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Glama
by hongsw
agents-search.md2.45 kB
# /agents:search Search for specific agents by skills, domain, or keywords. ## Usage ``` /agents:search <query> [--flags] ``` ## Parameters - `query` (required): Search terms (skills, domain, keywords) - `--language <lang>`: Limit search to specific language (en, ko, ja, zh) - `--fuzzy`: Enable fuzzy matching for broader results - `--exact`: Require exact keyword matches - `--limit <n>`: Limit number of results (default: 10) ## Examples ``` /agents:search "machine learning" /agents:search "frontend react" --language en /agents:search "데이터 분석" --language ko --fuzzy /agents:search "security audit" --exact --limit 5 /agents:search "project management agile" ``` ## Description This command performs intelligent search across all available agents to find the best matches for your specific needs. It searches through: - Agent names and titles - Skill descriptions and capabilities - Tool permissions and specializations - Keywords and tags The search algorithm considers: 1. **Exact matches**: Direct keyword matches in titles and descriptions 2. **Semantic similarity**: Related concepts and synonyms 3. **Skill relevance**: Matching technical and soft skills 4. **Language context**: Language-specific terms and concepts ## Search Categories - **Technical Skills**: programming languages, frameworks, tools - **Domain Expertise**: industry knowledge, business domains - **Methodologies**: agile, DevOps, security practices - **Soft Skills**: communication, leadership, analysis ## Results Format Each result shows: - **Relevance Score**: How well the agent matches your query (0-100%) - **Agent Details**: Name, role, primary capabilities - **Key Skills**: Highlighted matching skills and expertise - **Languages Available**: Which language versions exist - **Usage Suggestion**: How to best utilize this agent ## Smart Features - **Auto-suggestions**: Related search terms and refinements - **Multi-language**: Searches work across all supported languages - **Context awareness**: Learns from your project context - **Recommendation engine**: Suggests complementary agents ## Integration Tips - Use specific technical terms for better precision - Combine multiple keywords for complex requirements - Try different languages if working in international teams - Use --fuzzy for exploratory discovery of related expertise Perfect for finding the right expertise when you know what you need but not exactly which role provides it.

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