“get started”的搜索结果

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

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Guided setup and upgrade-check experience for Lattice projects -- scans the repository, detects existing configuration and outdated conventions, suggests refiners and available upgrades in priority order, and creates or reconciles the .lattice/ config. Bridges the gap between installing skills and getting first value, and between upgrading Lattice and adopting its newest conventions. Use when the user says 'lattice init', 'set up lattice', 'initialize lattice', 'get started with lattice', 'configure lattice for this project', 'check for lattice upgrades', or 'upgrade lattice conventions'.

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Orchestrates zero-to-running-app in 8 stages — prerequisites → context → provision → model → load → explore → query → build. Each stage reads its own reference file. Supports HITL and fully autonomous operation. Use when starting a new Neo4j project from scratch, provisioning Aura, generating synthetic data, building a notebook or app, or running the full onboarding pipeline. Time budget ≤15 min autonomous, ≤90 min HITL. Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or Cypher migration — use neo4j-migration-skill. Does NOT cover CLI/admin tasks on an existing DB — use neo4j-cli-tools-skill.

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Bootstrap Trigger.dev into an existing project from scratch: authenticate the CLI, install @trigger.dev/sdk and @trigger.dev/build, write trigger.config.ts with the project ref and task dirs, scaffold a /trigger directory with a first task, wire tsconfig and .gitignore, set TRIGGER_SECRET_KEY, and run the dev server. Load this when a project has no trigger.config.ts yet and the user asks to "add Trigger.dev", "set up Trigger.dev", "initialize Trigger.dev", or get a first task running, including in a monorepo. Once the project is set up and you are writing task code, switch to the trigger-authoring-tasks skill.

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Write a developer quickstart — minimal steps from zero to first successful API call. Use when asked to "write a quickstart", "get users from zero to first API call", or "write a getting started guide".

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This skill should be used when the user asks to "buy token", "sell token", "swap token", "trade crypto", "check trade status", "query transaction", "scan tokens", "feed", "monitor chain", "query token", "token details", "check token safety", "list wallets", "show wallets", "my wallets", "AI scan", "AI扫链", "auto scan", "smart scan", "tweet scan", "推文扫链", "twitter scan", "onboarding", "get started", "check IP", "get IP", "IP whitelist", "查IP", "IP白名单", "launch token", "create token", "发币", "创建代币", "auto sell", "stop loss", "take profit", "trailing stop", "止盈止损", "移动止损", "holders", "top holders", "kol holders", "insider", "持仓", "持仓列表", or mentions trading on Solana/ETH/BSC/Base chains via XXYY. Enables on-chain token trading and data queries through the XXYY Open API.

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Generate two complementary onboarding documents that together give any engineer — from newcomer to principal — a complete understanding of a codebase. Use when user asks for onboarding docs or getting-started guides, user runs /deep-wiki, or user wants to help new team members understand a codebase.

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Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

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Guide for installing Tinker, setting up the environment, getting an API key, and verifying everything works. Use when the user is getting started, setting up their environment, or troubleshooting installation issues.

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Audit and improve `/llms.txt`, a curated starting point for AI tools browsing documentation. Check its location, the usefulness and accessibility of linked pages, and its separation from existing crawl and indexing controls.

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• Audit llms.txt on a public documentation site
• Select useful API references and getting-started guides
• Check documentation links for availability

Coordinate a task from a verifiable goal through completion. Handle work directly or split independent tasks across separate agent sessions, track progress, verify results, and arrange pull request merging when included in the goal.

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• Split independent tasks across agents
• Check progress across ongoing tasks
• Resume a previously started project

Organize API documentation work from endpoint discovery to OpenAPI specifications, developer guides, and tested code examples. The workflow also covers interactive documentation, documentation sites, and maintenance, helping select the phases and supporting skills needed for a task.

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• Create an OpenAPI specification from an existing API
• Write getting-started and authentication guides
• Prepare and test API request examples

Manage tasks on an OpenViking kanban board, where each Markdown file contains the task and its handoff notes. Record decisions, verified progress, and next steps so another agent or person can resume the work.

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• Hand off ongoing work to another agent
• Resume a task using its recorded context
• Track task status and verification results

Create a browser board for daily tasks and numeric goals, then track progress alongside conversations with an AI partner. Includes focus mode, gentle task carryover, progress notes, and a recap you can save at the end of the day.

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• Plan a manageable set of tasks for today
• Track reading pages or completed work sessions
• Focus on one task when getting started feels difficult

Add Arize AX tracing to an LLM application, recording how model calls and tool executions connect. Inspect the existing code, select suitable integrations, add instrumentation, and verify that the application runs and traces reach Arize.

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• Setting up tracing for an LLM application
• Recording tool inputs and outputs in an agent
• Adding Arize export to an existing OpenTelemetry setup

Guides development with Neon, a managed Postgres database platform, using official documentation. Covers project setup, connection choices, local development, authentication, data APIs, and resource management through command-line tools and programming libraries.

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• Set up a Neon project and database connection
• Choose a connection method for serverless or edge functions
• Integrate Neon authentication and data APIs

Set up Curviate CLI, authenticate your machine, connect a LinkedIn account, and verify access by reading your profile live and from stored data. The guide also explains diagnostic results and common credential or account setup failures.

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• Installing and authenticating Curviate for the first time
• Investigating credential or account errors with curviate doctor
• Connecting LinkedIn and selecting the default account

Helps adapt LLMs to specific tasks with LLaMA-Factory, including training through a web interface and memory-saving methods such as QLoRA. Provides documentation references for learning features, implementing workflows, and investigating code problems.

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• Exploring LLM fine-tuning through a web interface
• Checking LoRA and QLoRA training options
• Investigating LLaMA-Factory implementation problems

Set up and troubleshoot a local agentmemory server by checking MCP connections, authentication, ports, and environment settings. Understand which optional memory features require additional configuration, model downloads, or token usage before enabling them.

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• Set up a local agentmemory connection
• Diagnose MCP connection failures
• Review authentication and custom ports

Build Table v9 tables in Angular using injectTable and FlexRender. Guidance covers signal-driven data updates, reusable table components, and connections to TanStack Query for data fetching and TanStack Virtual for displaying large tables.

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• Building a Table v9 table in Angular
• Reflecting signal-driven data changes in tables
• Sharing table settings and reusable UI components

Build and render Table v9 data tables in Lit using TableController and FlexRender. Follow the basic setup, keep table inputs stable, and find related guidance for reusable components, reactive state, and rendering only visible rows or columns.

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• Building a basic data table in Lit
• Rendering table headers and cells
• Sharing table conventions and reusable UI

Build and render Table v9 tables in Vue with guidance on keeping data updates reactive, reusing shared table components, and connecting TanStack Query for data fetching or TanStack Virtual for displaying large tables.

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• Building a Table v9 table in Vue
• Keeping tables in sync with changing data
• Reusing shared table components and settings

Create and render TanStack Table v9 tables in octane. The skill covers project configuration, column definitions, and rendering headers, rows, and cells, with guidance for sharing table features and reusable interface components.

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• Build a basic table in octane
• Render table headers, rows, and cells
• Configure Vite and TSRX for the adapter

Build and render tables with React Table v9, with guidance on stable data and column definitions. Find task-specific references for reusable components, Query data fetching, and virtualization, which limits rendering to visible rows or columns.

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• Building a basic React table
• Organizing reusable table components
• Connecting tables to Query data