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Found 299 Skills
Identifies and fixes performance bottlenecks in code, databases, and APIs. Measures before and after to prove improvements.
Use this skill when an AI agent needs to inspect, verify, debug, or profile a live Vite app by running temporary snippets inside the browser page and reading browser logs or captured artifacts. Use for client state after interactions, imported app modules, DOM state, human-like input, canvas/WebGL/Three.js state, screenshots, videos, CPU/network/performance/heap analysis, WebXR/Three.js XR with IWER, and runtime-only behavior without editing app files.
Establish CPU/GPU baselines before resource-intensive operations.
Generate rich personality profiles from social media data exports (Twitter/X, LinkedIn, Instagram). Use when a user wants to analyze their social media presence, create a personality profile for AI personalization, understand their communication patterns, or extract insights from their digital footprint. Triggers on requests like "analyze my Twitter data", "create a personality profile", "what can you learn about me from my posts", "personalize an AI for me", or when users provide social media export files.
Aggregate prospect intelligence from multiple sources including news, social media, company websites, and financial data.
Mine ALL past Claude conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
진단 대화 시작점. 학습자의 직무/경력/AI 경험/사전 지식/학습 목적을 5문항으로 파악하고 학습 경로를 제안할 때 사용.
Use this when the user asks about performance, slowness, optimization, or wants to make code more efficient. Focus on hot paths, unnecessary work, and algorithmic complexity.
Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan.
Visualize a specific transformer decoder layer from an AutoDeploy FX graph text dump as a hierarchical DOT/PNG diagram. Optionally annotate nodes with actual GPU kernel names and durations from an nsys trace. Use when the user wants to visualize, inspect, or debug a layer in an AutoDeploy model graph dump. Triggers on: "visualize layer", "show layer", "graph of layer", "layer visualization", "dump graph layer". Assumes graph dumps already exist in a directory (produced by AD_DUMP_GRAPHS_DIR).