1242 skills
📊

market-sizing-analysis

Safe 70

Calculate TAM, SAM, and SOM for startups

by wshobson

Estimating market size is critical for startup strategy and fundraising but requires structured methodology. This skill provides frameworks for calculating Total Addressable Market, Serviceable Available Market, and Serviceable Obtainable Market using top-down, bottom-up, and value theory approaches.

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📦

linkerd-patterns

Safe 69

Set up Linkerd Service Mesh

by wshobson

Implementing a service mesh adds complexity to Kubernetes clusters. This skill provides ready-to-use templates and patterns for Linkerd, the lightweight CNCF service mesh that enables automatic mTLS, traffic splitting, and zero-trust networking with minimal configuration overhead.

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✨

interaction-design

Safe 68

Design polished UI microinteractions and animations

by wshobson

Create engaging user experiences with well-designed microinteractions, animations, and motion patterns. This skill provides comprehensive guidance on implementing smooth transitions, loading states, and user feedback mechanisms.

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🔍

hybrid-search-implementation

Safe 69

Implement Hybrid Search for RAG

by wshobson

Pure vector search misses exact matches while keyword search fails on semantic queries. This skill provides ready-to-use templates for combining both approaches using RRF fusion, linear combination, and cross-encoder reranking.

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📦

error-handling-patterns

Safe 69

Implement robust error handling patterns

by wshobson

Applications often fail unexpectedly due to poor error handling. This skill provides battle-tested patterns for exceptions, Result types, circuit breakers, and graceful degradation across Python, TypeScript, Rust, and Go.

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📦

embedding-strategies

Low Risk 68

Optimize Embedding Models for Semantic Search

by wshobson

Choosing the right embedding model and chunking strategy is critical for retrieval quality. This skill provides templates and best practices for implementing high-quality vector search pipelines.

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📦

design-system-patterns

Medium Risk 52

Design System Patterns

by wshobson

An AI skill for Claude, Codex, and Claude Code

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📦

debugging-strategies

Safe 69

Apply Systematic Debugging Strategies

by wshobson

Debugging complex software issues often feels random and frustrating. This skill provides systematic debugging techniques, profiling tools, and root cause analysis methods that transform troubleshooting into a methodical process.

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📦

context-driven-development

Safe 70

Manage AI-Driven Project Context

by wshobson

Establish structured project documentation to improve AI consistency and team alignment. Define context artifacts that guide development decisions and maintain institutional memory across sessions.

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📊

competitive-landscape

Safe 69

Analyze competitive landscape and positioning

by wshobson

Analyzing competitors and market positioning is time-consuming and requires structured frameworks. This skill provides Porter's Five Forces, Blue Ocean Strategy, and positioning maps to systematically assess competition and identify differentiation opportunities.

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📦

code-review-excellence

Low Risk 67

Master Code Review Best Practices

by wshobson

Code reviews often become bottlenecks or sources of team friction. This skill provides structured techniques for giving constructive feedback, conducting thorough reviews, and turning every review into a knowledge-sharing opportunity that improves code quality and team collaboration.

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💳

billing-automation

Safe 69

Automate subscription billing workflows

by wshobson

Recurring billing systems are complex to design and maintain. This skill provides clear patterns for subscriptions, invoicing, dunning, proration, and taxes.

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♿

accessibility-compliance

Safe 72

Create WCAG 2.2 Accessible Interfaces

by wshobson

Build inclusive digital experiences that comply with WCAG 2.2 standards. This skill provides code patterns, guidelines, and best practices for screen readers, keyboard navigation, and mobile accessibility.

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🎯

master-orchestrator

Safe 68

Automate Viral Content Workflow

by wangdefou-dev

Manually researching trending topics and drafting content is time-consuming and inconsistent. This orchestrator skill automates the complete workflow from hot topic discovery to AI-generated content with viral potential scoring.

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📦

vue-testing-best-practices

Safe 70

Set up Vue.js tests with Vitest and Playwright

by vuejs-ai

Vue.js applications need reliable testing strategies. This skill provides best practices for unit testing with Vitest and Vue Test Utils, component testing patterns, mocking strategies, and E2E testing with Playwright.

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📦

vue-router-best-practices

Safe 70

Apply Vue Router Best Practices

by vuejs-ai

Vue Router navigation guards and lifecycle patterns often cause bugs that are hard to debug. This skill provides proven solutions for common Vue Router 4 challenges including guard implementation, route parameter changes, and component cleanup.

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📦

vue-pinia-best-practices

Safe 69

Implement Pinia State Management Best Practices

by vuejs-ai

Vue applications often face state management issues like reactivity loss, initialization errors, and debugging challenges. This skill provides proven patterns and solutions for implementing Pinia stores correctly in Vue 3 applications.

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📦

vue-development-guides

Safe 72

Apply Vue.js Development Best Practices

by vuejs-ai

Vue.js projects often suffer from unclear data flow and reactivity mistakes. This skill provides comprehensive best practices for Vue 3 and Nuxt 3 development including proper state management, component patterns, and data flow architecture.

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📦

vue-debug-guides

Safe 70

Vue 3 Debugging Guide

by vuejs-ai

Vue 3 applications encounter runtime errors, warning messages, async failures, and SSR hydration issues that are difficult to debug. This skill provides comprehensive debugging guides and solutions for over 100 common Vue 3 development problems.

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📦

create-adaptable-composable

Safe 66

Create Adaptable Vue Composable

by vuejs-ai

Creating Vue composables with flexible input types is challenging. This skill provides a pattern for building library-grade composables that accept both reactive and non-reactive inputs using MaybeRef and MaybeRefOrGetter types.

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