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LoRA PEFT Fine-Tuning

peft-fine-tuning

Orchestra-Research/AI-Research-SKILLs

Guides parameter-efficient fine-tuning for 7B-70B LLMs using PEFT/LoRA/QLoRA adapters, quantization, and multi-adapter serving so you can train <1% of parameters on consumer GPUs with minimal accuracy loss.

Perplexity Core Workflow B

perplexity-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides execution of Perplexity’s secondary Core Workflow B, covering setup, processing, and completion steps; assumes Perplexity install/auth, familiarity with Workflow A, and valid API credentials; delivers API results plus success or error details while providing error handling guidance.

Perplexity Cost Tuning

perplexity-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity AI search billing by routing queries to the right model, caching responses, limiting token output, filtering domains, and monitoring usage so your API spend stays predictable.

Perplexity Deployment Integration

perplexity-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Guides deploying Perplexity-powered apps to Vercel, Fly.io, or Cloud Run, covering secret setup, streaming search API handlers, caching with Redis, and health checks for production releases.

Perplexity Enterprise RBAC

perplexity-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Sets up Perplexity Enterprise RBAC with SSO, organization controls, and model-restricted API keys for teams, includes gateway routing, domain filtering, usage monitoring, and key rotation routines.

Perplexity Policy Guardrails

perplexity-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

Implements Perplexity Sonar guardrails covering query moderation, tiered model selection, citation scoring, and per-user quotas, so teams can plug policy checks into pre-commit hooks or CI to keep live searches safe and cost-effective.

Perplexity Architecture Blueprint

perplexity-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines a Perplexity reference architecture for AI research and search projects, covering model routing, citation extraction, conversational search, and multi-query pipelines to establish consistent integrations and reviews.

PerplexityAI Automation Toolkit

perplexityai-automation

ComposioHQ/awesome-claude-skills

Guides connecting a Rube MCP client to Perplexityai via Composio, from discovering up-to-date tool schemas through RUBE_SEARCH_TOOLS to executing actions in RUBE_MULTI_EXECUTE_TOOL while monitoring connection status.

Phoenix AI Observability

phoenix-observability

Orchestra-Research/AI-Research-SKILLs

Phoenix is an open-source AI observability and evaluation platform that captures traces, experiments, datasets, and real-time dashboards for debugging, evaluating, and monitoring production LLM systems.

Realtime Audio Narration

podcast-generation

sickn33/antigravity-awesome-skills

Use Azure OpenAI Realtime Mini to turn text prompts into streamed PCM audio, convert it to WAV, and deliver base64 payloads for frontend playback, handling transcripts and voice tuning for podcast-style narration.

Computer Vision Processing

processing-computer-vision-tasks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

LLM Prompt Engineering

prompt-engineer

Jeffallan/claude-skills

Designs, refines, and evaluates prompts for LLM workflows, covering zero/few-shot, chain-of-thought, system personas, structured outputs, and testable evaluation suites to boost accuracy and efficiency.

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