“vibe-coding”的搜索结果

Patterns for vibe coding that produce production-quality output instead of garbage. Covers prompt engineering for AI coding, verification without reading every line, accept/reject/refine decision framework, architectural guardrails, context management (CLAUDE.md, .cursor/rules), TDD-driven vibe coding, screenshot-driven development, diff review discipline, and the anti-patterns that destroy quality. Activate on: "vibe coding", "AI coding quality", "Claude Code workflow", "AI-assisted development", "how to use AI for coding", "coding with AI", "agentic engineering workflow", "AI code quality", "vibe code without garbage", "production quality AI code", "CLAUDE.md setup", "cursorrules setup", "pre-commit hooks for AI", "TDD with AI", "test-driven vibe coding". NOT for: multi-person collaborative coding sessions (use cooperative-vibe-coding), building AI/LLM applications (use ai-engineer), prompt engineering for non-coding LLM use cases (use prompt-engineer).

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Cooperative vibe coding across machines — real-time collaborative development with humans and AI agents. Covers current tools (Live Share, Code With Me, Zed, Cursor multiplayer, tmux), git-based async patterns, AI agent coordination, and the aspirational future of multi-human multi-agent development. Activate on: "pair programming", "vibe coding together", "collaborative coding", "mob programming", "remote pairing", "code together", "multiplayer coding", "Live Share", "Code With Me", "ensemble programming", "cooperative development". NOT for: building a real-time collaboration ENGINE (use real-time-collaboration-engine), git workflow mechanics (use git-best-practices), single-user AI coding assistance (use prompt-engineer).

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Cooperative vibe coding across machines — real-time collaborative development with humans and AI agents. Covers current tools (Live Share, Code With Me, Zed, Cursor multiplayer, tmux), git-based async patterns, AI agent coordination, and the aspirational future of multi-human multi-agent development. Activate on: "pair programming", "vibe coding together", "collaborative coding", "mob programming", "remote pairing", "code together", "multiplayer coding", "Live Share", "Code With Me", "ensemble programming", "cooperative development". NOT for: building a real-time collaboration ENGINE (use real-time-collaboration-engine), git workflow mechanics (use git-best-practices), single-user AI coding assistance.

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使用 Flox 将开发工具、数据库、版本及配置集中到文件中，建立可在 macOS 和 Linux 上复现的开发环境，并与团队共享或为智能体添加项目工具。

• 统一团队的开发环境
• 管理语言工具与系统依赖
• 在本地启动 PostgreSQL 和 Redis

Get documentation-based help with PostgreSQL queries, database design, administration, and performance tuning. The supplied reference also explains connection settings and libpq, PostgreSQL’s C client library, for investigating connection failures and implementing connection handling.

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• Writing SQL and planning database structures
• Checking connection strings and parameter settings
• Investigating connection failures with libpq

Develop time-series and event-data solutions with TimescaleDB, an extension for PostgreSQL. The skill provides organized references for installation, time-based tables, ongoing aggregate calculations, compression, and performance troubleshooting.

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• Learn how to install and use TimescaleDB
• Design tables for time-series and event data
• Implement time-bucket and continuous aggregates

Build Python applications that collect live cryptocurrency prices, trades, and order books with Cryptofeed. Covers consistent data formats across exchanges, price comparisons, and writing incoming data to storage systems for monitoring and analysis.

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• Monitoring prices across cryptocurrency exchanges
• Analyzing order book depth
• Analyzing executed trade flows

Build image export features for HTML elements with snapDOM. The skill covers SVG, PNG, JPG, and WebP output, preserving styles and fonts, adjusting dimensions, excluding elements, and troubleshooting missing resources.

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• Adding image downloads for HTML elements
• Exporting charts and graphics as SVG
• Creating images with specified dimensions

Use CoinGecko API documentation to build cryptocurrency price trackers and market data integrations. The skill supports implementation and debugging for access to prices, market capitalization, trading volume, and historical data.

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• Building a cryptocurrency price tracker
• Integrating market capitalization and trading volume data
• Exploring how to retrieve historical prices

Build applications that use Polymarket market data and trading APIs. The skill guides live monitoring through WebSocket connections, which receive ongoing updates, including trades, orders, market comments, and cryptocurrency prices.

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• Build an app that retrieves prediction market data
• Monitor live trades and price changes
• Track market comments and reactions

Develop applications with the Claude API using examples from Anthropic's official cookbooks. Explore document summarization, image analysis, document retrieval, external tool calls, and prompt caching through practical Python code and implementation guidance.

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• Learning basic Claude API integration
• Building an assistant that searches documents
• Extracting text and information from images

Turn documentation, code, and specifications into reusable Agent Skills. Define when each skill should activate, organize supporting references, add reproducible examples, and check new or existing skills with templates, a checklist, and a validator.

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• Creating an Agent Skill from documentation and code
• Reorganizing an overly long SKILL.md
• Clarifying skill activation conditions and boundaries

Develop cryptocurrency trading bots with Hummingbot documentation and code examples. Explore exchange connections, price and order book data, and strategies such as market making, which places buy and sell orders, or arbitrage across markets.

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• Developing a cryptocurrency trading bot
• Exploring market making and arbitrage strategies
• Checking exchange connection settings

Build cryptocurrency exchange integrations with CCXT in JavaScript, Python, or PHP. The skill helps retrieve market data, manage orders, automate trading workflows, check exchange-specific capabilities, and investigate API errors using reproducible examples and logs.

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• Retrieve market data from multiple cryptocurrency exchanges
• Implement order management and trading automation
• Check support for stop-loss and take-profit orders

Learn Claude Code workflows through a Chinese-language guide covering tool use, large-file analysis, task tracking, and troubleshooting. It also explains MCP, a protocol for connecting external systems, alongside development and review patterns.

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• Learn tool use and development workflows
• Analyze large files in manageable sections
• Study MCP connections to external systems

Retry commands that fail with network errors through proxychains4, a tool that routes connections through a proxy. The skill also guides proxy configuration and troubleshooting when downloads, package installations, or Git operations cannot connect.

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• Retrying a failed Git clone through a proxy
• Installing packages when pip or npm cannot connect
• Troubleshooting download timeouts and DNS failures

Build Telegram bots, Mini Apps that run inside Telegram, and custom clients using implementation examples. The guide covers message handling, interactive buttons, payments, authentication, storage, and receiving updates through webhooks or long polling.

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• Building a bot that replies to messages
• Adding interactive buttons and inline search
• Creating Mini Apps with storage and payments

Turn scattered formulas and theory notes into a derivation that can be checked step by step. Keep definitions and assumptions consistent, distinguish exact identities from approximations, and make hidden conditions and limits explicit.

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• Organize scattered formulas and theory notes
• Trace the steps behind an algebraic identity
• State conditions and error orders for approximations

Shape broad mathematical interests into precise research questions. Search prior work on definitions and theorems, record traceable sources, map supporting and conflicting evidence, and identify gaps that could lead to testable conjectures.

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• Tracing a theorem’s variants and related work
• Checking prior work on an integer sequence
• Defining search terms and the scope of a research question

Provides a reference for reviewing DeFi smart contracts, programs that manage blockchain transactions. It organizes vulnerability types with causes, code examples, search patterns, and fixes to help investigate accounting, permissions, boundary conditions, and pricing logic.

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• Checking for accounting inconsistencies and missing permission checks
• Comparing normal and alternative code paths
• Reviewing deadline and array boundary conditions

Clarify the next step in a mathematical research task by identifying what is blocking progress. Select one specialist skill for discovery, derivation, computation, proof, or formal verification, with required inputs and clear stopping conditions.

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• Decide where to start with an open mathematical question
• Find the next step when papers, formulas, and code are mixed
• Choose between derivation, computation, proof, and formalization

Examine a DeFi yield aggregator, a protocol that collects investment returns, for missing role assignments and failures caused by tiny rewards. Includes a ten-category review, reproducible test templates, and vulnerability report drafts.

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• Checking reward contracts for missing role assignments
• Investigating harvest failures caused by tiny rewards
• Preparing vulnerability reproduction tests and reports

Audit Solidity contracts in Foundry projects before deployment using code analysis, randomized tests, manual review, and private key checks. Produces a JSON report with findings, remediation, test coverage, and a pass or fail deployment decision.

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• Auditing Solidity contracts before deployment
• Adding fuzz and invariant tests for contracts that move funds
• Reviewing private key storage and deployment scripts

Prepare a Web3 bug bounty investigation by scoring targets, setting up analysis tools, reviewing past audits, and tracing how funds move. Use the findings to prioritize smart contracts and assess whether suspected issues have concrete impacts.

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• Choose a protocol for a bug bounty investigation
• Prepare build, test, and static analysis tools
• Map fund flows and prioritize contract reviews