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Found 3,302 Skills
Document the pitfalls encountered or good practices discovered during this work into searchable learning documents, so that both AI and humans can look them up when similar tasks arise in the future. Two tracks: The pitfall track records experiences where "things should have worked but didn't" — bugs, configuration traps, environment issues, integration failures; The knowledge track records findings that "should be the default approach going forward" — best practices, workflow improvements, reusable patterns. Trigger scenarios: Proactively prompt for input when wrapping up feature-acceptance or issue-fix, or when the user says phrases like "document knowledge", "learning", "document learnings", "record this experience". Spec documents record what was done and how it was done, while learning documents record what pitfalls were encountered / what was learned — the two complement each other and are not interchangeable.
Behavior Guidelines for Information Visualization Presentation. Automatically activated when the model's response contains structured information such as comparisons, steps, configurations, architectures, etc., ensuring priority use of visual formats like tables, code blocks, lists, tree structures, instead of pure text accumulation. Trigger words: "Use a table", "Draw a diagram", "Make a list", "Structure it", "Don't just use text", "Visualize", "Compare". Even without trigger words, the rules of this Skill should take effect as long as the response contains structured information suitable for visualization. It also applies to scenarios such as "Too much text to read", "Can it be more intuitive?", "Organize into a table".
Codebase intelligence for JavaScript and TypeScript. Free static layer finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity hotspots, architecture boundary violations, and feature flag patterns. Optional paid runtime layer (Fallow Runtime) merges production execution data into the same health report for hot-path review, cold-path deletion confidence, and stale-flag evidence. 90 framework plugins, zero configuration, sub-second static analysis. Use when asked to analyze code health, find unused code, detect duplicates, check circular dependencies, audit complexity, check architecture boundaries, detect feature flags, clean up the codebase, auto-fix issues, merge production coverage, or run fallow.
Run cross-framework agent comparisons using evaluatorq from orqkit — compares any combination of agents (orq.ai, LangGraph, CrewAI, OpenAI Agents SDK, Vercel AI SDK) head-to-head on the same dataset with LLM-as-a-judge scoring. Use when comparing agents, benchmarking, or wanting side-by-side evaluation. Do NOT use when comparing only orq.ai configurations with no external agents (use run-experiment instead).
Enables Customer-Managed Encryption Keys (CMEK) on CockroachDB Cloud clusters with the Advanced plan and Advanced Security Add-on to give organizations control over data-at-rest encryption keys via their cloud provider's KMS. Use when enabling CMEK for compliance, rotating encryption keys, or verifying CMEK configuration.
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.
Use when working with AdonisJS Lucid ORM and SQL layer: database configuration, migrations, schema generation, schema classes, models, CRUD operations, model query builder, query scopes, hooks, serialization, relationships, transactions, pagination, debugging, validation rules, model factories, seeders, or database query builders. Trigger for tasks involving @adonisjs/lucid, database/schema.ts, app/models, database/migrations, database/factories, database/seeders, db service queries, Lucid relationships, or model behavior.
Comprehensive guide for implementing Syncfusion Blazor Sankey Diagram (SfSankey) component for flow visualization in Blazor applications. Use this when working with Sankey diagrams, flow visualization, or process flows. This skill covers node and link configuration, data binding, flow magnitude representation, and diagram customization. Ideal for visualizing energy flows, supply chain relationships, user journey maps, traffic analysis, and any scenario involving flows between categories or stages.
Create and configure Syncfusion Angular Stepper component for multi-step workflows, wizards, forms, and onboarding flows. Use this skill when implementing step-by-step navigation, configuring step validation, handling step events, or customizing step appearance with icons, labels, and templates. This covers stepper-based wizard interfaces, progress tracking workflows, and multi-form configurations.
Implement Syncfusion Angular Sparkline component for compact data visualization. Use this skill whenever the user needs to create sparkline charts, visualize small datasets inline, add markers or data labels, implement different sparkline types (Line, Column, Area, Pie, Win-Loss), or handle sparkline customization like tooltips, axis settings, and theme styling. Covers installation, basic rendering, type selection, marker configuration, data label formatting, advanced features, accessibility, and migration from EJ1.
Implement interactive Range Navigator in Angular applications using Syncfusion. Covers data binding from local and remote sources, axis configuration (numeric and date-time), series types, tooltip customization, period selector setup, lightweight mode, RTL support, axis labels and formatting, grid ticks, print/export functionality (PNG, SVG, PDF), and accessibility features. Use this skill when creating data range selection tools, timeline navigators, and interactive data exploration components.