Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
AEO Prompt Question Finder
Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete...
skill openclawclawhub Free
Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/find_questions.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- psyduckler
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Prompt Question Finder
Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers.
Usage
Run the script from the skill directory: python3 scripts/find_questions.py "travel itinerary"
Options
--modifiers what how why should β override default modifiers (default: what how why should can does is when where which will are do) --delay 0.5 β seconds between requests (use 0.5β1.0 when running many topics in batch) --json β output as JSON for programmatic use --volume β fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain: dataforseo-login / dataforseo-password, or env vars DATAFORSEO_LOGIN / DATAFORSEO_PASSWORD) --location 2840 β DataForSEO location code (default: 2840 = US) --lang en β language code for volume lookup (default: en)
Examples
# Default modifiers (what, how, why) python3 scripts/find_questions.py "protein powder" # Custom modifiers python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when # JSON output python3 scripts/find_questions.py "travel itinerary" --json
Rate Limits
Google Autocomplete is an unofficial endpoint. Single-topic runs (10 requests) are safe. When running multiple topics in batch or parallel, always use --delay 0.5 or higher to avoid temporary IP blocks.
How It Works
For each modifier, the script queries https://suggestqueries.google.com/complete/search with "{modifier} {topic}" and returns the autocomplete suggestions. No API key required.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/find_questions.py