Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Create well-formatted commits with conventional commit messages and emoji
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Generate ideas in one shot using creative sampling
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Create pull requests using GitHub CLI with proper templates and formatting
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Guide for creating effective skills. This command 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 tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Comprehensive multi-perspective review using specialized judges with debate and consensus building
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Implement a task step by step with automated LLM-as-Judge verification at the end of each phase
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Systematically fix all failing tests after business logic changes or refactoring
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Iterative PDCA cycle for systematic experimentation and continuous improvement
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
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NeoLabHQ/context-engineering-kit☆ 1.8KUpdated Aug 27, 2026