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Found 202 Skills
Trigger: Call this skill when the problem is complex, has multiple conflicting factors, unclear priorities, or you don't know what to solve first; common signals include trade-off, bottleneck, unknown root cause, unclear priority order, and mutual restraint between multiple problems. Trigger when a problem contains competing forces, unclear priorities, or no obvious entry point. Use this skill to identify contradictions, isolate the principal contradiction, classify its nature, and choose the right response.
GPU Code to Ascend NPU Adaptation Review Expert. When users need to migrate GPU-based code (especially deep learning and model inference-related code) to Huawei Ascend NPU, this skill must be used for comprehensive review. This skill can identify bottlenecks in GPU-to-NPU migration, write adaptation scripts, generate verification plans, and output a complete Markdown review report. Trigger scenarios include: users mentioning keywords such as "NPU adaptation", "Ascend migration", "GPU to NPU", "Ascend", "CANN", "model migration", "operator adaptation", or users requesting to review GPU code repositories and migrate to the NPU platform.
Linear project-management CLI for the terminal. Manage issues, projects, cycles, teams, initiatives, roadmaps, and customer records via the Linear GraphQL API with offline-capable SQLite sync. Use when the user asks about their Linear issues, wants today's queue, sprint velocity, team workload, bottlenecks, duplicate / stale / orphaned issues, release pipelines, or wants to create, update, or search Linear items from the terminal. Offline search and analytics work without an API round-trip after a one-time sync.
Use this skill whenever building, reviewing, or refactoring React components that fetch data from APIs — especially at scale (recommender carousels, infinite feeds, pages with many parallel fetches, dashboards). Covers request orchestration (parallelism, batching, deduplication), cache strategy (keys, normalization, staleTime, SWR), backend protection (concurrency caps, debounce/throttle, jittered retries, circuit breakers), prefetching (route loaders, hover/intent, idle, server hydration), failure resilience (AbortController, timeouts, error boundaries, stale fallback, idempotent mutations), and feed/carousel patterns (virtualization, cursor pagination, summary/detail split). Trigger even if the user doesn't explicitly mention "performance" or "scale" — any non-trivial React data-fetching code benefits from these patterns. Includes 5 ready-to-use scaffolding templates (resource query hook, carousel data loader, infinite feed, hover-prefetch link, request collapser).
Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Use when designing futuristic agentic workflows, when wanting AI to proactively act on team communications, or when eliminating the bottleneck of formal specifications
Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.
Fast automation platform error resolver for Power Automate, n8n, Make, Zapier and other platforms. Handles common patterns like 401/403 auth errors, 429 throttling, and data format issues. Provides immediate fixes without deep research for well-known error patterns. Use when error matches common scenarios (status codes 401, 403, 404, 429, timeout, parse JSON failures). For complex or unknown errors, defer to automation-debugger skill. When the user outputs some code/json snippets and ask for a quick fix, this skill will provide immediate solutions.
Conducts comprehensive Magento 2 performance analysis and optimization. Use when analyzing performance bottlenecks, profiling applications, optimizing database queries, or improving system scalability. Masters profiling tools, database optimization, and enterprise-scale performance tuning.
Implement Ideogram rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Ideogram. Trigger with phrases like "ideogram rate limit", "ideogram throttling", "ideogram 429", "ideogram retry", "ideogram backoff".
Python performance profiling with cProfile, tracemalloc, and line_profiler. Use for identifying bottlenecks and memory issues. USE WHEN: user mentions "Python profiling", "cProfile", "memory profiling", asks about "Python performance", "tracemalloc", "line_profiler", "py-spy", "Python optimization", "Python memory leak" DO NOT USE FOR: Java/Node.js profiling - use respective skills instead