devops llm ai AI 技能

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GitHub

autonomous-gap-detector

AmnadTaowsoam

Protocol for agents to autonomously detect skill gaps and maintain documentation health.

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GitHub

context-pack-format

AmnadTaowsoam

รูปแบบการจัดเตรียม context ให้กระชับ มีโครงสร้าง และใช้ token อย่างมีประสิทธิภาพ

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GitHub

retrieval-quality

AmnadTaowsoam

Comprehensive guide to improving RAG retrieval quality including chunking strategies, embedding optimization, reranking, and hybrid search

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GitHub

prompt-versioning

AmnadTaowsoam

Comprehensive guide to versioning, testing, and managing prompts for AI agents including A/B testing, rollback strategies, and prompt registries

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GitHub

ai-auditability

AmnadTaowsoam

Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.

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GitHub

ai-ethics-and-compliance

AmnadTaowsoam

Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.

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GitHub

vector-search-patterns

AmnadTaowsoam

Implementing semantic search and similarity search using vector embeddings and vector databases.

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GitHub

skill-discovery-chaining

AmnadTaowsoam

Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.

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GitHub

llm-and-ai-cost-optimization

AmnadTaowsoam

Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.

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GitHub

audit-trails-for-agents

AmnadTaowsoam

Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging

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GitHub

override-mechanisms

AmnadTaowsoam

Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.

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GitHub

human-in-the-loop-workflows

AmnadTaowsoam

Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.

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GitHub

llm-judge-patterns

AmnadTaowsoam

Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles

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GitHub

ai-risk-assessment

AmnadTaowsoam

Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.

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GitHub

prompt-library-minimal

AmnadTaowsoam

คลัง prompts แบบ minimal ที่ใช้ token น้อยที่สุดแต่ได้ผลลัพธ์ดี พร้อม templates และ best practices

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GitHub

ai-model-registry

AmnadTaowsoam

Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.

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GitHub

llm-token-optimization

AmnadTaowsoam

See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.

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GitHub

communication-templates

AmnadTaowsoam

Pre-written message templates for incident communication across different channels and severity levels.

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GitHub

llm-security-red-teaming

AmnadTaowsoam

Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies

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GitHub