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opzero1 AI Skills

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Browse published AI skills maintained by opzero1. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

44

Repository stars across indexed skills

44

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

44 skills

Browse skills

GitHub

tmux

opzero1

Terminal orchestration via tmux. Use for long-running processes, server management, parallel terminal sessions, and background task monitoring.

GitHub

backend-development

opzero1

Modern backend patterns, API design, OWASP security checklist, testing pyramid. For Node.js, Python, Go backends.

GitHub

code-philosophy

opzero1

Internal logic and data flow philosophy (The 5 Laws of Elegant Defense). Apply to backend, hooks, state management, and any code where functionality matters.

GitHub

senior-architect

opzero1

System architecture design for scalable, maintainable systems. Includes architecture diagrams, design patterns, tech stack decisions, and dependency analysis.

GitHub

nestjs-master

opzero1

Comprehensive NestJS framework mastery with Drizzle ORM, TypeORM, Prisma, BullMQ queues, and 40 best practice rules. Use for NestJS applications, APIs, authentication, database integration, queue processing, mi...

GitHub

mcp-builder

opzero1

Guide for creating MCP (Model Context Protocol) servers in TypeScript or Python. Use when building MCP servers to integrate external APIs or services.

GitHub

http-client

opzero1

HTTP client patterns for axios, ky, and native fetch. Detect which client the project uses and follow its patterns. Use for API calls, request/response interceptors, error handling, retries, and TypeScript inte...

GitHub

validation

opzero1

Schema validation patterns for Zod and class-validator in NestJS. Detect which library the project uses and follow its patterns. Use for DTO validation, request/response validation, custom validators, and TypeS...

GitHub

context-engineering

opzero1

Token optimization and context window management strategies. Load for long sessions, complex tasks, or when approaching context limits.

GitHub

mcp-economy

opzero1

Enforce cost-aware MCP usage. Use when a task might trigger heavy external tools, web search, or broad context expansion. Prevents token burn by ensuring MCPs are only used when local context is insufficient.

GitHub

humanizer

opzero1

Remove AI writing patterns from text. Based on Wikipedia's AI Cleanup research with 24 pattern categories including inflated symbolism, promotional language, AI vocabulary, and formatting issues.

GitHub

databases

opzero1

PostgreSQL and MongoDB patterns - queries, indexing, performance optimization, migrations.

GitHub

when-stuck

opzero1

Problem-solving decision tree for when you're blocked. Matches stuck-type to solution strategy.

GitHub

brainstorming

opzero1

MANDATORY before creative work - exploring user intent, requirements and design before implementation. Use for feature design, component planning, or any creative development work.

GitHub

git-master

opzero1

Git operations mastery. Atomic commits, rebase/squash, history search (blame, bisect, log -S). Triggers on 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.

GitHub

frontend-philosophy

opzero1

Visual & UI philosophy (The 5 Pillars of Intentional UI). Apply to styling, layout, colors, typography, animations. Avoid "AI slop" aesthetics.

GitHub

docs-seeker

opzero1

Find documentation using llms.txt standard, context7.com, and repomix. Best practices for library research.

GitHub

writing-clearly

opzero1

Strunk's Elements of Style for clear, concise prose. Use for documentation, commit messages, error messages, UI text, or any human-readable content.

GitHub

code-review

opzero1

Comprehensive code review methodology. 4 layers (Correctness, Security, Performance, Style), severity classification, 80% confidence threshold.

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.