Agent skill · Workflow & Productivity

prompt-builder

Build effective prompts for Claude Code skills. Creates clear, specific, actionable prompts using engineering principles, templates, and validation. Use when creating skill instructions, workflow steps, task operations, or any Claude prompt.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-builder --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 23 KB
Bundled scripts: none
Allowed tools: ReadWriteEditGlobGrepBashWebSearchWebFetch
Path: skills/ai-llm/prompt-builder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

The skill offers a systematic workflow for creating effective Claude Code prompts. It emphasizes using prompt engineering principles, templates, and validation to ensure prompts are clear, specific, and actionable. It targets building prompts for skills, workflows, tasks, and operations.

How it works

The skill prescribes a five-step process:

  1. Understand Context: identify goal, audience, situation, constraints, and success criteria; pose key questions and check for common mistakes; output is a context analysis document.
  2. Define Task Clearly: convert the goal into a specific, actionable task using an explicit task definition with action, object, constraints, success criteria, and context references; provides a template and examples.
  3. Structure Prompt: compose the prompt using a core structure [CONTEXT SETTING], [TASK DEFINITION], [CONSTRAINTS & REQUIREMENTS], [OUTPUT FORMAT], [EXAMPLES], [VALIDATION CRITERIA]; includes templates for Step, Operation, and Analysis prompts.
  4. Add Context & Examples: enrich with Background Information, Reference Materials, Constraints & Boundaries, Examples & Patterns, and Success Patterns; demonstrates how to supply context before, during, and after the task and how to validate output.
  5. Refine & Validate: perform clarity, completeness, specificity, consistency, and conciseness checks; include a formal validation rubric with five quality dimensions (Clarity, Specificity, Completeness, Actionability, Reliability).

When to use it

Use this workflow when creating new skill instructions, workflow steps, task operations, automation prompts, improving existing prompts with inconsistent results, or ensuring prompts follow best practices.

What it can touch

The skill specifies structured content and templates but does not list external tools or code execution. It references generic prompt-building artifacts, contexts, and validation checklists rather than interacting with files or systems directly. The allowed-tools and explicit commands are described within the workflow sections, but no executable actions are enumerated in this summary.

Caveats

  • The description emphasizes a standardized, template-driven approach and validation rubric but does not guarantee success outcomes or tool-specific results.
  • It requires thoughtful input from the user to supply context, objectives, and success criteria in advance.
  • It avoids promising performance improvements beyond following the defined workflow.
From the SKILL.md

# Prompt Builder ## Overview prompt-builder provides a systematic workflow for creating effective prompts in Claude Code skills. It applies prompt engineering principles, uses proven templates, and validates quality to ensure prompts are clear, specific, actionable, and produce reliable results. **Purpose**: Create high-quality prompts for skills, workflows, tasks, and operations **Pattern**: Workflow-based (5-step process) **Key Benefit**: Transforms vague instructions into precise, effective prompts that Claude can execute reliably ## When to Use Use prompt-builder when: - Creating new skill instructions - Writing workflow steps that Claude will execute - Defining task operations - Building automation prompts - Improving existing prompts that produce inconsistent results - Ensuring prompts follow best practices ## Prerequisites Before building prompts: - **Clear objective**: Know what the prompt should accomplish - **Context understanding**: Understand the situation where the prompt will be used - **Success criteria**: Define what "good output" looks like ## Prompt Building Workflow ### Step 1: Understand Context Before writing any prompt, understand the full context. **What to I

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Prompt Building Workflow
  5. Step 1: Understand Context
  6. Step 2: Define Task Clearly
  7. Step 3: Structure Prompt
  8. Step 4: Add Context & Examples
  9. Step 5: Refine & Validate
  10. Best Practices
  11. Prompt Engineering Principles
  12. Prompt Patterns
  13. Quality Indicators
  14. Common Mistakes
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the prompt-builder skill do?

Build effective prompts for Claude Code skills. Creates clear, specific, actionable prompts using engineering principles, templates, and validation. Use when creating skill instructions, workflow steps, task operations, or any Claude prompt.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-builder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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