Plugins

12 plugins

Component Spec and Pattern Library

Document component anatomy, variants, and usage patterns for consistent implementation.

5 skills · plugin

Interaction Design

Interaction design skills: micro-interactions, animation principles, state machines, gesture patterns, error handling UX, and feedback patterns.

16 skills · plugin

Backend Framework Patterns

For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.

7 skills · plugin

Skills for Blazor development: component authoring, interactivity, and web application patterns.

9 skills · plugin

C#/.NET development skills including refactoring, testing, async patterns, documentation, and NuGet management

7 skills · plugin

Plugin Optimizer

Validates and optimizes Claude Code plugins against official best practices and file patterns

2 skills · plugin

Deploy GKE Cluster

Creates a GKE cluster, configures networking, sets up observability, and applies reliability patterns.

5 skills · plugin

Dotnet Aspnetcore

ASP.NET Core web development skills including middleware, endpoints, real-time communication, and API patterns.

4 skills · plugin

Create Design System Documentation

Generate component specifications, pattern library entries, and design system documentation for UI consistency.

8 skills · plugin

React Motion UI System

Install foundational motion tokens, UI patterns, and accessibility enforcement for React/Next.js.

5 skills · plugin

UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.

12 skills · plugin

Migrate Legacy SDK

Migrate from a legacy SDK to a new version using mapping tables, deprecation patterns, and verification.

3 skills · plugin

Results for “pattern”

111 skills

Cosmosdb Datamodeling

Capture application requirements and access patterns to design Azure Cosmos DB NoSQL data models using best practices and common patterns.

Pattern Analyst

Your won/lost/churn pattern analyst. Connect a CRM plus a product-analytics tool, then turn retrospective data into forward-looking action. Three modes. (1) WON, win pattern recognition that feeds your ICP and lookalike search. (2) LOST, loss pattern plus competitive intel that feeds a messaging refresh. (3) CHURN, churn theme extraction plus predictive scoring (which active accounts look like recent churners?). Trigger on "why are we winning?", "why are we losing?", "closed-lost autopsy", "churn patterns", "competitive intel rollup", "who do we lose to most?", "show me lookalike candidates to {winning customer}", "predictive churn", "which active accounts look like churners?", or any portfolio-level pattern recognition.

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Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

SQL patterns for database querying and design

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

Provides JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

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Backend Patterns

Provides backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Cloud Design Patterns

Provides 42 technology-agnostic cloud design patterns for distributed systems, covering reliability, performance, messaging, security, and deployment to help architects design robust workloads.

36.2k · bundle

Prisma Patterns

Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.

Dataverse Python Advanced Patterns

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

Detecting Beaconing Patterns With Zeek

Analyzes Zeek conn.log connection intervals using statistical methods to detect C2 beaconing patterns, flagging periodic connections with low jitter.

24.6k · bundle

Trade Performance Coach

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

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Prisma Patterns

Production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and serverless connection handling.

Screen post-earnings gap-up stocks for Post-Earnings Announcement Drift patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.

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Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.

Stanley Druckenmiller Investment

Synthesizes outputs from 8 upstream market analysis skills into a unified conviction score (0-100), pattern classification, and allocation recommendation for Druckenmiller-style portfolio positioning.

Use when implementing SQL functionality with production-grade patterns and safeguards.

Detecting Anomalous Authentication Patterns

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs.

24.6k · bundle

Use when implementing SQL functionality with production-grade patterns and safeguards.

Apply a named refactoring pattern to a website codebase (extract templates, centralize analytics, DRY components)

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

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Postgres Patterns

Quick reference for PostgreSQL best practices covering indexing, schema design, query optimization, and security defaults.

Build reliable, fault-tolerant Python applications with DBOS durable workflows, steps, queues, and communication patterns.

42.4k · bundle

Provides guidance and best practices for working with dbt, covering core concepts, patterns, troubleshooting, and deployment strategies.

Analyzing Cloud Storage Access Patterns

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.

24.6k · bundle

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

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Provides PostgreSQL query patterns covering SELECT, JOINs, subqueries, CTEs, window functions, and advanced SQL techniques.

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Query, filter, and transform JSON with expert jq patterns, including aggregation, string formatting, and shell pipeline integration.

Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance ...

Design PostgreSQL schemas with best practices for data types, indexing, constraints, and performance patterns.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and CLI integration.

Dataverse Python Quickstart

Generate Python SDK setup, CRUD, bulk, and paging snippets for Microsoft Dataverse using official patterns.

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Provides ClickHouse schema design, query optimization, and data ingestion patterns for high-performance analytical workloads.

Query, filter, transform, and aggregate JSON data using jq, with practical patterns for shell pipelines and integration with CLI tools.