# Сопутствующие статьи по теме Tutorial

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Tutorial", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Hot Interaction Compilation | AllScale Points Tasks; Skew Waitlist Application (July 22)

**Summary: Hot Interaction Roundup – AllScale Point Tasks & Skew Waitlist Application (July 22nd)** This article from Odaily introduces three crypto projects with current user interaction opportunities. **1. AllScale: Self-Custody Stablecoin Digital Bank** AllScale is a non-custodial fintech platform enabling instant, low-cost cross-border payments with stablecoins like USDT/USDC. It recently secured a $5 million seed round. Users can earn points by: visiting the official website, creating an account, verifying their email (100 pts), completing a 7-day consecutive login streak (300 pts), and finishing the first "invoice receipt" task (400 pts). **2. Skew: Building "Next-Generation Markets" on Hyperliquid** Skew is an early-stage project focused on creating new markets on the Hyperliquid chain, recently receiving $33 million in funding from Hyperion. Interaction is simple: visit the Skew website and submit your X (Twitter) email, X handle, and Telegram username to join the early access waitlist. **3. GIWA Chain: Upbit's Ethereum L2** GIWA Chain is an Ethereum Layer 2 solution by South Korean exchange Upbit, currently on public testnet. The interaction guide involves: adding the GIWA test network to your wallet, claiming testnet ETH via the official faucet (requires idle mining) or a cross-chain bridge, and creating a personal "Up ID" to perform verification and token transactions on the testnet.

Odaily星球日报Вчера 12:10

Hot Interaction Compilation | AllScale Points Tasks; Skew Waitlist Application (July 22)

Odaily星球日报Вчера 12:10

PANews Column Registration and Article Submission Guide

"PANews Column Registration and Submission Guide" provides instructions for users to register as columnists and publish articles on the PANews platform. Key application requirements are emphasized: content should focus on in-depth analysis within Crypto, Web3, blockchain, data, and viewpoints. Content primarily for brand/product introductions will not be approved, and heavily AI-generated content will be rejected. Promotional (PR/soft) content is directed to the business channel. **Registration Process:** * **Web:** Go to the official website footer, click "Apply for Column," and register with a phone number or email (login via verification code, no password). Fill in the column name, description, upload an avatar, and submit links to previously published work. * **Mobile:** Navigate to "My" -> "Contribute & Create" and complete the form. **Article Submission Tutorial:** 1. Log in to the PANews website. 2. Access the "Creator Center" from your personal homepage. 3. Use the editor to create and publish articles. **Video Upload:** The platform supports embedding videos from third-party sites (e.g., Bilibili). Copy the embed code from the source video, use the editor's "Insert/Edit media" button, paste the code under the "Embed" tab, and adjust the display size (recommended: width 100%, height 560px). **PANews Skills (AI Agent Tool):** PANews offers an official AI Agent skill set called PANews Skills, enabling AI tools to query platform content, track trends, and publish column articles directly. It includes three main skills: 1. `panews`: For tracking daily must-read lists, popular articles, and funding news. 2. `panews-creator`: For managing columns, publishing articles, and uploading images. 3. `panews-web-viewer`: For parsing PANews webpages into Markdown. These skills are compatible with various AI Agent tools (OpenClaw, Cursor, Claude Code, ChatGPT, Gemini, etc.). To use the `panews-creator` skill, users must obtain a specific authentication value from the PANews website after logging into their columnist account.

marsbit06/16 06:38

PANews Column Registration and Article Submission Guide

marsbit06/16 06:38

Season One of The Beacon Chain Game Goes Live, A Comprehensive Guide to the 7.7 Million BCN Prize Pool and Chest Mechanics

"The Beacon" Season 1 is now live with a 7.7 million BCN prize pool. This guide provides a tutorial and gameplay strategies. To start, players must sign in via a Web3 wallet at the official app, download the game via the Epic Store for optimal experience, and control their character using WASD keys. An optional $19.99 "Starter Pack" provides 2000 Glint and premium chests. Gameplay currently offers two main paths. First, the "Dungeon" (up from spawn) costs 20 Stamina per run to earn Shadow Shards, which exchange for Umbra Chests. Second, "Kraken Klash" (right from spawn) is a betting mini-game using Goblin Tokens to guess correct tiles for rewards. Rewards consist of Cosmetics and BCN tokens. Free players receive account-bound cosmetics, while Starter Pack purchasers ("Premium" players) receive tradable NFT cosmetics. The season features three chest types: 1. **Umbra Chests** (from Shadow Shards): Contain cosmetics and small BCN amounts (Premium only). 2. **Kraken Chests** (from Goblin Tokens): Contain exclusive cosmetics and larger BCN amounts (Premium only). 3. **Glint Chests** (from Glint, premium currency): Contain exclusive cosmetics and the largest BCN amounts (Premium only). Each chest type (Umbra, Kraken, Glint) has detailed rarity probabilities (Common, Rare, Epic, Legendary) and BCN reward distributions listed for free and premium versions. The four in-game currencies are: Shadow Shards, Goblin Tokens, Glint, and BCN. A stable earning method is farming dungeons for Shadow Shards to exchange for Umbra Chests. Kraken Klash is a higher-risk, higher-reward option using Goblin Tokens.

Odaily星球日报05/26 01:04

Season One of The Beacon Chain Game Goes Live, A Comprehensive Guide to the 7.7 Million BCN Prize Pool and Chest Mechanics

Odaily星球日报05/26 01:04

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

A No-Code Guide to Building Your First AI Agent in a Weekend This article presents a weekend, zero-code tutorial for beginners to build a functional AI Agent using tools like Claude. It clarifies the core difference between a chatbot, which responds to queries, and an Agent, which autonomously plans and executes multi-step tasks using tools to deliver a final result. The process is broken into four stages over two days: 1. **Saturday Morning: Understanding Agents.** Learn that an Agent requires a clear Goal, a Plan, necessary Tools, and an execution Loop. Identify a simple, multi-step task from your own work/life as your first project. 2. **Saturday Afternoon: Building with Claude.** Create a one-page "Agent Blueprint" answering: the Goal, sequential Steps, required Tools, the desired Output format, and error-handling rules. Implement this blueprint in Claude (Desktop Cowork or web Projects) and run the Agent for the first time. 3. **Sunday Morning: Debugging & Optimization.** Review the initial (often 60-70% accurate) output. Identify flaws, trace them back to vague instructions in your blueprint, and refine it with more specific criteria and error handling. Iterate this run-review-refine cycle 3-4 times to reach ~90% reliability. 4. **Sunday Afternoon: Expansion.** Apply the learned workflow to quickly build a second, different Agent (e.g., for research, content repurposing, or meeting prep), experiencing the compounding efficiency gains. The core skill is not writing a perfect blueprint initially, but rapidly iterating based on output. By the end of the weekend, you'll have built two usable Agents, moving beyond just chatting with AI to automating multi-step workflows, fundamentally changing how you approach repetitive tasks.

marsbit05/16 15:19

No Coding Required: Build Your First AI Agent in 2 Days (Complete Tutorial)

marsbit05/16 15:19

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

This is a comprehensive guide to mastering Claude Skills, a feature for creating permanent, reusable instruction sets that automate specific workflows. Unlike simple saved prompts, Skills function like trained employees, delivering consistent, high-quality outputs by defining the entire task process, standards, error handling, and output format. The guide is structured in four phases: **Phase 1: Installation (5 minutes).** Skills are folders containing a `SKILL.md` file. The user is instructed to find a relevant Skill online, install it, test it on a real task, and compare its performance to one-off prompts. **Phase 2: Building Your First Custom Skill.** Start by rigorously defining the Skill's purpose, trigger phrases, and providing a concrete example of perfect output. The `SKILL.md` file has two parts: a YAML frontmatter with a specific name/description/triggers, and a detailed, step-by-step workflow written in natural language with examples and quality standards. **Phase 3: Testing & Optimization for Production.** Test the Skill in three scenarios: 1) a standard, common task; 2) edge cases with missing or conflicting data; and 3) a pressure test with maximum complexity. Any failure indicates a needed instruction. Implement a weekly optimization cycle to continuously refine the Skill based on real usage. **Phase 4: Building a Complete Skill Library.** The goal is to create a team of Skills for all repetitive tasks. Examples are given for industries like real estate, marketing, finance, consulting, and e-commerce. The user should list their tasks, prioritize them, and build one new Skill per week, maintaining a master document to track their library. The conclusion emphasizes the compounding time savings: ten Skills saving 30 minutes each per week reclaims over 260 hours (6.5 work weeks) per year, fundamentally transforming one's work system.

marsbit05/12 09:45

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

marsbit05/12 09:45

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

The article "AI致富教程:先搞色色,再去卖课" (AI Money-Making Guide: Start with Adult Content, Then Sell Courses) explores how AI-generated content (AIGC) is being monetized, particularly through adult entertainment and low-barrier creative work, before ultimately shifting to selling instructional courses. A16Z’s report highlights a striking trend: in the U.S., user spending on OnlyFans surpassed combined spending on OpenAI and The New York Times. This reflects a broader pattern where “sexual appeal outperforms productivity.” Early adopters used tools like Midjourney and Stable Diffusion to create AI-generated virtual models, offering “girlfriend experiences” on platforms like Fanvue, where AI models now contribute significantly to revenue. Similarly, some turned to AI-generated children’s books, though market saturation and quality issues quickly diminished profitability. Both paths often lead to selling courses—packaging the “get-rich-quick” illusion to newcomers. However, the real barrier isn’t technical proficiency but aesthetic judgment: the ability to translate vague ideas into precise prompts. Those with design, photography, or writing backgrounds excel because they know what “good” looks like; others struggle even with advanced tools. The rise of AI also brings ethical and trust issues. Clients often reject AI-assisted work on principle, perceiving it as “unfair” or lacking human effort. Regulations now require AI-generated content labeling, but boundaries remain unclear—especially for hybrid human-AI creations. The core question isn’t just whether AI was used, but whether someone is genuinely accountable for the output. In summary, while AI lowers entry barriers for content creation, success still hinges on traditional skills like审美 (aesthetic sense), and the real money often moves from creating content to selling the dream of easy success.

marsbit03/23 10:52

AI Wealth Tutorial: Start with NSFW, Then Sell Courses

marsbit03/23 10:52

Now is the Best Time to Interact with Polymarket (Exclusive Tutorial Included)

Polymarket, a prediction market platform, is currently offering an exceptional opportunity for users to earn liquidity provider (LP) rewards, particularly due to a massive $2 million subsidy program for NCAA's "March Madness" basketball tournament events. The core strategy for effective interaction is to focus on accumulating these LP rewards instead of solely trading, as a significant majority of users have never received any. To qualify, users must provide liquidity on specific, subsidized events by placing orders within a maximum spread (e.g., ±1¢) and a minimum share amount (e.g., 1000 shares). Rewards are distributed daily, but only if they exceed $1. The article provides a step-by-step guide: First, select an event with high subsidies from the Rewards page, preferably one starting later to minimize price volatility and inventory risk. For example, a game starting days later showed almost no price movement. Next, use the Split function to create equal buy and sell shares from a minimum of $1000, then place limit sell orders on both sides. It's advised to place orders slightly away from the market price (e.g., the second position) to reduce the risk of orders being filled, which would require rebalancing. Users should monitor their positions and consider withdrawing orders about one day before the event starts to avoid last-minute volatility, then potentially move funds to a later event. The author reports earning $4.31 in rewards over a few hours with minimal effort, highlighting that the current high subsidies and low volatility make this a relatively low-risk strategy to enhance one's Polymarket activity profile.

Odaily星球日报03/18 09:49

Now is the Best Time to Interact with Polymarket (Exclusive Tutorial Included)

Odaily星球日报03/18 09:49

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