Customaize Agent
Plugin Warnung AktivCommands and skills for writing and refining commands, hooks, skills for Claude Code, includes Anthropic Best Practices and Agent Persuasion Principles that can be useful for sub-agent workflows.
To empower users with a structured TDD process for building high-quality Claude Code extensions, ensuring reliability, adherence to best practices, and resistance to common LLM failure modes.
Funktionen
- Guided creation of Claude Code agents, commands, and skills
- TDD methodology applied to prompt engineering
- Integration of Anthropic Best Practices and persuasion principles
- Subagent-based testing for isolated validation
- Workflow management for complex tasks
Anwendungsfälle
- Creating new Claude Code agents or commands from scratch
- Testing and refining existing prompts for better reliability
- Implementing best practices for agent behavior and discipline
- Developing structured workflows for multi-step tasks
Nicht-Ziele
- Direct execution of code
- Managing external project dependencies
- Replacing core Claude Code functionality
Workflow
- Understand requirements and identify patterns from similar commands
- Create command file with frontmatter and structured prompt
- Develop task files for sub-agent execution if needed
- Update documentation and test command with usage scenarios
Praktiken
- Test-Driven Development
- Prompt Engineering
- Agent Design Patterns
- Workflow Orchestration
License
- critical:License usabilityThe plugin is licensed under GPL-3.0, which is a strong copyleft license that may impose significant restrictions on redistribution and modification, potentially conflicting with the desired use of the plugin.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add NeoLabHQ/context-engineering-kit/plugin install customaize-agent@context-engineering-kitEnthält 12 Erweiterungen
Skill (12)
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
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.
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
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
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.
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
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
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, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns
Qualitätspunktzahl
WarnungVertrauenssignale
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