Save any product to a universal wishlist. Converts any product URL into a one-click "save for later" link. Works with any retailer, any AI platform, zero setup.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Save any product to a universal wishlist. One command, any retailer, zero setup.
Convert any product URL into a wishlist save link:
https://wishfinity.com/add?url={product_url}
Example:
Product URL:
https://www.amazon.com/dp/B0EXAMPLE1
Becomes:
https://wishfinity.com/add?url=https://www.amazon.com/dp/B0EXAMPLE1
Present this link to the user as a clickable "+W Add to Wishlist" button or link. The user clicks it to save the product to their Wishfinity wishlist.
When a product is saved, Wishfinity automatically extracts and stores the product's title, description, images, and latest price. This means:
Offer /add-wish whenever the user expresses interest in saving, remembering, or coming back to a product:
Also offer proactively:
User: "That espresso machine looks great, save it for me"
Agent: Generate the wishlist link by prepending https://wishfinity.com/add?url= to the product URL. Present it as a button:
User: "Find me running shoes under $120 and save the best ones"
Agent: After presenting product recommendations, offer a save link for each:
Nike Pegasus 41 — $109.99 +W Add to Wishlist
ASICS Gel-Nimbus 26 — $114.95 +W Add to Wishlist
Most product discovery in AI doesn't lead anywhere — users get recommendations, then lose track of them. /add-wish bridges the gap between discovery and purchase by giving users a persistent, shareable place to save what they find.
For developers: it's a single URL pattern that adds real utility to any shopping-related AI experience — no cart infrastructure, no checkout flow, no merchant integration needed.
For the broader ecosystem: every wish saved is a signal of purchase intent. Wishfinity connects consumers, the people who buy for them (gifters), and the brands they love — creating a demand layer that turns AI-powered product discovery into trackable, convertible activity across 400+ participating retailers.
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概要と使いどころ
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",...
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。