“frameworks”的搜索结果

Retrieve current documentation and code examples from Context7 for libraries, frameworks, and developer tools. Use the results to answer questions about API syntax, configuration, installation, version migration, and library-specific problems.

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• Checking current API syntax
• Finding setup and configuration examples
• Investigating version migration issues

Create product demos, explainers, and social clips by choosing among AI footage, virtual presenters, code-based video templates, and editing tools. The skill guides scripts, visuals, captions, reusable production workflows, and exports suited to the target platform.

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• Creating a product demo with screen recordings and captions
• Producing an explainer with an AI presenter
• Generating multiple social clips from one template

Design and evaluate how an AI agent remembers user preferences and history across conversations. Compare storage formats and memory frameworks, plan updates and compression, and distinguish personal memory from shared document retrieval while addressing sensitive information.

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• Design user memory that persists across conversations
• Compare storage formats, Mem0, and Memobase
• Evaluate recall and cross-conversation reasoning

Design and build Apify integrations for workflow platforms, AI agents, AI frameworks, or applications. Follow guidance for authentication, asynchronous cloud task execution, result retrieval, spending limits, error handling, testing, and release preparation.

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• Adding Apify actions to a workflow automation platform
• Building an Apify plugin for an AI agent
• Connecting an AI framework package to Apify

Plan and carry out a migration from AngularJS to Angular. It covers gradual migration with both frameworks running together, component and service conversion, routing and form changes, plus testing and preparation for the final switch.

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• Choose a strategy for migrating an AngularJS application
• Run AngularJS and Angular together during migration
• Convert controllers, directives, and services

Find autonomous AI agents, frameworks, and tools through AgentFolio. Compare their capabilities, intended users, integrations, and deployment options to shortlist existing products or gather examples and ideas before designing an agent of your own.

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• Finding existing agents before building your own
• Shortlisting agent vendors for evaluation
• Researching competitors and market gaps

Turn identified threats and business needs into specific, testable security requirements. Define priorities, explain the rationale, and develop security user stories, acceptance criteria, and test cases linked to the risks they address.

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• Turn threat models into security requirements
• Write security user stories and acceptance criteria
• Develop security test cases

Design backtests that evaluate trading strategies against historical data. Account for trading costs, avoid using future information or excluding delisted securities, and compare strategies using separate development and evaluation periods.

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• Build a backtesting system for trading strategies
• Check for bias in historical performance estimates
• Compare strategies after accounting for trading costs

Evaluate LLM applications using automated scores, human reviews, and model-based judging. Build repeatable checks to compare models or prompts, assess answer quality, and detect declines in performance before deployment.

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• Comparing models and prompts
• Checking quality after prompt changes
• Detecting performance declines before deployment

Design or refactor backend services with clear layers and dependency rules. Using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design, it separates business logic from databases and frameworks and defines interfaces that support testing without external services.

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• Designing the structure of a new backend service
• Separating business logic from database and HTTP code
• Resolving circular dependencies between layers

Build data quality checks with Great Expectations, dbt tests, and data contracts, which define shared expectations between teams. Check missing values, duplicates, and freshness, then integrate validation into data pipelines and CI/CD.

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• Check data for missing values and duplicates
• Build a dbt test suite
• Define shared data contracts between teams

Structure a post-acquisition improvement plan linking revenue, cost, and operational initiatives to EBITDA, a profit measure. Produce a roadmap with 100-day priorities, performance targets, responsible owners, and an Excel model showing each initiative’s profit contribution.

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• Planning the first 100 days after an acquisition
• Mapping growth and cost initiatives to profit targets
• Preparing a value creation roadmap for the board

Prepare a one-page briefing before a company's quarterly earnings report. Gather market estimates, rank key metrics, and outline optimistic, baseline, and pessimistic scenarios, including the developments that could influence the stock's reaction.

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• Preparing a briefing before quarterly earnings
• Prioritizing company-specific metrics to watch
• Comparing optimistic, baseline, and pessimistic scenarios

Complete an existing financial model template by entering historical data and forecast assumptions, then linking the income statement, balance sheet, and cash flow statement with formulas. Check statement balances, cash consistency, and scenario behavior as each section is completed.

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• Complete a partially filled financial model
• Link forecasts across three financial statements
• Check balance sheet and cash flow consistency

Connect CommunityToolkit.Mvvm ViewModels to Microsoft.Extensions.DependencyInjection, which supplies their required services. Get guidance on startup setup, instance lifetimes, messaging, view integration, and replacing dependencies in tests across supported .NET user interface frameworks.

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• Set up dependency injection in a new XAML app
• Choose shared or per-page service instances
• Diagnose missing service registration errors

Design a partner program by defining value for your company, partners, and shared customers. Provides frameworks for partner tiers, phased pilots, joint marketing, and build-versus-partner decisions, with explicit measures for expanding or ending a partnership.

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• Designing partner tiers and support levels
• Deciding whether to build internally or partner
• Defining pilot metrics and expansion criteria

Plan how to sell AI products to enterprises, from product messaging and variable pricing to failure accountability. Use practical frameworks to structure demos, address operational concerns, and identify buyers prepared to adopt AI agents.

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• Choose how to describe an AI product
• Compare pricing models for variable AI usage
• Address responsibility for AI failures

Structure board meetings and investor updates around business progress, risks, and decisions. Use clear narrative frameworks, consistent metrics, and advance briefings to explain missed targets, present recovery plans, and make specific requests for support.

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• Prepare a board meeting agenda and advance reading materials
• Draft a monthly investor update
• Explain missed targets and recovery plans

Convert feature requirements and implementation plans into a test strategy, task checklist, and quality assurance plan for GitHub projects. Define test coverage, priorities, dependencies, estimates, and quality checkpoints using established testing and software quality frameworks.

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• Plan testing from feature requirements and implementation documents
• Break testing work into tasks for GitHub issue management
• Prioritize performance, security, and accessibility checks

Review an AI agent codebase against ten OWASP ASI security risk areas. Examine tool permissions, input validation, identity checks, audit logs, and other controls, then summarize coverage, gaps, and recommended improvements in a report.

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• Reviewing agent security before production deployment
• Mapping existing controls to ten security risk areas
• Preparing findings for a security review or audit

Review AI prompts for harmful output risks, bias, privacy concerns, security weaknesses, and clarity. Receive an assessment, a revised prompt, and suggested tests with explanations of the principles behind each improvement.

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• Review a prompt before putting it into use
• Check wording for stereotypes and bias
• Assess data exposure and prompt injection risks

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

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• Create project instructions for VS Code Copilot
• Refresh agent rules after project changes
• Split monorepo instructions by project area

Helps integrate CopilotKit into an app by consulting current documentation and source code. Covers chat interfaces, agent connections, shared state, and troubleshooting, with guidance on checking configuration and avoiding incompatible API versions.

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• Adding a CopilotKit chat interface to an app
• Connecting an agent framework
• Diagnosing runtime connection problems

Compare Chinese A-share sectors using business conditions, price trends, valuation, and fund flows. The skill provides scoring and ranking frameworks to organize sector allocation proposals and trace how demand or cost changes affect connected industries.

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• Compare business conditions across Chinese A-share sectors
• Rank sectors by price trends, earnings changes, and fund flows
• Trace cost and demand changes through industry supply chains