Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and query a FAQ knowledge base from markdown files. Use when asked to create a FAQ bot, set up automatic answers, build a knowledge base, add FAQ entri...
Build and query a FAQ knowledge base from markdown files. Use when asked to create a FAQ bot, set up automatic answers, build a knowledge base, add FAQ entri...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Build a searchable knowledge base from markdown files. Match incoming questions to the best FAQ answer using fuzzy text matching.
# Initialize a new FAQ knowledge base python scripts/faqbot.py init # Add a FAQ entry interactively python scripts/faqbot.py add -q "What are your business hours?" -a "We are open Monday to Friday, 9 AM to 6 PM CET." # Import FAQs from a markdown file python scripts/faqbot.py import faq-source.md # Search for the best matching answer python scripts/faqbot.py search "when are you open" # List all FAQ entries python scripts/faqbot.py list # Export all FAQs to markdown python scripts/faqbot.py export --format md -o faqs-export.md # Export as JSON python scripts/faqbot.py export --format json -o faqs.json # Remove a FAQ entry by ID python scripts/faqbot.py remove 3 # Get stats about the knowledge base python scripts/faqbot.py stats
CommandArgsDescriptioninitCreate a new empty knowledge baseadd-q QUESTION -a ANSWER [-t TAGS]Add a single FAQ entryimport<file.md>Import FAQs from markdown (H2 = question, body = answer)search<query> [--top N] [--threshold T]Find best matching answer(s)list[--tag TAG]List all FAQ entriesremove<id>Remove a FAQ entryexport[--format md|json] [-o FILE]Export knowledge basestatsShow knowledge base statistics
Uses TF-IDF-like fuzzy matching on question text Returns confidence score (0.0 to 1.0) Default threshold: 0.3 (adjustable with --threshold) Returns top 3 matches by default (adjustable with --top)
This skill is designed to work as a WhatsApp FAQ bot. When a user asks a question, the agent can use the search command to find the best match and respond automatically. Configure it in your cron or agent system prompt.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.