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89jobrien AI Skills

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Browse published AI skills maintained by 89jobrien. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

54

Repository stars across indexed skills

121

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

54 skills

Browse skills

GitHub

skill-creator

89jobrien

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

git-workflow

89jobrien

Git workflow and pull request specialist. Use when creating PRs, managing branches, establishing git conventions, or improving code review processes.

GitHub

documentation

89jobrien

Comprehensive documentation specialist covering API documentation, technical writing, design documentation, migration guides, and changelog generation. Use when creating OpenAPI/Swagger specs, generating SDKs,...

GitHub

debugging

89jobrien

Comprehensive debugging specialist for errors, test failures, log analysis, and system problems. Use when encountering issues, analyzing error logs, investigating system anomalies, debugging production issues,...

GitHub

technical-research

89jobrien

Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.

GitHub

testing

89jobrien

Comprehensive testing specialization covering test strategy, automation, TDD methodology, test writing, and web app testing. Use when setting up test infrastructure, writing tests, implementing TDD workflows, a...

GitHub

performance

89jobrien

Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core W...

GitHub

code-context-finder

89jobrien

Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related ent...

GitHub

command-optimization

89jobrien

CLI command development specialist. Use when creating commands, designing argument parsing, automating tasks, or implementing CLI best practices. Specializes in command design patterns and user experience.

GitHub

url-analysis

89jobrien

URL validation and contextual analysis specialist. Use when validating links, analyzing URL context, extracting links from content, or ensuring link appropriateness. Combines technical validation with content a...

GitHub

mcp-integration

89jobrien

Model Context Protocol (MCP) integration specialist. Use when creating MCP server configurations, implementing MCP integrations, or optimizing MCP performance. Specializes in MCP server architecture and integra...

GitHub

golang-enterprise-patterns

89jobrien

Enterprise-level Go architecture patterns including clean architecture, hexagonal architecture, DDD, and production-ready application structure.

GitHub

network-engineering

89jobrien

Network architecture, troubleshooting, and infrastructure patterns. Use when designing network topologies, debugging connectivity issues, configuring load balancers, DNS, or implementing network security.

GitHub

nextjs-architecture

89jobrien

Next.js architecture specialist. Use when designing Next.js applications, migrating to App Router, implementing Server Components, or optimizing Next.js performance. Covers App Router, Server Components, and be...

GitHub

shell-scripting

89jobrien

Shell scripting best practices and patterns. Use when writing bash/zsh scripts, automating tasks, creating CLI tools, or debugging shell commands.

GitHub

tdd-pytest

89jobrien

Python/pytest TDD specialist for test-driven development workflows. Use when writing tests, auditing test quality, running pytest, or generating test reports. Integrates with uv and pyproject.toml configuration...

GitHub

dependency-management

89jobrien

Dependency management specialist. Use when updating dependencies, scanning for vulnerabilities, analyzing dependency trees, or ensuring license compliance. Handles npm, pip, maven, and other package managers.

GitHub

machine-learning

89jobrien

Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.

GitHub

tool-presets

89jobrien

Standardized tool set definitions for Claude Code agents ensuring consistent tool access across similar agent types

GitHub

ai-ethics

89jobrien

Responsible AI development and ethical considerations. Use when evaluating AI bias, implementing fairness measures, conducting ethical assessments, or ensuring AI systems align with human values.

GitHub

prompt-optimization

89jobrien

Expert prompt optimization for LLMs and AI systems. Use when building AI features, improving agent performance, crafting system prompts, or optimizing LLM interactions. Masters prompt patterns and techniques.

GitHub

meta-cognitive-reasoning

89jobrien

Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requ...

GitHub

meeting-insights-analyzer

89jobrien

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss...

GitHub

database-optimization

89jobrien

SQL query optimization and database performance specialist. Use when optimizing slow queries, fixing N+1 problems, designing indexes, implementing caching, or improving database performance. Works with PostgreS...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.