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Found 1,732 Skills
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
Designs and manage customer loyalty programs — points, tiers, rewards, referrals, VIP programs, retention mechanics. Covers strategy, structure, and implementation across Brevo Loyalty, Smile.io, LoyaltyLion, Yotpo, Stamp.me, and custom-built programs. Use when designing a loyalty program, choosing loyalty software, setting up points/tiers/rewards, optimizing member engagement, or measuring program ROI. Do NOT use for affiliate/referral programs with commission payouts (use /sales-affiliate-program), email marketing to loyalty members (use /sales-email-marketing), or checkout optimization (use /sales-checkout). For Brevo-specific help, use /sales-brevo.
Use for Luau performance work focused on profiling hotspots, allocation-aware code structure, table and iteration costs, builtin and function-call fast paths, compiler/runtime optimization behavior, and environment constraints that change execution speed.
Expert guide for Drizzle ORM best practices, including schema definitions, queries, mutations, transactions, migrations, and performance optimization. Use when working with Drizzle ORM, database schemas, queries, or migrations.
Java Web dead code cleanup and refactoring expert. It safely identifies and removes dead code, with testing and verification performed at every step. Trigger conditions: User requests for dead code cleanup, refactoring optimization, and unused code removal.
Analyzes codebases to identify refactoring opportunities based on Martin Fowler's catalog of code smells and refactoring techniques. Detects duplicated code, high coupling, complex conditionals, primitive obsession, long functions, and other structural issues. Produces a structured refactoring report with prioritized findings saved to docs/_refacs/. Use when auditing code quality, preparing for a refactoring sprint, or reviewing architectural health. Don't use for style/formatting issues, performance optimization, or security audits.
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.
Apply behavioral psychology and cognitive biases to marketing for conversion optimization, pricing strategy, copy improvement, and campaign design. Includes 70+ mental models organized by application, diagnostic frameworks for identifying behavioral barriers, and implementation guides with before/after examples. Use when applying psychology to marketing, optimizing conversions, improving pricing pages, or when user mentions psychology, cognitive bias, persuasion, behavioral science, mental models, why people buy, decision-making, consumer behavior, or neuromarketing.
When the user wants to create, optimize, or improve sales presentations, pitch decks, demos, or proposal presentations. Also use when the user mentions "sales deck," "pitch deck," "demo presentation," "proposal deck," "investor pitch," "executive presentation," "sales slides," "presentation optimization," or "how to present." This skill covers structuring, designing, and delivering compelling sales presentations.
Optimize e-commerce search relevance across the full pipeline from query understanding to result presentation. Use this skill when the user needs to improve search quality, implement query processing features, or diagnose search relevance issues — even if they say 'search results are bad', 'improve product search', or 'search relevance optimization'.
Python code refactoring skills, covering code smell identification, design pattern application, readability improvement, and practical experience. This skill is applicable when users request "refactor code", "refactor", "code optimization", "improve code quality", "code smell review", "apply design patterns", "enhance readability", or submit code review requests. It supports generating structured refactoring documents after refactoring completion ("output refactoring document", "generate refactoring report"). It includes practical patterns extracted from 20+ real refactoring PRs in the vllm-ascend repository.