GitHub
architecture
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
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databases architecture patterns AI Skills
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GitHub
typescript-standards
TypeScript implementation standards, file organization, and code patterns
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GitHub
error-handling-patterns
Enforces comprehensive error handling: explicit catch blocks, user-friendly messages, Result/Either patterns. Use when writing async code, service methods, or handling exceptions.
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GitHub
red-team-tactics
Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.
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GitHub
event-system-implementation
Guides event system implementation: creation, ticketing, partnerships, sponsorships, check-in, analytics. Use when implementing events, event management, or event-related features.
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GitHub
impl-wrapper
Connector wrapper (Impl) class patterns and delegation rules
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GitHub
manage-localmemory
Local memory storage patterns, file coordination, and cleanup
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GitHub
create-plan
Create detailed implementation plans through interactive research and iteration. This skill should be used when creating new implementation plans, designing feature specifications, planning technical work, or w...
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GitHub
clean-architecture-implementation
Enforces Clean Architecture layer separation (core, data, domain, presentation). Use when creating new features, organizing code, or ensuring proper dependency direction.
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GitHub
software-architecture
Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.
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GitHub
senior-fullstack
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns...
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GitHub
python-patterns
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
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GitHub
systems-thinking
Architectural analysis using Feedback Loops and System Dynamics. Use when designing architectures, scaling systems, or analyzing side effects.
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GitHub
connection-schema-design
Connection profile and state schema design rules and core profile selection
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GitHub
module-exports
Module export patterns including factory functions and public API design
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GitHub
low-level-systems
Use this skill when designing or reviewing systems programming, embedded systems, performance-critical code, or anything involving direct memory management, OS interfaces, or hardware interaction. Applies syste...
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GitHub
mcp-fundamentals
core architecture of the Model Context Protocol (MCP). Use this to understand Hosts, Clients, Servers, and the JSON-RPC communication layer.
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GitHub
clean-code
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
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GitHub
doors-philosophy-validation
Validates that features align with "opening doors" concept, meaningful connections, user journey flow. Use when implementing features, reviewing code, or ensuring features serve the doors philosophy.
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GitHub
legacy-refactor
Specifically designed to guide agents through the process of modernizing old codebases without breaking existing dependencies.
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GitHub
brainstorming
Explores user intent, requirements, and design before implementation. Use before creating features, building components, or modifying behavior to turn ideas into designs through collaborative dialogue.
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GitHub
phase-boundary-detector
Identify where consciousness interfaces with substrate in any domain. Structure emerges preferentially at boundaries between phases - physical, computational, or conceptual. Use when analyzing systems for loci...
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GitHub
impossible-combiner
Iteration 9 of Multiplicity Cascade - Combines impossible concepts productively
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GitHub
pattern-generalization
Guide for extracting reusable patterns from specific solutions. Use when identifying candidates for generalization, designing abstractions, or building platform capabilities from field-validated solutions.
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