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Cursor Context Optimization

cursor-context-management

jeremylongshore/claude-code-plugins-plus-skills

Guides Cursor IDE users through context window limits, targeted @-mentions, and conversation resets so AI assistants deliver accurate, fast responses without overflowing memory.

Deepgram SDK Patterns

deepgram-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Defines production-ready Deepgram SDK usage for TypeScript and Python, covering pre-recorded transcription, live streaming, diarization, multi-language handling, and error responses to guide integrations and team standards.

Exa Reliability Patterns

exa-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

Establish circuit breakers, caching, retries, fallback chains, and quality monitoring for Exa neural search integrations so production services stay resilient under rate limits, empty results, or slow responses.

Groq Data Compliance

groq-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Guides Groq integrations through prompt sanitization, response filtering, token tracking, and audit logging so teams can safely handle PII, enforce retention policies, and keep GDPR/CCPA privacy guarantees.

Instructor Structured Outputs

Orchestra-Research/AI-Research-SKILLs

Instructor turns LLM responses into validated structured data with Pydantic schemas, automatic retries on failed extractions, complex JSON parsing, and streaming partial results across OpenAI and Anthropic.

Kling AI Content Compliance

klingai-content-policy

jeremylongshore/claude-code-plugins-plus-skills

Guides implementing Kling AI content-policy compliance with prompt screening, moderation checks, violation handling, and documentation to ensure generated responses stay within safety guidelines for production deployments.

LLM Knowledge Distillation

knowledge-distillation

Orchestra-Research/AI-Research-SKILLs

Compress large language models via teacher-student distillation, covering temperature scaling, soft targets, reverse KLD, and response distillation so you can deploy smaller LLMs with GPT-4-level behavior and lower inference cost.

LangChain Incident Runbook

langchain-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

Structured incident response runbook for LangChain production issues, covering detection, diagnostics, fallback strategies, and recovery steps to keep LLM services available when outages or high error rates occur.

Langfuse LLM Tracing Workflow

langfuse-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides setup of Langfuse tracing for LLM pipelines, covering automatic OpenAI wrapping, manual spans, streaming responses, and parent-child trace linking for end-to-end observability.

Langfuse Cost Optimization

langfuse-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Monitor Langfuse telemetry to record LLM token usage, aggregate spend by model and time, alert on budget breaches, and steer requests toward cheaper models while caching responses and trimming prompts.

LangSmith Observability Platform

langsmith-observability

Orchestra-Research/AI-Research-SKILLs

LangSmith is an observability platform for debugging, evaluating, and monitoring LLM applications, combining tracing, dataset-backed evaluation, and production metrics to streamline AI testing and incident response.

Lindy Core Workflow

lindy-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Configures the Lindy core workflow to automate tasks, schedule Lindy agents, and wire up cron, webhook, or email triggers so AI-driven work runs reliably on a schedule or in response to events.

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