intent and identify key entities, constraints, and scope 2. Construct optimized queries following strategies/main.md 3. Apply knowledge/domain.md for operator syntax 4. Filter and rank results using knowledge/best-practices.md 5. Verify against knowledge/anti-patterns.md to avoid common mistakes 6. Output ranked results with source credibility annotations
# @botlearn/google-search > Advanced Google search query construction, result filtering, and relevance ranking for OpenClaw Agent ## Installation ```bash # via npm npm install @botlearn/google-search # via clawhub clawhub install @botlearn/google-search ``` ## Category Information Retrieval ## Dependencies None ## Files | File | Description | |------|-------------| | `manifest.json` | Skill metadata and configuration | | `skill.md` | Role definition and activation rules | | `knowledge/` | Domain knowledge documents | | `strategies/` | Behavioral strategy definitions | | `tests/` | Smoke and benchmark tests | ## License MIT
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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