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Found 2,421 Skills
Use when understanding Xiaohongshu account authority, improving algorithm performance, recovering from low-weight status, or diagnosing why content has low reach
Error tracking and monitoring integration. Sentry, Datadog RUM, Bugsnag. Source maps, breadcrumbs, release tracking, performance monitoring, and alerting configuration. USE WHEN: user mentions "Sentry", "error tracking", "Bugsnag", "Datadog RUM", "crash reporting", "source maps", "release tracking", "error monitoring" DO NOT USE FOR: application logging - use logging skills; APM/tracing - use `opentelemetry`; structured error responses - use `error-handling`
Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps. Use when EF Core queries are slow, generating excessive SQL, or causing high database load.
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content strategy (5-pillar system), multimodal creation, thread growth playbook, engagement and community building, product promotion integration, persona development, competitor analysis, and data-driven continuous improvement. Use when managing an X account, planning content, analyzing tweet performance, engaging with community, running competitive analysis, or optimizing posting strategy.
Use this skill when working with Unity game engine - C# scripting, Entity Component System (ECS/DOTS), physics simulation, shader programming (ShaderLab, HLSL, Shader Graph), and UI Toolkit. Triggers on gameplay programming, MonoBehaviour lifecycle, component architecture, rigidbody physics, raycasting, collision handling, custom shader authoring, material configuration, USS styling, UXML layout, and performance optimization for real-time applications. Acts as a senior Unity engineer advisor for game developers building production-quality games and interactive apps.
Design multi-channel outbound cadences with timing, A/B testing, and content. Use when building a Salesloft cadence, building a Mailshake campaign, building a Smartlead campaign, building a Lemlist sequence, building a Yesware campaign, building a Mixmax sequence, building a Reply.io sequence, building a Woodpecker campaign, designing an outbound sequence, planning touchpoint timing, writing cadence emails, creating call scripts, A/B testing subject lines, optimizing sequence performance, or planning multi-channel outreach. Do NOT use for general outreach message writing (use /sales-outreach), marketing cold email (use /cold-email), automated email flows (use /email-sequence), or general Salesloft platform help (use /sales-salesloft).
Discover trending tokens and newly listed tokens across supported blockchains: view trending token rankings by chain and time window, find newly launched tokens, filter by launchpad platform, sort by volume/price change/market cap, and search within rankings by keywords. Trigger words: trending, trending tokens, hot tokens, top tokens, top gainers, top losers, market overview, market trends, what's hot, what's trending, popular tokens, most traded, highest volume, biggest gainers, biggest movers, new tokens, new listings, newly listed, just launched, new coins, recent launches, launchpad, pump.fun, pump fun, new launch, discovery, discover tokens, explore, market scan, market watch, ranking, rankings, leaderboard, top chart, heat map, token rankings, performance ranking, best performing. Chinese: 趋势, 热门代币, 排行, 排行榜, 涨幅榜, 跌幅榜, 市场趋势, 什么在涨, 热门, 最热, 新币, 新上线, 刚上线, 新发行, 最近上线, 市场概览, 市场扫描, 发现代币, 探索. CRITICAL: Always use `--json` flag for structured output. CRITICAL: When showing rankings, display at least token name, symbol, price, and 24h change. Do NOT use this skill for: - Specific token details, security audit, holders, or K-line → use liberfi-token - Wallet holdings or portfolio analysis → use liberfi-portfolio - Swap quotes, trading, or transaction execution → use liberfi-swap Do NOT activate on vague inputs like "market" alone without context indicating the user wants rankings or new token discovery.
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
Production-first enterprise skill for The Composable Architecture (TCA) with SwiftUI (iOS 16+, TCA 1.7+). This skill should be used when building new TCA features with @Reducer macro, decomposing god reducers, implementing StackState/StackAction navigation or tree-based @Presents navigation, writing TestStore tests, migrating legacy TCA code to modern @ObservableState patterns, debugging TCA performance issues, managing side effects and dependencies with @DependencyClient, or reviewing TCA code for anti-patterns. Use this skill any time someone works with TCA reducers, stores, effects, or dependencies — AI tools consistently generate outdated pre-1.7 TCA patterns, so this skill is essential for correct code.
Use when optimizing multi-factor systems with limited experimental budget, screening many variables to find the vital few, discovering interactions between parameters, mapping response surfaces for peak performance, validating robustness to noise factors, or when users mention factorial designs, A/B/n testing, parameter tuning, process optimization, or experimental efficiency.
Diagnose and manage Alibaba Cloud databases through natural language. Use when users need to troubleshoot database performance issues (high CPU, slow queries, abnormal connections, lock waits), check instance status, analyze disk space, optimize SQL, run health inspections, or detect security baseline violations. Supports RDS (MySQL/PostgreSQL/SQL Server), PolarDB, MongoDB, Redis (Tair), and Lindorm. Trigger this skill even for casual descriptions like "my database is slow", "can't connect to the database", "help me check this SQL", or "database disk is almost full". Also suitable for consulting Alibaba Cloud-specific database features (e.g., PolarDB Serverless, DAS autonomy capabilities) and comparing product differences (RDS vs PolarDB). Do NOT use this skill for general SQL tutorials, non-Alibaba Cloud databases, or local database administration.
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).