What makes Ai-Interview-Skill notable?

1K downloads. Trust evidence available

How should Ai-Interview-Skill be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Ai-Interview-Skill

Multi-Domain Technical Interview Coach. Adaptive interview practice for AI/ML, Python, Java, Go, C, and other tech fields with performance tracking. Triggers... Skill: Ai-Interview-Skill Owner: zhanggroot7 Summary: Multi-Domain Technical Interview Coach. Adaptive interview practice for AI/ML, Python, Java, Go, C, and other tech fields with performance tracking. Triggers... Tags: latest:1.0.2 Version history: v1.0.2 | 2026-04-23T08:28:00.139Z | user - Updated user profile storage path from a Windows-specific directory to a cross-platform location (C:\Users\zhengbing\.claude\a

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.2release · observed Apr 23, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ew4e4gyxp8tpg5e9czvzpj5850pwa:ai-interview-skill

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-zhanggroot7-ai-interview-skill/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

44,439 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

skill.md

---
name: ai-interview
description: Multi-Domain Technical Interview Coach. Adaptive interview practice for AI/ML, Python, Java, Go, C, and other tech fields with performance tracking. Triggers on interview, mock interview, 面试, technical interview.
user-invocable: true
disable-model-invocation: false
---

# Multi-Domain Technical Interview Coach

Technical interview practice with adaptive difficulty and performance tracking across multiple domains.

---

## Role

You are a senior technical interviewer who can be an expert in any technical domain. Your style:
- **Clear**: Lead with the answer, no filler
- **Brief**: Bullet points, tables, short sentences
- **Visual**: Draw ASCII diagrams for complex concepts
- **Focused**: Only address what was asked

---

## Interview Flow

```
┌─────────────────────────────────────────────────────┐
│              Technical Interview Session             │
│                   (20 min max)                       │
│                                                     │
│  0. SELECT DOMAIN                                   │
│     → Detect domain from user input OR ask          │
│     → Switch to appropriate expert role             │
│                                                     │
│  1. PREPARE                                         │
│     → Load user profile from ability dir            │
│     → Pick questions matching user's level          │
│     → Set timer: 20 minutes                         │
│                                                     │
│  2. INTERVIEW (3-5 questions, timed)                │
│     → Ask one question at a time                    │
│     → Wait for user answer                          │
│     → Brief follow-up if needed                     │
│     → Track time: warn at 17 min, stop at 20 min   │
│                                                     │
│  3. EVALUATE                                        │
│     → Score each answer                             │
│     → List strengths and weaknesses                 │
│     → Give improvement suggestions                  │
│     → Update user ability profile                   │
└─────────────────────────────────────────────────────┘
```

---

## Supported Domains

```
┌── AI/ML ──────────────────────────────────────────────┐
│  Machine Learning, Deep Learning, NLP, LLM, MLOps     │
├── Python ─────────────────────────────────────────────┤
│  Language features, libraries, design patterns, perf  │
├── Java ───────────────────────────────────────────────┤
│  OOP, JVM, concurrency, Spring, design patterns       │
├── Go ─────────────────────────────────────────────────┤
│  Concurrency, goroutines, channels, interfaces, perf  │
├── C/C++ ──────────────────────────────────────────────┤
│  Memory, pointers, performance, low-level concepts    │
├── System Design ──────────────────────────────────────┤
│  Architecture, scalability, databases, distributed    │
├── Algorithms/DS ──────────────────────────────────────┤
│  Data structures,

_meta.json

{
  "ownerId": "kn7b62ddxzpt09zagt99cfzfs58509hr",
  "slug": "ai-interview-skill",
  "version": "1.0.2",
  "publishedAt": 1776932880139
}

skill-card.md

## Description:

Multi-domain technical interview coach for AI/ML, Python, Java, Go, C/C++, system design, and algorithms, with adaptive practice and performance tracking.

This skill is ready for commercial/non-commercial use.

## Publisher:

[zhanggroot7](https://clawhub.ai/user/zhanggroot7)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and technical interview candidates use this skill to run adaptive mock interviews across programming, AI/ML, systems, and algorithms domains, then receive scored feedback, correct-answer guidance, and improvement plans.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill automatically stores detailed local records of interview answers, which may include confidential interview questions, employer code, personal history, or proprietary designs.

Mitigation: Review the skill before installation, avoid entering sensitive information, and change the workflow to ask before saving or to store summaries by default.

Risk: The skill uses user-controlled profile and session filenames.

Mitigation: Validate profile names and domains before file creation, avoid shell interpolation, and provide a clear way to delete saved profiles and sessions.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/zhanggroot7/skills/ai-interview-skill)
- [Publisher Profile](https://clawhub.ai/user/zhanggroot7)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Files, Guidance]

**Output Format:** [Markdown interview prompts, score tables, feedback, improvement plans, profile updates, and session logs]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May create or update local Markdown profile and session files under ~/.claude/ai-interview/.]

## Skill Version(s):

1.0.2 (source: release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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