Coding standards, frameworks, refactoring, and code review (16.4K skills)
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
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Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
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Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.
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Autonomous coding agent. Delegate any task that involves understanding, writing, or running code — from a GitHub issue, a bug report, or a user request. It explores, implements, and verifies on its own.
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Comprehensive guide for creating and managing skills in Claude Code with auto-activation system, following Anthropic's official best practices including the 500-line rule and progressive disclosure pattern.
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To create new CLI skills following Anthropic's official best practices with zero manual configuration. This skill automates brainstorming, template application, validation, and installation processes while maintaining progressive disclosure patterns and writing style standards.
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Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing
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Iteratively improve a Claude Code skill using the skill-reviewer agent until it meets quality standards. Use when improving a skill with multiple quality issues, iterating on a new skill until it meets standards, or automated fix-review cycles instead of manual editing.
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Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.
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Generate two complementary onboarding documents that together give any engineer — from newcomer to principal — a complete understanding of a codebase. Use when user asks for onboarding docs or getting-started guides, user runs /deep-wiki, or user wants to help new team members understand a codebase.
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Expert Hearts of Iron IV modding assistant for Paradox scripting, debugging, localisation, focus trees, events, decisions, AI logic, and HOI4 mod architecture. MADE BY SQERSTERS
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Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
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Guidelines for developing with Kysely, a type-safe TypeScript SQL query builder with autocompletion support
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Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
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Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
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Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
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Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps. Use when EF Core queries are slow, generating excessive SQL, or causing high database load.
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Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.
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Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
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Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
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Lua scripting context for the Megahub project. Use when working on Lua script execution, Lua bindings, libluahub, Lua error handling, Lua threads, or the Blockly-to-Lua code generation pipeline.
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LEGO Powered Up protocol context for the Megahub project. Use when working on LEGO device communication, lpfuart library, UART parsing, motor control, sensor modes, device initialization, or debugging UART noise/corruption issues.
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Core firmware context for the Megahub ESP32 project. Use when working on PlatformIO configuration, build scripts, library structure, main.cpp, or general ESP32 firmware development. Covers build system, project structure, common pitfalls, and debugging.
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Code formatting and linting context for the Megahub project. Use when writing or reviewing code in C++ or JavaScript, or when running format/lint checks. Describes tool commands, style conventions, and when to apply them.
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