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Facilitates knowledge sharing and decision-making.","intents":["I want to share my analysis with my manager for review","I need to embed a query result in a report or dashboard","I want to collaborate with teammates on interpreting results","I need to share a query with someone who doesn't have platform access"],"best_for":["collaborative teams","organizations with stakeholder reporting","teams sharing insights","cross-functional analytics teams"],"limitations":["Shared links may expose sensitive data if not properly configured","Recipients may need platform access for full functionality","Shared results may become stale if underlying data changes","Requires clear permission and access control policies"],"requires":["Query and results to share","Access control and permission system","Shareable link generation","Recipient management"],"input_types":["queries","results","visualizations","annotations"],"output_types":["shareable links","embedded code","exported reports"],"categories":["collaboration","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_coginiti__cap_13","uri":"capability://governance.data.quality.and.validation.checks","name":"data quality and validation checks","description":"Runs automated data quality checks and validation rules on query results to identify anomalies, missing values, and data inconsistencies. 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Helps analysts navigate complex data models and discover relevant tables and columns.","intents":["I want to find which tables contain the metric I'm looking for","I need to understand how tables are related in our data warehouse","I want autocomplete suggestions based on our actual data structure","I need to trace where a column comes from in our data pipeline"],"best_for":["analysts new to a data warehouse","organizations with complex data models","teams with extensive data lineage documentation","self-service analytics users"],"limitations":["Requires comprehensive data lineage metadata to be effective","Cannot suggest tables or columns not documented in lineage","May be overwhelming in very large data warehouses with thousands of tables","Accuracy depends on metadata freshness"],"requires":["Data lineage platform integration","Complete schema and relationship documentation","Metadata refresh cadence"],"input_types":["partial SQL","column names","table names","business concepts"],"output_types":["query suggestions","table recommendations","column completions","lineage diagrams"],"categories":["productivity","data","learning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_coginiti__cap_4","uri":"capability://learning.on.demand.analytics.learning.and.documentation","name":"on-demand analytics learning and documentation","description":"Provides contextual learning resources, documentation, and best practices for SQL development and analytics workflows. 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Logs all query executions for audit purposes.","intents":["I want to ensure analysts can't access sensitive data they shouldn't see","I need to enforce query performance standards before execution","I want to audit which data was accessed by whom and when","I need to prevent non-compliant queries from running"],"best_for":["regulated industries","enterprises with strict data governance","organizations with sensitive data","teams with compliance requirements"],"limitations":["May slow down query execution with policy checks","Requires governance policies to be clearly defined","Can be complex to configure for nuanced access control","May block legitimate queries if policies are too restrictive"],"requires":["Data governance policies defined","Access control rules configured","Integration with identity management systems","Audit logging infrastructure"],"input_types":["SQL queries","user identity","data access policies"],"output_types":["execution logs","audit trails","policy violation alerts","query results"],"categories":["governance","security","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_coginiti__cap_6","uri":"capability://productivity.cloud.based.query.execution.and.caching","name":"cloud-based query execution and caching","description":"Executes SQL queries against connected data warehouses with built-in result caching to improve performance for repeated queries. 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Allows analysts to work with data distributed across different systems.","intents":["I need to join data from multiple data warehouses in one query","I want to query different data sources without switching tools","I need to consolidate analytics across our data infrastructure","I want to migrate queries between different warehouse platforms"],"best_for":["enterprises with multiple data warehouses","organizations in data migration","teams with distributed data","companies with multi-cloud strategies"],"limitations":["Performance may degrade with cross-warehouse joins","Requires connections to all relevant data sources","Query optimization becomes more complex","Data consistency issues may arise across sources","May not support all warehouse-specific SQL dialects"],"requires":["Multiple data warehouse connections","Network connectivity between systems","Understanding of data distribution","Query federation engine configuration"],"input_types":["SQL queries with cross-warehouse references"],"output_types":["federated query results","execution plans"],"categories":["data","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_coginiti__cap_8","uri":"capability://productivity.query.performance.optimization.suggestions","name":"query performance optimization suggestions","description":"Analyzes SQL queries and provides recommendations for optimization, including index suggestions, query rewrites, and execution plan analysis. Helps analysts write more efficient queries.","intents":["I want to make this slow query run faster","I need suggestions for optimizing our analytics queries","I want to understand why this query is taking so long","I need to reduce our data warehouse costs by improving query efficiency"],"best_for":["performance-conscious teams","organizations with large datasets","teams optimizing analytics costs","analytics engineers"],"limitations":["Suggestions may be warehouse-specific","Requires understanding of data distribution and statistics","May not account for business logic constraints","Optimization opportunities vary by data warehouse platform"],"requires":["Query execution history and statistics","Data warehouse statistics and metadata","Understanding of current query performance"],"input_types":["SQL queries","execution plans","performance metrics"],"output_types":["optimization suggestions","rewritten queries","performance estimates"],"categories":["productivity","performance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_coginiti__cap_9","uri":"capability://productivity.query.template.and.pattern.library","name":"query template and pattern library","description":"Maintains a searchable library of reusable SQL query templates, patterns, and examples tailored to the organization's data structures and common analytics use cases. 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