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Model Pruning Helper

model-pruning-helper

jeremylongshore/claude-code-plugins-plus-skills

Guides ML deployment workflows by surfacing best practices, templated code, and validation steps whenever model pruning helper patterns are mentioned.

Clinical AI SDK Patterns

openevidence-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Guides building clinical AI integrations with the OpenEvidence SDK, covering singleton client setup, typed query builders, response transformers, and caching strategies for reliable decision support.

OpenRouter Pitfalls Guide

openrouter-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Documented anti-patterns, common mistakes, and gotchas for OpenRouter integrations, helping developers review code, onboard teammates, and verify API connectivity before deployment.

OpenRouter Usage Analytics

openrouter-usage-analytics

jeremylongshore/claude-code-plugins-plus-skills

Implements tracking, dashboards, and verification steps to analyze OpenRouter usage patterns, helping teams optimize costs and monitor integrations with concrete metrics and usage-driven insights.

Perplexity Architecture Patterns

perplexity-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides choosing and implementing Perplexity-validated architectures across scales, from simple widgets to cached layers and automated research pipelines, including deployment trade-offs and error mitigation.

Perplexity Pitfalls Guide

perplexity-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.

Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Prompt Engineering Patterns

prompt-engineering

rohitg00/awesome-claude-code-toolkit

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Advanced Prompt Engineering

prompt-engineering-patterns

sickn33/antigravity-awesome-skills

Guides production-ready prompt engineering by describing patterns for few-shot learning, chain-of-thought, template systems, and system prompt design so practitioners can optimize LLM reliability, performance, and controllability across complex applications.

Remove Bg Automation Guide

remove-bg-automation

ComposioHQ/awesome-claude-skills

Documented workflow for automating Composio Remove Bg tasks via Rube MCP, covering discovery, connection management, schema compliance, and execution patterns to reliably integrate background-removal tooling.

Retell AI Pitfall Guide

retellai-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

Guidance for spotting Retell AI anti-patterns, avoiding latency, concurrency, audio quality, and webhook pitfalls while reviewing or onboarding voice agent integrations.

RetellAI SDK Patterns

retellai-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides Retell AI SDK coding patterns for TypeScript and Python, including singleton clients, error wrapping, retry/backoff, validation, and logging so teams can implement reliable, idiomatic integrations quickly.

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