An interactive discovery skill that interviews users to map out, structure, and document complex workflows before any automation or building begins.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install process-interviewer
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 process-interviewer 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 Process Interviewer?
The Process Interviewer skill provides a structured framework for AI agents to gather requirements, clarify edge cases, and define explicit boundaries for any workflow before implementation. It serves as a tactical discovery phase that prevents flawed builds by extracting the underlying rules, decision points, and quality criteria directly from users.
By leveraging this component of Openclaw Skills, developers and teams can systematically transition ambiguous human processes into predictable, automated systems. The skill ensures that all necessary context—ranging from software tools and credentials to approval gates and real-world examples—is thoroughly documented before a single line of code or automation script is written.
Process Interviewer Use Cases
- Transitioning manual workflows into structured automated processes.
- Designing comprehensive Standard Operating Procedures (SOPs) and technical documentation.
- Creating precise execution briefs for other AI agents or development teams.
- Mapping out edge cases and failure modes for complex data integrations.
- Scoping out customized skill requirements, bot designs, or plugin configurations.
How Process Interviewer Works
- Trigger Recognition: The skill activates when a user mentions wanting to automate, document, delegate, or design a new workflow or system.
- Iterative Interviewing: The agent guides the user through seven distinct phases, asking one focused question at a time to prevent information overload.
- Context Compounding: After each user response, the agent summarizes what is understood before moving to the next sequential question.
- Constraint & Exception Mapping: The agent systematically uncovers hidden rules, tools used, required access permissions, and potential failure states.
- Brief Synthesis: Once all validation criteria are met, the skill generates a comprehensive, production-ready process brief and optional skill specification add-on.
Process Interviewer Setup
To integrate Process Interviewer into your existing project setup, add the configuration schema to your agent's capability definitions folder.
# Navigate to your agent's skill directory
cd skills/protocols
# Initialize the skill definition file
touch process-interviewer.md
Ensure that your LLM prompt routing system includes process-interviewer within its active orchestrator registry to enable conversational triggers.
Process Interviewer Data Schema & Taxonomy
The skill captures, organizes, and taxonomizes data gathered during the conversation into a finalized Markdown process brief using the following structural schema:
| Document Section | Data Types Captured | Target Details |
|---|---|---|
| Context & Objective | Text | Process ownership, target users, and fundamental business value. |
| Current Process | Map / List | Triggers, step-by-step human actions, tools, and credentials involved. |
| Desired Output | Specifications | Format, language, tone, destination channel, and success metrics. |
| Rules & Exceptions | Logic Matrix | Decision trees, routing paths, validation criteria, and failure handling. |
| Validation Examples | Code / Text Blocks | At least one real-world input and its corresponding ideal output. |
Process Interviewer Advanced Features
- Dynamic Context Compressing: Automatically compresses interview phases if the user proactively provides multi-layered workflow data early in the discussion.
- Implicit Assumption Flagging: Automatically categorizes minor missing details as documented technical assumptions rather than stalling the interview process.
- Skill Brief Add-on Generator: Generates clean, ready-to-copy target configurations for secondary agent execution, including reliable activation phrases and anti-patterns to avoid.
- Strict Approval Gate Isolation: Hardcodes explicit barriers around destructive commands, credential linkage, public messaging, and financial transactions to ensure absolute safety before automation.
SKILL.md
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