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llm-judge-patterns
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
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研究与调研 AI 技能
发现 研究与调研 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: 研究与调研
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architecture-review
Structured process for reviewing and validating architectural decisions before implementation to catch issues early.
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schema-management
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
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repo-map-ssot
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
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lineage-and-provenance
See the main Data Lineage skill for comprehensive coverage of data lineage tracking and provenance.
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db-migration-generator
Generator สำหรับสร้าง database migration files พร้อม up/down scripts, validation และ rollback safety
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ground-truth-management
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
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bulkhead-patterns
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
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event-sourcing
Implementing event sourcing pattern for maintaining application state as a sequence of immutable events.
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data-quality-checks-and-validation
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
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retry-timeout-backoff-strategies
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
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ai-risk-assessment
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
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agent-self-correction
Protocols for the agent to autonomously detect failures, analyze root causes, and attempt recovery strategies before requesting user intervention.
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endpoint-generator
Generator สำหรับสร้าง API endpoint พร้อม controller, service, repository, validation, tests และ documentation โดยอัตโนมัติ
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security-baseline-controls
Minimum security controls every service must implement: authentication/authorization, input validation, secrets management, security headers, dependency security, audit logging, and operational guardrails
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prompt-library-minimal
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
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proposal-sow-delivery-management
Comprehensive guide to professional services delivery including proposal writing, SOW creation, pricing strategies, scope management, and client delivery
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ai-model-registry
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
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tech-stack-selection
Systematic approach to choosing technologies, frameworks, and tools based on requirements, team capabilities, and long-term sustainability.
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llm-token-optimization
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
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grpc-integration
Comprehensive guide to gRPC for high-performance microservices communication with Protocol Buffers.
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architecture-decision-records-adr
Documenting significant architectural decisions with context, consequences, and rationale for future reference.
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GitHub
where-to-find-what
A quick lookup guide for navigating a repository: where to find endpoints, business logic, models, tests, configs, docs, scripts, plus search patterns and commands
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GitHub
roadmap-planning
Comprehensive guide to creating, communicating, and maintaining technical and product roadmaps for strategic alignment and stakeholder communication
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。