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Perplexity Architecture Patterns
perplexity-architecture-variants
jeremylongshore/claude-code-plugins-plus-skills
203
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.
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Perplexity Hello World
perplexity-hello-world
jeremylongshore/claude-code-plugins-plus-skills
384
Provides a minimal Perplexity SDK example for bootstrapping a new integration, verifying credentials, and confirming that the API client can connect before building more advanced flows.
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Perplexity Policy Guardrails
perplexity-policy-guardrails
jeremylongshore/claude-code-plugins-plus-skills
82
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.
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Perplexity Security Guide
perplexity-security-basics
jeremylongshore/claude-code-plugins-plus-skills
164
Codifies Perplexity security best practices for safely storing API keys, rotating secrets, enforcing least privilege, auditing scopes, and verifying webhooks before production deployments.
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PerplexityAI Automation Toolkit
perplexityai-automation
ComposioHQ/awesome-claude-skills
498
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.
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LLM Prompt Engineering
prompt-engineer
Jeffallan/claude-skills
248
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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Prompt Engineering Patterns
prompt-engineering
rohitg00/awesome-claude-code-toolkit
432
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.
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LLM Quantization Toolkit
quantizing-models-bitsandbytes
Orchestra-Research/AI-Research-SKILLs
333
Quantizes LLMs to 8-bit or 4-bit to cut memory by 50-75%, letting inference and QLoRA fine-tuning run on constrained GPUs while keeping accuracy high; supports Bitsandbytes, NF4/INT8 formats, 8-bit optimizers, and HuggingFace Transformers.
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Remove Bg Automation Guide
remove-bg-automation
ComposioHQ/awesome-claude-skills
374
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.
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RetellAI Architecture Blueprints
retellai-architecture-variants
jeremylongshore/claude-code-plugins-plus-skills
249
Guides selecting and implementing Retell AI architecture blueprints from single webhook servers to event-driven voice pipelines, helping teams match scale, latency budgets, and state management when building or migrating voice agent integrations.
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Retellai Automation Protocol
retellai-automation
ComposioHQ/awesome-claude-skills
442
Automates Retellai workflows through Composio's Rube MCP toolkit, guiding tool discovery, connection checks, schema-compliant invocation, and memory/session handling via the RUBE search/manage/execute calls.
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Retell AI Cost Tuning
retellai-cost-tuning
jeremylongshore/claude-code-plugins-plus-skills
393
Guides teams through analyzing Retell AI billing, tuning call durations, choosing cheaper voice models, and monitoring usage so they can reduce minute-based voice-agent costs and set budget alerts.
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