An AI agent skill designed to help developers evaluate, locally deploy, and compare the desktop and self-hosted versions of deeptutor.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deeptutor-f75dc7
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 deeptutor-f75dc7 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 deeptutor-f75dc7?
The deeptutor-f75dc7 skill provides a structured knowledge base and automated workflow for comparing deeptutor local deployment with its desktop edition. Based on practical developer insights, this skill helps users weigh the performance, privacy, and configuration differences between hosting deeptutor on local infrastructure versus using the standard pre-built desktop application.
By leveraging Openclaw Skills, engineering teams and AI developers can streamline their evaluation process. The skill enables automated assistance when analyzing local setup configurations, determining hardware compatibility, and extracting deployment practices shared across community resources, ensuring an optimized environment for your AI tutoring or coding assistants.
deeptutor-f75dc7 Use Cases
- Evaluating whether to run deeptutor locally on private infrastructure or use the desktop edition.
- Automating guidance for developers configuring local deployment setups.
- Troubleshooting and retrieving specific reference guides regarding deeptutor versions.
- Triggering AI developer assistance when users explicitly ask for deeptutor help or version comparisons.
How deeptutor-f75dc7 Works
- Trigger Identification: The AI agent detects specific user phrases such as "deeptutor" or queries comparing local deployment versus the desktop edition.
- Context Analysis: The system parses internal knowledge bases and verified community reference sources to establish technical parameters.
- Conceptual Grounding: The skill provides a structured breakdown of the core deeptutor concepts and highlights key differences in hosting environments.
- Execution Guidance: Step-by-step instructions and references from hands-on deployment cases are provided to guide the user through their chosen deployment mechanism.
deeptutor-f75dc7 Setup
To activate this skill within your Openclaw Skills environment, add it to your agent configuration directory and trigger a reload:
# Clone or download the skill into your local skills directory
mkdir -p ~/.openclaw/skills/deeptutor-f75dc7
# Initialize configuration and verify compatibility
openclaw skills enable deeptutor-f75dc7
Ensure that your environment runs an execution layer compatible with opencode as specified in the skill requirements.
deeptutor-f75dc7 Data Schema & Taxonomy
The skill maintains metadata tracking and external reference mapping to ensure accuracy during execution:
| Attribute | Description |
|---|---|
name |
deeptutor-f75dc7 |
compatibility |
opencode |
trigger |
deeptutor / deeptutor本地部署与桌面版对比 |
tags |
code, deeptutor, video-learned |
External Learning References
- Bilibili Source 1: Video ID
BV1cVk7BdE8J(Hash: d75b550d2273dc5f443abfcdf9fe4a1b) - Bilibili Source 2: Video ID
BV1fD421M7Rr(Hash: f07bd3dc8592f0e41f75a198235951e9)
deeptutor-f75dc7 Advanced Features
- Multi-Phrase Intent Recognition: Automatically handles diverse phrasing variations across English and Chinese localized technical prompts.
- Video-Learned Knowledge Mapping: Seamlessly integrates external video documentation and cryptographic source hashes to ensure source traceability.
- Adaptive IDE Compatibility: Operates directly within
opencodecompliant agent protocols to offer context-aware code and architecture suggestions.
SKILL.md
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