override-mechanisms
Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.
Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.
Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
Pre-written message templates for incident communication across different channels and severity levels.
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
Comprehensive guide to implementing permission systems for AI agent tools including RBAC, approval workflows, and security policies
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
Protecting personal and sensitive data throughout the machine learning lifecycle, from training to inference.
Design patterns for building autonomous AI agents that can reason, plan, and execute tasks.
Checklist สำหรับตรวจสอบและกำจัด bloat ใน context, prompt, และ response เพื่อลด token cost และเพิ่ม signal-to-noise ratio
Comprehensive guide to evaluating Retrieval-Augmented Generation systems including retrieval metrics, generation quality, faithfulness, and end-to-end evaluation frameworks
Comprehensive guide to sandboxing AI agents including code execution isolation, resource limits, security boundaries, and safe tool execution
Interactive skill for adapting BMAD path references and enhancing skill content. Reviews skills for {project-root} references and prompts for handling choices.
Bootstrap and install BMAD-METHOD skills for Claude Code, Cursor, Antigravity, and other tools.
Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, Gemini, and Opencode backends with file references (@syntax) and structured output.
Searches Canva's Glean knowledge base for internal documentation, policies, how-tos, Slack threads, and company information. Use when asked about Canva processes, internal docs, Slack conversations, or company...
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.