A structured interview agent that automates the creation of ready-to-use AI skill packages by guiding users through a three-round requirement gathering process.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-interview-builder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-interview-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Interview Builder?
The Skill Interview Builder is a specialized tool designed to bridge the gap between a user's idea and a technically sound AI skill. It eliminates the need for users to master complex formatting or directory structures by using a structured dialogue to extract intent, constraints, and environmental requirements. This skill is essential for maintaining high standards within Openclaw Skills by ensuring every generated package follows best practices for prompting and organization.
By synthesizing user responses into a comprehensive SKILL.md file and a structured folder hierarchy, it provides a seamless developer experience. Whether you are building for Claude Code, Cursor, or ChatGPT, this builder adapts its output to provide the most efficient delivery method possible, from ZIP archives to direct file system writes.
Skill Interview Builder Use Cases
- Creating a new Openclaw Skills package from scratch using natural language.
- Standardizing skill development workflows for teams and organizations.
- Generating structured documentation and folder hierarchies for complex agentic tasks.
- Converting loose ideas into executable, testable AI skill definitions with specific triggers.
How Skill Interview Builder Works
- The user triggers the process by requesting an interview to build a new skill.
- Round 1: The agent collects the core intent, natural language triggers, and the definition of done.
- Round 2: The agent identifies the execution environment and specifies necessary tools or reference materials.
- Material Collection: The agent actively prompts for and organizes assets into references, examples, and scripts folders.
- Round 3: The agent establishes the output contract, including specific formatting and content constraints.
- Generation: The agent synthesizes all collected data into a production-ready SKILL.md and packages the entire directory structure.
Skill Interview Builder Setup
To use this skill, ensure it is available in your agent's skill directory. You can initiate the builder by using a trigger phrase containing the word interview.
# Example trigger within an AI coding agent
claude "I want to build a skill via interview"
Skill Interview Builder Data Schema & Taxonomy
The skill generates a standardized directory structure to ensure compatibility across different AI environments:
| Directory | File | Description |
|---|---|---|
/ |
SKILL.md |
The core logic and instruction file for the AI agent. |
/references |
*.md |
Reference documents such as style guides or industry standards. |
/examples |
*.md |
High-quality positive and negative samples for few-shot learning. |
/scripts |
*.sh, *.py |
Helper scripts required for the skill to execute technical tasks. |
/assets |
*.* |
Static resources like images, fonts, or templates. |
Skill Interview Builder Advanced Features
- Multi-round summary confirmation to resolve ambiguities and contradictions before file generation.
- Adaptive delivery logic that switches between ZIP packaging, direct file system writing, or raw text output based on the IDE capabilities.
- Automated generation of a 5-point test prompt suite to validate trigger logic and boundary cases.
- Placeholder management that creates README.md files for missing resources, guiding future improvements for Openclaw Skills.
SKILL.md
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