$/i |dZdZdZddddddZdd d d d dd ddd ddddd ddddd ddddd dZdefdZdZgdZy)a6 Genesis System Skills Library A comprehensive collection of AI-powered skills for the Genesis orchestration system. Each skill is designed to be modular, self-contained, and ready for integration. Available Skills: ----------------- 1. WebIntelligence (web_intelligence.py) - Web scraping using Firecrawl patterns - Branding extraction, screenshots, site maps - Knowledge base storage 2. LongDocumentAnalyzer (long_document_analyzer.py) - Process documents up to 1M+ tokens - Chunking with memory mechanism - Qwen-Long inspired patterns 3. CodeAnalyzer (code_analyzer.py) - LSP integration patterns - 10x token reduction for code navigation - Hybrid grep + precise lookup 4. ModelSelector (model_selector.py) - Automatic optimal model selection - Multi-Model-Orchestration patterns - Returns recommendation with reasoning 5. ResearchAgent (research_agent.py) - Autonomous research capability - Web search, analysis, synthesis - Persistent memory for findings Usage: ------ Each skill can be used as a standalone script: python -m genesis.skills.web_intelligence https://example.com python -m genesis.skills.long_document_analyzer document.pdf --query "summarize" python -m genesis.skills.code_analyzer /path/to/project python -m genesis.skills.model_selector --task "analyze this code" python -m genesis.skills.research_agent "quantum computing advances" Or imported programmatically: from genesis.skills.web_intelligence import WebIntelligence from genesis.skills.long_document_analyzer import LongDocumentAnalyzer from genesis.skills.code_analyzer import CodeAnalyzer from genesis.skills.model_selector import ModelSelector from genesis.skills.research_agent import ResearchAgent Integration with Genesis Orchestrator: -------------------------------------- All skills follow a consistent pattern for orchestrator integration: 1. Each skill has a main() function as the entry point 2. Results are returned as dataclass objects with to_dict() methods 3. Knowledge base storage is automatic 4. Error handling is built-in 5. Logging is standardized For orchestrator integration, use the skill registry: from genesis.skills import SKILL_REGISTRY skill = SKILL_REGISTRY['research'] result = skill.execute(query="your query") z1.0.0zGenesis Systemweb_intelligencelong_document_analyzer code_analyzermodel_selectorresearch_agent)rrrrrWebIntelligencez'Web scraping and intelligence gatheringanalyze_website)moduleclass description entry_pointLongDocumentAnalyzerz"Long document analysis with memoryanalyze CodeAnalyzerzCode analysis with LSP patternsanalyze_project ModelSelectorzOptimal model selection select_model ResearchAgentzAutonomous research agentresearch)webdocumentcodemodelr skill_namec |tvr,td|dttjt|}|d}|d}ddl}|j d|t }t||}|S) a% Get a skill instance by name. Args: skill_name: Name of the skill ('web', 'document', 'code', 'model', 'research') Returns: Skill instance ready for use Example: skill = get_skill('research') result = skill.research("quantum computing") zUnknown skill: z . Available: r r N.)package)SKILL_REGISTRY ValueErrorlistkeys importlib import_module__name__getattr)r skill_info module_name class_namer"r skill_classs (/mnt/e/genesis-system/skills/__init__.py get_skillr+xs'?:,mDI\I\I^D_C`abb +JX&KG$J  $ $q %6 $ IF&*-K =cdtjDcic] \}}||d c}}Scc}}w)z,List all available skills with descriptions.r )ritems)nameinfos r* list_skillsr1s;)..0  D$ d=!!  s,)r+r1r __version__N) __doc__r2 __author___skill_modulesrstrr+r1__all__r,r*r9sFP  +6$&& %"@(  +'; "8(  # 0% # 2! 3D#: r,