GitHub
ai-model-registry
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
Skills IA Vie quotidienne
Découvrez les skills Vie quotidienne, comparez leurs dépôts et consultez leurs instructions.
Catégories: Vie quotidienne
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Explorer
GitHub
tech-stack-selection
Systematic approach to choosing technologies, frameworks, and tools based on requirements, team capabilities, and long-term sustainability.
GitHub
llm-token-optimization
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
GitHub
architecture-decision-records-adr
Documenting significant architectural decisions with context, consequences, and rationale for future reference.
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
GitHub
roadmap-planning
Comprehensive guide to creating, communicating, and maintaining technical and product roadmaps for strategic alignment and stakeholder communication
GitHub
communication-templates
Pre-written message templates for incident communication across different channels and severity levels.
GitHub
schema-drift-detection
Detecting and managing schema changes that can break data pipelines and downstream consumers.
GitHub
pricing-and-usage-meters
See the main Usage-Based Pricing skill for comprehensive coverage of metering and billing implementation.
GitHub
llm-security-red-teaming
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
GitHub
user-interviews
Comprehensive guide to conducting effective user interviews for problem discovery, solution validation, and continuous learning
GitHub
tool-permission-model
Comprehensive guide to implementing permission systems for AI agent tools including RBAC, approval workflows, and security policies
GitHub
repository-automation-scripts
Automated scripts for common repository tasks including setup, cleanup, dependency updates, and maintenance.
GitHub
llm-function-calling
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
GitHub
backfill-and-reconciliation-playbook
Playbook สำหรับ backfill historical data และ reconcile inconsistencies ระหว่าง data sources
GitHub
sla-slo-and-slis
Comprehensive guide to Service Level Agreements, Objectives, and Indicators for measuring and maintaining system reliability
GitHub
cost-observability-and-monitoring
Techniques for gaining visibility into cloud spending, attributing costs to business units, and detecting financial anomalies.
GitHub
model-serving-inference
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
GitHub
access-audit-and-reviews
Comprehensive guide to access audits, periodic reviews, anomaly detection, and segregation of duties for compliance and security.
GitHub
retention-and-archival
Policy และ automation สำหรับ data retention, archival และ deletion ตาม compliance requirements
GitHub
prompting-patterns
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
GitHub
pii-detection
Comprehensive guide to detecting Personally Identifiable Information (PII) across systems, databases, and logs using regex patterns, NER models, and automated scanning tools.
GitHub
retrieval-playbook-for-ai
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
GitHub
api-versioning-strategies
Comprehensive guide to API versioning approaches for maintaining backward compatibility.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.