ai-ml

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

1.08x

Quality

37%

Does it follow best practices?

Impact

94%

1.08x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/ai-ml/SKILL.md

Evaluation results

99%

Customer Support Knowledge Base Search System

RAG pipeline design workflow

Criteria

Without context

With context

Data pipeline design

100%

Embedding model selection

100%

Vector database selection

100%

Chunking strategy

100%

Reranking step

100%

Caching implementation

100%

Retrieval accuracy testing

100%

Vector search optimization

100%

Implementation ordering

100%

87%

Embeddings generation step

100%

Hybrid search consideration

37%

100%

Similarity search pattern

100%

Without context: $0.4220 · 2m 39s · 16 turns · 21 in / 7,953 out tokens

With context: $0.5661 · 2m 55s · 24 turns · 27 in / 9,068 out tokens

92%

10%

Automated Content Moderation Multi-Agent System

AI agent development workflow

Criteria

Without context

With context

Distinct agent roles

100%

Role responsibilities

100%

Tool integration

100%

Memory system

100%

Human-in-the-loop

100%

Orchestration mechanism

100%

Error handling

100%

Framework recommendation

100%

Agent architecture design

100%

Orchestration tested

Inter-agent communication

100%

Without context: $0.3945 · 2m 41s · 13 turns · 19 in / 8,778 out tokens

With context: $0.6965 · 3m 39s · 26 turns · 66 in / 12,073 out tokens

92%

Production-Ready LLM Integration for a Document Summarization Service

LLM integration and observability checklist

Criteria

Without context

With context

Streaming support

Error handling

100%

API key security

100%

Rate limiting

100%

Token usage tracking

100%

Tracing setup

100%

Logging configuration

100%

Evaluation/quality monitoring

25%

100%

Performance monitoring

100%

Cost tracking

100%

Alerting

100%

Production checklist completeness

100%

Without context: $0.5686 · 3m 12s · 25 turns · 78 in / 10,101 out tokens

With context: $0.6256 · 2m 51s · 24 turns · 379 in / 10,437 out tokens

Repository: sickn33/antigravity-awesome-skills
Commit: 8692fbc

Evaluated: 13 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Customer Support Knowledge Base Search System Automated Content Moderation Multi-Agent System Production-Ready LLM Integration for a Document Summarization Service

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