A high-performance FAQ management tool for Feishu bots that builds searchable knowledge bases from Markdown files using fuzzy matching.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bo-faq-bot
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 bo-faq-bot 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 Feishu FAQ Bot?
The Feishu FAQ Bot is a specialized utility designed for the Openclaw Skills ecosystem to streamline the creation and management of automated Q&A systems. It allows developers to transform simple Markdown documents into structured, searchable knowledge bases, making it easier to serve accurate information to users. This skill is particularly effective for Feishu business bots where quick, automated responses are critical for operational efficiency.
By leveraging this component of Openclaw Skills, teams can migrate static documentation into a dynamic environment. The tool uses TF-IDF-like fuzzy text matching to ensure that incoming questions are mapped to the best possible answer, even if the user phrasing is slightly different from the source material. This provides a robust foundation for any automated support strategy or internal knowledge retrieval system.
Feishu FAQ Bot Use Cases
- Automating customer support responses for Feishu business bots to reduce manual ticket volume.
- Building internal team knowledge bases from existing technical documentation for faster onboarding.
- Migrating static FAQ pages into a dynamic, searchable CLI-managed system for better accessibility.
- Providing instant technical support answers within a developer workspace or automated chat environment.
How Feishu FAQ Bot Works
- Initialize the knowledge base using the init command to set up the local data storage structure.
- Import existing FAQ content from Markdown files where H2 headers are treated as questions and the following text as answers.
- Add or modify specific entries via the CLI to keep the database current with the latest business information.
- Process user queries through the search command, which calculates a confidence score for potential matches.
- Integrate the search output with your bot framework to provide automated, real-time responses to end-users.
Feishu FAQ Bot Setup
To get started with this part of Openclaw Skills, follow these steps:
# Initialize a new FAQ knowledge base
python scripts/faqbot.py init
# Import FAQs from an existing markdown file
python scripts/faqbot.py import faq-source.md
# Test the search functionality
python scripts/faqbot.py search "your question here"
Feishu FAQ Bot Data Schema & Taxonomy
The skill organizes data using a structured ID-based system to ensure high-speed retrieval. The schema follows this structure:
| Field | Type | Description |
|---|---|---|
| ID | Integer | Unique identifier for each FAQ entry |
| Question | String | The query text derived from Markdown H2 headers |
| Answer | String | The descriptive body text associated with the question |
| Tags | List | Optional metadata labels for improved filtering |
| Score | Float | Search confidence rating between 0.0 and 1.0 |
Feishu FAQ Bot Advanced Features
- Advanced fuzzy matching algorithms that provide high-precision search results for natural language queries.
- Customizable confidence thresholds that allow developers to fine-tune how strict the bot is when suggesting answers.
- Multi-format export capabilities allowing the knowledge base to be saved as JSON or Markdown for portability.
- Batch processing support to import thousands of FAQ entries from legacy documentation in seconds.
- Tag-based filtering to segment the knowledge base by department, product, or user type.
SKILL.md
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