Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers.
Run the script from the skill directory:
python3 scripts/find_questions.py "travel itinerary"
--modifiers what how why should — override default modifiers (default: what how why should can does is when where which will are do)--delay 0.5 — seconds between requests (use 0.5–1.0 when running many topics in batch)--json — output as JSON for programmatic use--volume — 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 — DataForSEO location code (default: 2840 = US)--lang en — language code for volume lookup (default: en)# 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
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.
For each modifier, the script queries https://suggestqueries.google.com/complete/search with "{modifier} {topic}" and returns the autocomplete suggestions. No API key required.
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name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token，保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
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Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
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Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
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Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
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Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
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Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
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