customaize-agent

Plugin customaize-agent from marketplace context-engineering-kit in NeoLabHQ/context-engineering-kit. Commands read from the repo's manifest — 1 month ago.

Skills (13)

• agent-evaluation

  Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

• apply-anthropic-skill-best-practices

  Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

• context-engineering

  Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.

• create-agent

  Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

• create-command

  Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

• create-hook

  Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

• create-rule

  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.

• create-skill

  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 ski

• create-workflow-command

  Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

• prompt-engineering

  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.

• test-prompt

  Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

• test-skill

  Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes

• thought-based-reasoning

  Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency,

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