'example' 검색 결과

Design autonomous agents for Claude Code plugins, including when they should run, what tools they may use, and how they should respond. Provides configuration templates, prompt guidance, and validation steps for creating agent files.

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• Create a code review agent
• Refine examples that trigger an agent
• Limit the tools an agent can use

Turn API code into documentation covering endpoints, inputs, authentication, responses, and errors. Add request examples in multiple languages and usage guides to help developers understand and start using the API.

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• Writing documentation for a new API
• Updating API documentation after code changes
• Preparing API guides for new developers or external users

Design and refine prompts for LLM applications by organizing roles, context, instructions, constraints, and output formats. Develop representative examples, manage the information supplied to the model, and evaluate changes to improve how consistently responses match expectations.

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• Structuring a system prompt for an LLM application
• Specifying response formats and constraints
• Creating examples that include edge cases

Design and refine prompts for language model applications. Choose useful examples, create reusable templates and system instructions, and compare prompt variations using accuracy, consistency, response time, and token usage to guide improvements.

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• Refine prompts that produce inconsistent answers
• Create reusable templates with variables and conditions
• Select relevant input-output examples for a task

Find current official documentation for OpenAI products and APIs, then get concise guidance with source citations. Use it to check implementation approaches, model capabilities, and limits, with code examples grounded in the documentation.

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• Check how to implement features with Responses API
• Look up Codex usage
• Explore how to build ChatGPT apps with Apps SDK

Design tools that AI agents can understand and call correctly. Covers JSON Schema, a format for defining inputs, along with clear descriptions, input examples, validation, and error responses that help agents recover from failures.

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• Designing inputs for an AI agent tool
• Improving tool descriptions and input examples
• Reviewing validation and error responses

Keep TypeScript and Python SDKs consistent when shared behavior or backend APIs change. Aligns public API names, use of generated clients, and documentation examples, including updates to the fixed versions of generated clients.

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• Align a change across both SDKs
• Compare TypeScript and Python behavior
• Update fixed versions of generated clients

Review local code changes with git diff and update the matching pages under docs/. Keep commands, settings, examples, and navigation aligned with current behavior so readers can understand the changes without reading the code.

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• Documenting uncommitted feature changes
• Updating setup instructions after a refactor
• Replacing outdated commands and configuration examples

Compare repository documentation with current code, tests, and settings to find missing, incorrect, or outdated guidance. Update affected pages, prioritize problems that block readers, and check examples and navigation for consistency.

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• Find outdated setup instructions
• Document existing features that lack guidance
• Check settings and command examples against code

Turns recurring workflows and proven debugging solutions into reusable skill packages. It creates SKILL.md, a readable overview, and optional supporting examples from a user description or saved project memory, with checks for completeness and portability.

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• Saving a debugging solution as a reusable skill
• Packaging recurring workflows for other projects
• Turning saved project knowledge into documented procedures

Set up Playwright, a browser testing tool, for an existing web project. Generate configuration, test folders, an example test, and applicable CI automation, then run the test and address setup failures.

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• Adding browser tests to an existing web project
• Configuring tests for the project's framework
• Running browser tests automatically in CI

Build and troubleshoot ChatGPT apps with an MCP server that exposes tools and an optional interactive widget. Use current official documentation and examples to create scaffolds, configure security settings, and guide local validation and deployment when requested.

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• Create a ChatGPT app scaffold from an official example
• Design tools and connect an MCP server to a widget
• Refactor or troubleshoot an existing Apps SDK app

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

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

Develop and modify the Handsontable Angular wrapper with guidance on component lifecycle, settings updates, and NgZone, which controls change detection. It also covers standalone examples, global configuration, and the build and test workflow.

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• Fix settings updates in the Angular wrapper
• Review change detection around grid operations
• Update examples to standalone components

Turn selected research conversations or notes into themes supported by evidence and counterexamples. Distinguish observed behavior from preferences and hypotheses, assess confidence, and suggest a small next experiment with an observable measure of success.

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• Finding recurring themes across research interviews
• Comparing evidence, counterexamples, and confidence
• Planning a small experiment to test findings

Reviews Google Cloud spending and resource usage to identify waste, recommend suitable resource sizes, compare discount options, and establish ongoing cost management using the cost optimization guidance in the Google Cloud Well-Architected Framework.

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• Reviewing Google Cloud spending by team or project
• Finding idle resources and oversized instances
• Comparing CUDs, SUDs, and Spot VMs

Set up credentials and a development environment for your first Google Ads API request to retrieve campaigns. Choose from six official client libraries or direct HTTP requests, with guidance for account IDs, developer tokens, and common authorization errors.

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• Prepare credentials for a first Google Ads API integration
• Build an example that retrieves advertising campaigns
• Choose a client library or direct REST requests

Helps design and evaluate prompts for more reliable AI responses. Covers clear instructions, input-output examples, task breakdown, and structured formats such as JSON, with guidance on comparing quality, cost, and response time across models.

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• Clarify ambiguous instructions for an AI task
• Specify JSON output using schemas and examples
• Break complex tasks into connected prompts

Review mathematical proofs in LaTeX for logical gaps, missing assumptions, and unjustified steps. Attempt counterexamples, develop explicit repairs, and repeat the review, producing an audit report that distinguishes completed fixes from assumptions and unresolved proof obligations.

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• Checking theorem assumptions and logical dependencies
• Finding counterexamples to key lemmas
• Repairing missing derivations in LaTeX proofs

Check mathematical expressions, solve equations, and search bounded ranges for counterexamples using symbolic and numerical libraries. Record assumptions, commands, and results so calculations can be repeated, while keeping computational evidence distinct from general mathematical proof.

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• Checking identities and integrals with exact arithmetic
• Searching a defined range for counterexamples
• Cross-checking numerical results at higher precision

Helps write and review mathematical proofs in natural language. It clarifies assumptions, maps dependencies between claims and lemmas, checks counterexamples and edge cases, and produces a traceable draft that identifies unresolved gaps or necessary changes to the statement.

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• Filling gaps in a mathematical proof draft
• Mapping dependencies between claims and lemmas
• Searching for counterexamples and edge cases

Build reusable Claude Skills from documentation, APIs, code, and specifications. Organize instructions and reference files, define clear activation conditions, add reproducible examples, and check new or existing skills against a delivery checklist.

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• Creating a skill from documentation, code, or specifications
• Reorganizing an overly long SKILL.md
• Clarifying when a skill should activate

Draft internal communications using guidelines for each message type. The skill covers team updates, company newsletters, FAQ answers, and other reports, guiding the agent on format, tone, and gathering the information needed for the draft.

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• Writing team updates on progress, plans, and problems
• Drafting a company newsletter
• Preparing answers to internal FAQs