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
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install calvinxhk/botlearn-google-searchExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
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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