ground-truth-management
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
发现 编程开发 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。
Comprehensive guide to creating, managing, and maintaining ground truth datasets for AI evaluation including annotation, quality control, and versioning
Resource isolation strategies to prevent cascading failures and limit blast radius in distributed systems
Implementing event sourcing pattern for maintaining application state as a sequence of immutable events.
Implementing comprehensive data quality checks across the data pipeline to ensure accuracy, completeness, and reliability.
Comprehensive guide to implementing robust retry logic, timeout handling, and backoff algorithms for resilient distributed systems
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
Protocols for the agent to autonomously detect failures, analyze root causes, and attempt recovery strategies before requesting user intervention.
Generator สำหรับสร้าง API endpoint พร้อม controller, service, repository, validation, tests และ documentation โดยอัตโนมัติ
Minimum security controls every service must implement: authentication/authorization, input validation, secrets management, security headers, dependency security, audit logging, and operational guardrails
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
Comprehensive guide to professional services delivery including proposal writing, SOW creation, pricing strategies, scope management, and client delivery
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
Systematic approach to choosing technologies, frameworks, and tools based on requirements, team capabilities, and long-term sustainability.
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
Comprehensive guide to gRPC for high-performance microservices communication with Protocol Buffers.
Documenting significant architectural decisions with context, consequences, and rationale for future reference.
A quick lookup guide for navigating a repository: where to find endpoints, business logic, models, tests, configs, docs, scripts, plus search patterns and commands
Comprehensive guide to creating, communicating, and maintaining technical and product roadmaps for strategic alignment and stakeholder communication
Pre-written message templates for incident communication across different channels and severity levels.
Detecting and managing schema changes that can break data pipelines and downstream consumers.
See the main Usage-Based Pricing skill for comprehensive coverage of metering and billing implementation.
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
Comprehensive guide to conducting effective user interviews for problem discovery, solution validation, and continuous learning
Comprehensive guide to implementing permission systems for AI agent tools including RBAC, approval workflows, and security policies
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。