'ai-powered' 검색 결과

Review Git changes with the ocr command-line tool and a configured AI model. Get line-level findings grouped by severity for working changes, commits, or branch comparisons, with code fixes applied when explicitly requested.

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• Reviewing changes before a commit
• Checking a pull request or branch comparison
• Inspecting a specific commit for issues

Plan and explain Lakehouse solutions in Microsoft Fabric, a place to manage tables and files together. Understand data organization, links to data without copying, access controls, and table maintenance options for designing and improving a solution.

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• Writing an introduction to Fabric Lakehouse
• Planning how to organize tables and files
• Reviewing data links and access controls

Set up and manage AlloyDB for PostgreSQL clusters, instances, and backups. Includes guidance for MCP integration, a way for agents to operate databases, plus references for application connections, Terraform, authentication, and AI search capabilities.

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• Create an AlloyDB cluster and primary instance
• Manage AlloyDB backups
• Automate database operations through MCP

Guide the design of AI product features with output validation, responses displayed as they arrive, prompt versioning, and testing. Address API costs, failures, and unsafe input when preparing language model integrations for production.

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• Reviewing AI features before production release
• Designing validation for AI-generated output
• Managing prompt versions and regression tests

Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.

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• Adding text generation or structured output to a Go app
• Building a chatbot that retains conversation state
• Connecting model responses to tool calls

Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.

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• Build a chatbot that keeps conversation history
• Implement streaming responses and tool calls
• Investigate Genkit import and API errors

Build AI applications with Genkit in Node.js and TypeScript, including conversational agents, generation workflows, and tools. Use documentation, type checks, and execution traces—records of model inputs and tool calls—to verify behavior and troubleshoot errors.

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• Set up a new Genkit project
• Build a conversational agent with persistent sessions
• Manage prompts in separate .prompt files

Use Gemini to discover research papers through related problems and alternative terminology. Results are organized into a table with publication details, code links, and short summaries, with filters for year, venue, and available code.

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• Discover papers beyond an exact keyword match
• Find research papers with open-source code
• Find papers from selected years or venues

Search blogs, documentation, news, and research papers with Exa, retrieving highlights, full text, or summaries alongside results. Filter by date or domain, or use a URL to discover similar pages.

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• Search beyond academic databases
• Collect page text or summaries with search results
• Find pages similar to a known URL

Choose and configure AI tools for Web3 security work across web applications, APIs, and Solidity contracts. Follow setup examples for reconnaissance, vulnerability validation, and proof-of-concept generation, then combine automated findings with manual review.

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• Choosing AI tools for a security testing target
• Automating web application and API reconnaissance
• Preparing Solidity checks and proof-of-concept code

Draft and revise blog posts, ads, emails, and social captions to fit the audience, platform, and brand voice. Get publication-ready copy or distinct alternatives with different hooks, angles, and structures for comparison.

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• Drafting a blog post for a specific audience
• Writing a product launch email
• Creating social captions in a consistent brand voice

Assess a website’s readiness for AI search alongside traditional SEO. Review content citation readiness, crawler access, brand mentions, technical foundations, and structured data, then generate scores, prioritized recommendations, and client reports.

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• Audit a website’s readiness for AI search
• Assess a page’s suitability for AI citation
• Check AI crawler access and generate llms.txt

Get documentation-based help with deepsec, an AI vulnerability scanner. Initialize or resume setup, configure scans and model credentials, and create detection rules or plugins using the documentation bundled with the installed version.

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• Initializing deepsec and resuming interrupted setup
• Configuring scans, models, and credentials
• Creating or customizing vulnerability detection rules

Run an AI vulnerability scan on uncommitted changes, changes against main, or an entire codebase. Filter candidate files, investigate potential security issues, and review findings with severity ratings, with options to revalidate and export results.

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• Checking uncommitted changes for vulnerabilities
• Reviewing security issues in changes against main
• Scanning an existing codebase

Handles credentials before Codex builds or runs tools that use the OpenAI API. Checks for an existing key without revealing it, asks whether to reuse or create one, and saves credentials only to a confirmed local destination.

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• Check credentials before building an OpenAI-powered app
• Choose whether to reuse an existing key or create one
• Create and save an API key through the secure connector

Plan UGC campaigns, ads built around user-style content, from creator recruitment and production briefs to AI video variations. Organize organic testing, paid promotion, and creative refreshes for TikTok, Meta, and YouTube Shorts.

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• Recruiting creators for product videos
• Writing a short video production brief
• Planning AI-generated ad variations

Plan AI-assisted SEO, from keyword research and competitor comparison pages to content production using data and templates. It also guides content changes for AI search citations, tool selection, quality checks, and ongoing performance tracking.

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• Planning competitor alternative and comparison pages
• Designing page production using data and templates
• Reviewing content for citations in AI Overviews

Plan AI-assisted ad creative production, testing, budget allocation, and measurement across advertising platforms. It provides workflows for comparing messages, adapting assets to each channel, and refreshing ads when repeated exposure starts to reduce performance.

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• Planning AI-assisted ad image and video production
• Testing opening hooks, narratives, and calls to action
• Refreshing ads as repeated exposure reduces performance

Plan personalized sales emails to prospects you have not contacted before. This skill covers prospect selection, contact research, email drafts, follow-up sequences, inbox delivery, and reply handling, with guidance on tools and campaign improvements.

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• Drafting personalized sales emails for new prospects
• Planning a sequence of emails and follow-ups
• Investigating low reply rates or spam placement

Research a topic through BrowserAct web searches and organize findings into a report with source references. Filters for search engine, date range, content type, and result count help focus supplemental research and gather information from multiple sources.

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• Finding supplemental sources when direct web access fails
• Researching recent industry or market news
• Comparing facts and statistics across sources

Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.

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• Add AI chat to an application
• Build an agent that calls external tools
• Build answers using retrieved documents

Save decisions, research findings, and work updates to Obsidian, then update related notes, daily entries, and task boards. Maintain existing pages, preserve changing facts with their history, and check for duplicates and broken links.

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• Save decisions and tasks from a conversation
• Connect development logs to project notes
• Check a vault for duplicates and broken links

Review GitHub pull requests, or proposed code changes, with specialized agents covering security, performance, architecture, and style. Generate actionable comments, apply quality thresholds, and coordinate automated review workflows.

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• Review authentication changes for security issues
• Assess performance impacts of database changes
• Check UI accessibility and coding conventions

Use Perplexity to find web sources, get cited research summaries, explore complex decisions, or investigate a topic in depth. Separate modes support quick questions, ranked search results, combined answers, and comprehensive research.

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• Find recent sources on a topic
• Combine multiple sources into a cited answer
• Compare options for a complex decision