| 6.2 | skills.sh | visual-regression-testing visual-regression-testing covers automated screenshot comparison to catch css, layout, and design regressions across browsers and viewports. includes playwright, percy, chromatic, and backstopjs approaches with practical examples. |
| 5.9 | skills.sh | product-manager product-manager specializes in authoring prds and tech specs with moscow/rice prioritization, epic-to-user-story decomposition, and requirements traceability. validates that requirements are testable and measurable. intended for phase 2 planning workflows. |
| 5.8 | skills.sh | api-rate-limiting api-rate-limiting covers protection strategies for apis using token bucket, sliding window, and redis-based approaches. provides code patterns for per-user, per-ip, and per-endpoint rate limiting with tiered service plan support. |
| 5.3 | skills.sh | data-migration-scripts data-migration-scripts provides templates and patterns for writing reversible database migrations with knex.js and alembic, covering schema changes and data transformations. lacks concrete runnable procedures and edge case recovery detail. |
| 5.3 | skills.sh | nodejs-express-server nodejs-express-server covers express.js patterns for routing, middleware, and authentication but lacks concrete step-by-step procedures and specific trigger guidance needed for consistent implementation. |
| 5.2 | skills.sh | Time Series Analysis time-series-analysis covers decomposition, stationarity testing, and forecasting via arima, exponential smoothing, and related techniques. includes python implementation with sample workflows for trend extraction, seasonality detection, and confidence-interval predictions. |
| 5.2 | skills.sh | accessibility-testing accessibility-testing covers automated and manual validation of wcag compliance, keyboard navigation, screen reader compatibility, and assistive technology integration using tools like axe-core and playwright. |
| 5.2 | skills.sh | performance-testing performance-testing covers load testing, benchmarking, and throughput measurement across multiple frameworks (k6, jmeter, pytest-benchmark, jmh). provides quick-start code and best-practice checklists but lacks concrete decision logic or failure recovery guidance. |
| 4.8 | skills.sh | application-logging application-logging covers structured logging setup across node.js and python with winston and elk stack integration, including best practices for log levels, context injection, and centralized aggregation. |
| 4.7 | skills.sh | webhook-integration webhook-integration outlines patterns for event-driven communication but lacks concrete procedural steps, actionable decision trees, and a defined outcome signal beyond best practices checklists. |
| 4.3 | skills.sh | synthetic-monitoring synthetic-monitoring provides a playwright-based framework for simulating user journeys and api flows, with best practices guidance but incomplete procedural depth and missing deployment context. |
| 4.3 | skills.sh | configuration-management configuration-management covers environment setup, secrets handling, and 12-factor principles across environments. provides best-practice checklists but lacks executable procedures and failure-mode guidance. |
| 4.2 | skills.sh | container-debugging container-debugging covers docker and kubernetes troubleshooting for startup failures, crashes, resource limits, and networking. provides basic command reference without systematic diagnosis methodology. |
| 4.2 | skills.sh | reactive-programming reactive-programming covers rxjs observables and streams for async data handling. outlines when-to-use patterns and lists reference guides without concrete procedural steps or decision logic. |
| 4.2 | skills.sh | agile-sprint-planning agile-sprint-planning outlines a checklist-based approach to organizing sprint cycles, covering backlog grooming, capacity estimation, and team coordination. lacks concrete decision logic or failure handling. |
| 3.9 | skills.sh | webhook-development webhook-development provides a skeleton outline for event delivery and retry logic but lacks concrete procedural steps, failure mode analysis, or actionable trigger conditions. the quick-start example is inert boilerplate. |
| 3.9 | skills.sh | fastapi-development fastapi-development provides high-level overview of fastapi capabilities including async support, type validation, and orm integration, but lacks actionable procedures and concrete trigger conditions. |
| 3.8 | skills.sh | api-response-optimization api-response-optimization addresses payload bloat and caching through general best practices, but lacks concrete implementation steps and decision criteria for when to apply each technique. |
| 3.8 | skills.sh | performance-regression-debugging performance-regression-debugging covers detecting and resolving performance degradation after code changes, with baseline comparison and metric monitoring, but lacks actionable procedural detail. |
| 3.8 | skills.sh | api-security-hardening api-security-hardening lists security middleware components for rest apis, covering authentication and input validation across node.js and python frameworks. lacks concrete procedural depth and explicit failure handling. |
| 3.2 | skills.sh | user-research-analysis user-research-analysis covers synthesis of qualitative and quantitative research data into themes and insights. the skill prescribes thematic coding and affinity mapping but lacks executable procedural depth and concrete decision logic. |
| 3.2 | skills.sh | database-schema-documentation database-schema-documentation provides a template structure for organizing schema artifacts (erd, data dictionaries, migration scripts) but lacks procedural steps for actually generating or maintaining documentation across schema changes. |
| 3.2 | skills.sh | websocket-implementation websocket-implementation provides only skeletal documentation covering real-time communication architecture without actionable procedures, specific implementation guidance, or failure handling details. |
| 3.2 | skills.sh | kpi-dashboard-design kpi-dashboard-design provides a checklist-style overview of dashboard creation with best practices listed, but lacks actionable step-by-step procedures, specific trigger scenarios, and failure mode handling. |
| 3.1 | skills.sh | architecture-diagrams architecture-diagrams provides a skeletal outline for generating system diagrams via mermaid and plantuml, but lacks actionable procedure, specific trigger phrases, and substantive guidance beyond tool names. |
| 3.1 | skills.sh | database-migration-management database-migration-management provides structural scaffolding for migration workflows but lacks procedural depth, specific trigger definitions, and concrete failure handling strategies needed for production use. |
| 3.1 | skills.sh | markdown-documentation markdown-documentation is a reference guide for syntax and formatting conventions, covering core markdown, github flavored extensions, and documentation practices. it lacks actionable procedures for actual documentation workflows. |
| 2.8 | skills.sh | ios-swift-development incomplete skill definition for ios swift development. the file declares intent but lacks actionable procedure, specific trigger phrases, failure modes, or decision points needed for cross-vendor automation. |
| 2.4 | skills.sh | penetration-testing penetration-testing defines what pen testing is conceptually but provides no actionable steps, decision logic, input/output contracts, or failure handling needed for skill automation. |
| — | skills.sh | business-analyst Product discovery and requirements analysis specialist. Conducts stakeholder interviews, market research, problem discovery, and creates product briefs. Use… |
| — | skills.sh | code-review-analysis > |
| — | skills.sh | deployment-automation > |
| — | skills.sh | business-case-development > |
| — | skills.sh | technical-specification > |
| — | skills.sh | ssl-certificate-management > |
| — | skills.sh | runbook-creation > |
| — | skills.sh | azure-app-service > |
| — | skills.sh | monorepo-management > |
| — | skills.sh | security-testing > |
| — | skills.sh | container-registry-management > |
| — | skills.sh | mobile-app-debugging > |
| — | skills.sh | Correlation Analysis Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship… |
| — | skills.sh | code-generation-template > |
| — | skills.sh | autoscaling-configuration > |
| — | skills.sh | secrets-management > |
| — | skills.sh | idempotency-handling > |
| — | skills.sh | database-monitoring > |
| — | skills.sh | api-contract-testing > |
| — | skills.sh | serverless-architecture > |
| — | skills.sh | integration-testing > |
| — | skills.sh | refactor-legacy-code > |
| — | skills.sh | distributed-tracing > |
| — | skills.sh | Funnel Analysis Analyze user conversion funnels, identify drop-off points, and optimize conversion rates for conversion optimization and user flow analysis |
| — | skills.sh | image-optimization > |
| — | skills.sh | network-security-groups > |
| — | skills.sh | data-encryption > |
| — | skills.sh | database-sharding > |
| — | skills.sh | mobile-offline-support > |
| — | skills.sh | server-side-rendering > |
| — | skills.sh | design-system-creation > |
| — | skills.sh | api-error-handling > |
| — | skills.sh | nosql-database-design > |
| — | skills.sh | payment-gateway-integration > |
| — | skills.sh | mobile-first-design > |
| — | skills.sh | technical-debt-assessment > |
| — | skills.sh | batch-processing-jobs > |
| — | skills.sh | session-management > |
| — | skills.sh | cloud-migration-planning > |
| — | skills.sh | documentation-site-setup > |
| — | skills.sh | correlation-tracing > |
| — | skills.sh | e2e-testing-automation > |
| — | skills.sh | circuit-breaker-pattern > |
| — | skills.sh | prometheus-monitoring > |
| — | skills.sh | web-performance-audit > |
| — | skills.sh | competitor-analysis > |
| — | skills.sh | mutation-testing > |
| — | skills.sh | dependency-tracking > |
| — | skills.sh | error-tracking > |
| — | skills.sh | security-documentation > |
| — | skills.sh | database-backup-restore > |
| — | skills.sh | root-cause-analysis > |
| — | skills.sh | api-authentication > |
| — | skills.sh | docker-containerization > |
| — | skills.sh | stored-procedures > |
| — | skills.sh | ML Pipeline Automation Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins |
| — | skills.sh | Dimensionality Reduction Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency |
| — | skills.sh | cloud-cost-management > |
| — | skills.sh | static-code-analysis > |
| — | skills.sh | multi-cloud-strategy > |
| — | skills.sh | app-store-deployment > |
| — | skills.sh | code-metrics-analysis > |
| — | skills.sh | frontend-state-management > |
| — | skills.sh | uptime-monitoring > |
| — | skills.sh | infrastructure-cost-optimization > |
| — | skills.sh | frontend-testing > |
| — | skills.sh | query-caching-strategies > |
| — | skills.sh | azure-functions > |
| — | skills.sh | aws-s3-management > |
| — | skills.sh | test-data-generation > |
| — | skills.sh | flutter-development > |
| — | skills.sh | api-pagination > |
| — | skills.sh | artifact-management > |
| — | skills.sh | service-mesh-implementation > |
| — | skills.sh | polyglot-integration > |
| — | skills.sh | react-native-app > |
| — | skills.sh | secrets-rotation > |
| — | skills.sh | database-performance-debugging > |
| — | skills.sh | memory-leak-detection > |
| — | skills.sh | disaster-recovery-testing > |
| — | skills.sh | accessibility-compliance > |
| — | skills.sh | graphql-implementation > |
| — | skills.sh | risk-assessment > |
| — | skills.sh | real-time-features > |
| — | skills.sh | test-automation-framework > |
| — | skills.sh | angular-module-design > |
| — | skills.sh | backup-disaster-recovery > |
| — | skills.sh | changelog-maintenance Maintain comprehensive changelogs and release notes following Keep a Changelog format. Use when documenting version history, release notes, or tracking changes… |
| — | skills.sh | security-audit-logging > |
| — | skills.sh | design-patterns-implementation > |
| — | skills.sh | logging-best-practices > |
| — | skills.sh | api-gateway-configuration > |
| — | skills.sh | git-workflow-strategy > |
| — | skills.sh | stress-testing > |
| — | skills.sh | gap-analysis > |
| — | skills.sh | user-guide-creation > |
| — | skills.sh | csrf-protection > |
| — | skills.sh | vulnerability-scanning > |
| — | skills.sh | api-reference-documentation > |
| — | skills.sh | design-handoff > |
| — | skills.sh | spring-boot-application > |
| — | skills.sh | infrastructure-monitoring > |
| — | skills.sh | blue-green-deployment > |
| — | skills.sh | event-sourcing > |
| — | skills.sh | caching-strategy > |
| — | skills.sh | github-actions-workflow > |
| — | skills.sh | log-analysis > |
| — | skills.sh | code-documentation > |
| — | skills.sh | web-performance-optimization > |
| — | skills.sh | aws-rds-database > |
| — | skills.sh | process-mapping > |
| — | skills.sh | progressive-web-app > |
| — | skills.sh | concurrency-patterns > |
| — | skills.sh | Anomaly Detection Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality… |
| — | skills.sh | feature-flag-system > |
| — | skills.sh | Exploratory Data Analysis Discover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis,… |
| — | skills.sh | health-check-endpoints > |
| — | skills.sh | log-aggregation > |
| — | skills.sh | file-upload-handling > |
| — | skills.sh | interaction-design > |
| — | skills.sh | semantic-versioning > |
| — | skills.sh | Model Deployment Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks |
| — | skills.sh | oauth-implementation > |
| — | skills.sh | gitlab-cicd-pipeline > |
| — | skills.sh | technical-roadmap-planning > |
| — | skills.sh | load-balancer-setup > |
| — | skills.sh | transaction-management > |
| — | skills.sh | information-architecture > |
| — | skills.sh | cloud-storage-optimization > |
| — | skills.sh | color-accessibility > |
| — | skills.sh | gcp-cloud-run > |
| — | skills.sh | Causal Inference Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects |
| — | skills.sh | project-estimation > |
| — | skills.sh | capacity-planning > |
| — | skills.sh | aws-lambda-functions > |
| — | skills.sh | memory-optimization > |
| — | skills.sh | push-notification-setup > |
| — | skills.sh | bundle-size-optimization > |
| — | skills.sh | database-schema-design > |
| — | skills.sh | xss-prevention > |
| — | skills.sh | Sentiment Analysis Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis |
| — | skills.sh | django-application > |
| — | skills.sh | grpc-service-development > |
| — | skills.sh | deployment-documentation > |
| — | skills.sh | Cohort Analysis Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis |
| — | skills.sh | dependency-management > |
| — | skills.sh | Classification Modeling Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification |
| — | skills.sh | terraform-infrastructure > |
| — | skills.sh | Computer Vision Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow |
| — | skills.sh | database-query-optimization > |
| — | skills.sh | rest-api-design > |
| — | skills.sh | Model Monitoring Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow |
| — | skills.sh | ML Model Explanation Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability |
| — | skills.sh | data-replication-setup > |
| — | skills.sh | Recommendation Engine Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches |
| — | skills.sh | mocking-stubbing > |
| — | skills.sh | continuous-testing > |
| — | skills.sh | canary-deployment > |
| — | skills.sh | Natural Language Processing Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis |
| — | skills.sh | Network Analysis Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational structures |
| — | skills.sh | Recommendation System Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement |
| — | skills.sh | intermittent-issue-debugging intermittent-issue-debugging — an installable skill for AI agents, published by aj-geddes/useful-ai-prompts. |
| — | skills.sh | internationalization-i18n > |
| — | skills.sh | react-component-architecture react-component-architecture — an installable skill for AI agents, published by aj-geddes/useful-ai-prompts. |
| — | skills.sh | system-architect Designs system architecture, selects tech stacks, defines components and interfaces, addresses non-functional requirements. Trigger words - architecture,… |
| — | skills.sh | user-story-writing > |
| — | skills.sh | nginx-configuration > |
| — | skills.sh | wireframe-prototyping > |
| — | skills.sh | ansible-automation > |
| — | skills.sh | flask-api-development > |
| — | skills.sh | android-kotlin-development > |