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Found 877 Skills
Autonomous agent for tackling big projects. Create PRDs with user stories, then run them via the CLI. Sessions persist across restarts with pause/resume and real-time monitoring.
Tools for reading and analyzing Arduino serial monitor output for enhanced debugging. Provides real-time monitoring, data logging, filtering, and pattern matching to help troubleshoot Arduino sketches using arduino-cli or Arduino IDE.
Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "compare these metrics", "report on", "what does this data tell us", or needs to turn data into actionable insights. Apply to business analytics (revenue, growth, churn, funnel, cohort, segmentation), product metrics (usage, adoption, retention, feature performance, A/B tests), marketing analytics (campaign ROI, attribution, funnel, customer acquisition), financial reporting (P&L, budget, forecast, variance), operational metrics (uptime, performance, capacity, SLA), sales analytics (pipeline, forecast, territory, quota attainment), HR metrics (headcount, turnover, engagement, DEI), and any scenario where data needs to become a clear, actionable story with the right visual form.
Complete development skill set for the ABE Framework, providing a full-stack solution for modern Go HTTP RESTful API application development. Core features include: modular engine architecture, standardized controller route registration, global and route-level middleware system, dependency injection container (supporting global and request-level scopes), multi-language internationalization (i18n) support, access control system based on JWT and Casbin, asynchronous event bus mechanism, high-performance goroutine pool management, extensible plugin mechanism, configuration management system (supporting multi-layer configuration priority), GORM database integration, structured logging system, form validation framework, scheduled task scheduling (Cron), CORS cross-domain support, etc. Suitable for scenarios such as building enterprise-level web services, microservice architecture applications, API gateways, and backend management systems. The framework adopts a loose-coupling design, supports the UseCase business logic pattern, provides a complete error handling mechanism and performance monitoring capabilities, helping enterprises quickly build stable and maintainable distributed application systems.
Docusaurus build health validation and deployment safety for Claude Skills showcase. Pre-commit MDX validation (Liquid syntax, angle brackets, prop mismatches), pre-build link checking, post-build health reports. Activate on 'build errors', 'commit hooks', 'deployment safety', 'site health', 'MDX validation'. NOT for general DevOps (use deployment-engineer), Kubernetes/cloud infrastructure (use kubernetes-architect), runtime monitoring (use observability-engineer), or non-Docusaurus projects.
Production Python engineering patterns covering architecture, observability, testing, performance/concurrency, and core practices. Use when designing Python systems, implementing async/sync APIs, setting up monitoring, structuring tests, optimizing performance, or following Python best practices.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
GitHub API operations - repositories, issues, pull requests, actions, code security, discussions, gists, and more. Use for GitHub-related tasks like managing PRs, issues, searching code, and monitoring workflows.
Build dashboards, analytics interfaces, and data-rich UIs using the Tremor design system (React + Tailwind CSS + Recharts). Use when the user asks to create dashboard components, KPI cards, charts, data tables, analytics pages, monitoring interfaces, or any data visualization UI that should use Tremor. Triggers include mentions of "Tremor", "tremor.so", "@tremor/react", requests for dashboard UIs with charts and tables, or when the user's project already uses Tremor components. Supports both Tremor Raw (copy-and-paste, tremor.so) and Tremor NPM (@tremor/react) versions. Do NOT use for general frontend work unrelated to dashboards or data visualization, or when the user explicitly requests a different component library.
Use when managing project uncertainty through structured risk tracking, identifying and assessing risks with probability×impact scoring (risk matrix), assigning risk owners and mitigation plans, tracking contingencies and triggers, monitoring risk evolution over project lifecycle, or when user mentions risk register, risk assessment, risk management, risk mitigation, probability-impact matrix, or asks "what could go wrong with this project?".
Implements comprehensive observability with OpenTelemetry tracing, Prometheus metrics, and structured logging. Includes instrumentation plans, sample dashboards, and alert candidates. Use for "observability", "monitoring", "tracing", or "metrics".
Injects managed chaos into environments to test system resilience. Validates that self-healing and monitoring systems work as expected under stress.