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3802bca865
Plugin Scope Improvements: - Remove language-specialists plugin (not task-focused) - Split specialized-domains into 5 focused plugins: * blockchain-web3 - Smart contract development only * quantitative-trading - Financial modeling and trading only * payment-processing - Payment gateway integration only * game-development - Unity and Minecraft only * accessibility-compliance - WCAG auditing only - Split business-operations into 3 focused plugins: * business-analytics - Metrics and reporting only * hr-legal-compliance - HR and legal docs only * customer-sales-automation - Support and sales workflows only - Fix infrastructure-devops scope: * Remove database concerns (db-migrate, database-admin) * Remove observability concerns (observability-engineer) * Move slo-implement to incident-response * Focus purely on container orchestration (K8s, Docker, Terraform) - Fix customer-sales-automation scope: * Remove content-marketer (unrelated to customer/sales workflows) Marketplace Statistics: - Total plugins: 27 (was 22) - Tool coverage: 100% (42/42 tools referenced) - Fat plugins removed: 3 (language-specialists, specialized-domains, business-operations) - All plugins now have clear, focused tasks Model Migration: - Migrate all 42 tools from claude-sonnet-4-0/opus-4-1 to model: sonnet - Migrate all 15 workflows from claude-opus-4-1 to model: sonnet - Use short model syntax consistent with agent files Documentation Updates: - Update README.md with refined plugin structure - Update plugin descriptions to be task-focused - Remove anthropomorphic and marketing language - Improve category organization (now 16 distinct categories) Ready for October 9, 2025 @ 9am PST launch
61 lines
1.4 KiB
Markdown
61 lines
1.4 KiB
Markdown
---
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model: sonnet
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---
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# Data Validation Pipeline
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Create a comprehensive data validation system for: $ARGUMENTS
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Implement validation including:
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1. **Schema Validation**:
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- Pydantic models for structure
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- JSON Schema generation
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- Type checking and coercion
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- Nested object validation
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- Custom validators
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2. **Data Quality Checks**:
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- Null/missing value handling
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- Outlier detection
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- Statistical validation
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- Business rule enforcement
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- Referential integrity
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3. **Data Profiling**:
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- Automatic type inference
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- Distribution analysis
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- Cardinality checks
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- Pattern detection
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- Anomaly identification
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4. **Validation Rules**:
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- Field-level constraints
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- Cross-field validation
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- Temporal consistency
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- Format validation (email, phone, etc.)
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- Custom business logic
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5. **Error Handling**:
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- Detailed error messages
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- Error categorization
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- Partial validation support
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- Error recovery strategies
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- Validation reports
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6. **Performance**:
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- Streaming validation
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- Batch processing
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- Parallel validation
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- Caching strategies
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- Incremental validation
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7. **Integration**:
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- API endpoint validation
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- Database constraints
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- Message queue validation
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- File upload validation
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- Real-time validation
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Include data quality metrics, monitoring dashboards, and alerting. Make it extensible for custom validation rules.
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