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Found 841 Skills
BullMQ queue system reference for Redis-backed job queues, workers, flows, and schedulers. Use when: (1) creating queues and workers with BullMQ, (2) adding jobs (delayed, prioritized, repeatable, deduplicated), (3) setting up FlowProducer parent-child job hierarchies, (4) configuring retry strategies, rate limiting, or concurrency, (5) implementing job schedulers with cron/interval patterns, (6) preparing BullMQ for production (graceful shutdown, Redis config, monitoring), or (7) debugging stalled jobs or connection issues
Set up news monitoring strategies, analyze news coverage, and synthesize current events. Create news digests and media analysis reports.
Production incident response procedures for Python/React applications. Use when responding to production outages, investigating error spikes, diagnosing performance degradation, or conducting post-mortems. Covers severity classification (SEV1-SEV4), incident commander role, communication templates, diagnostic commands for FastAPI/ PostgreSQL/Redis, rollback procedures, and blameless post-mortem process. Does NOT cover monitoring setup (use monitoring-setup) or deployment procedures (use deployment-pipeline).
Performance optimization and continuous improvement for sobriety.tools recovery app. Use for load time optimization, offline capability, crisis detection, performance monitoring, automated issue detection. Activate on "sobriety.tools", "recovery app perf", "crisis detection", "offline meetings", "HALT check-in", "sponsor contacts". NOT for general Next.js help, unrelated Cloudflare Workers, or non-recovery apps.
Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.
Open source eBPF-based network monitoring and blocking components for Little Snitch on Linux
Jungle Scout ASIN Sales Estimate Query: Returns daily estimated sales volume and the latest known price for a specified ASIN over a period on a daily basis, covering 10 marketplaces including the US, UK, Germany, Japan, etc. This skill is triggered when users mention terms such as ASIN sales estimate, ASIN daily sales, sales estimate, competitor sales monitoring, average daily sales, sales trend, product sales tracking, Jungle Scout sales data, sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales. Even if users do not explicitly mention "Jungle Scout", this skill should be triggered as long as their needs involve viewing daily sales estimate data for a specific Amazon ASIN over a period of time.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
Code generator skills that produce production-ready Swift code for common app components. Use when user wants to add logging, analytics, onboarding, review prompts, networking, authentication, paywalls, settings, persistence, error monitoring, CI/CD pipelines, localization, push notifications, deep linking, testing, accessibility, widgets, or feature flags.
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.
Build, review, or improve networking code in iOS/macOS apps using URLSession with async/await, structured concurrency, and modern Swift patterns. Use when working with REST APIs, downloading files, uploading data, WebSocket connections, pagination, retry logic, request middleware, caching, background transfers, or network reachability monitoring. Trigger for any task involving HTTP requests, API clients, network error handling, or data fetching in Swift apps.
Triggered when users need to crawl or collect Xiaohongshu (RedNote) data, including scenarios such as searching notes/content, topic discovery, searching users/bloggers, discovering KOLs/influencers, researching account information, capturing user notes, and collecting note comments/replies (public opinion, sentiment, community monitoring). Retrieve data by calling Xiaohongshu interfaces via JustOneAPI.