'framework' 검색 결과

Create agent skills for Microsoft technologies by researching official documentation and code samples. Package essential knowledge and examples locally, with instructions for looking up detailed or version-specific information through Microsoft Learn tools or the mslearn CLI.

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• Create an agent skill for Azure tasks
• Package .NET library usage into a skill
• Organize framework conventions and code examples

Compare two versions of a project and turn migration patterns into instructions for GitHub Copilot. Document API replacements, new conventions, obsolete patterns, and validation steps so future code changes follow the same approach.

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• Documenting framework version upgrades
• Creating rules for replacing a technology
• Preserving conventions after architectural refactoring

Build web apps connecting a CopilotKit React interface to agents hosted in Microsoft Foundry. Covers AG-UI, the communication protocol between them, plus tool approvals, conversation history, shared state, deployment, debugging, and dependency upgrades.

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• Build a chat interface for a Foundry hosted agent
• Add approval screens for agent tool execution
• Investigate failures across the agent and web interface

Creates software documentation using Diátaxis, a framework that separates learning, task instructions, reference information, and explanation. Clarifies the audience, goal, and scope, then proposes an outline before writing Markdown content consistent with existing documentation.

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• Writing a practical tutorial for newcomers
• Creating a guide to solve a specific problem
• Organizing technical details into reference documentation

Provides prompts for assessing and planning .NET upgrades across multiple projects. Helps identify compatibility issues, order migration work, propose code and build pipeline changes, and prepare testing checklists, review guidance, and release documentation.

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• Assessing project structure and dependency compatibility
• Planning an incremental upgrade with rollback checkpoints
• Reviewing deprecated APIs and NuGet package replacements

Review AWS infrastructure code and deployed resources against the six Well-Architected pillars. Produce risk-ranked findings, remediation examples, and an architecture diagram, then create GitHub issues for tracking improvements after user confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review AWS infrastructure code and deployed resources
• Prioritize findings by risk
• Prepare infrastructure code remediation examples

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

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

Assess REST, GraphQL, and gRPC APIs for authentication, access control, input validation, and business logic weaknesses. Use OWASP API Security Top 10, a framework of common API risks, to organize testing and document findings with reproduction steps and remediation.

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• Comparing API access across user roles
• Checking token handling and request rate limits
• Assessing GraphQL access control and data exposure

Build Splunk pipelines that import threat intelligence and match security events against indicators such as malicious IP addresses, domains, and file hashes. Add source, confidence, and severity details so analysts have context when investigating matches.

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• Importing external threat feeds into Splunk
• Matching network and endpoint logs against threat indicators
• Adding threat and asset context to alerts

Turn threat intelligence and detection gaps into testable investigation hypotheses. Use endpoint monitoring and security log queries to examine evidence, validate findings, connect related activity, and document risks and recommended actions in a consistent hunt report.

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• Planning a hunt based on threat intelligence
• Investigating gaps in ATT&CK coverage
• Testing hypotheses prompted by unusual activity

Search Windows PowerShell logs for traces of Empire, a framework used after a system is compromised. Identify characteristic launch commands, encoded code, module calls, and communication paths, then report suspicious events with timelines and severity scores.

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• Investigating suspected Empire activity
• Checking encoded commands and communication paths
• Building detection rules from Empire indicators

Map intrusion evidence to the seven stages of the Lockheed Martin Cyber Kill Chain, a model of attack progression. Show where defenses worked or missed activity, and recommend prioritized controls that could interrupt attacks earlier.

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• Mapping attack progression after an incident
• Finding detection gaps at each attack stage
• Planning layered defenses to stop attacks earlier

Plan technology strategy and engineering team growth with frameworks for technical debt, hiring, architecture decisions, and vendor evaluation. Use Python tools and decision templates to prioritize improvements, structure teams, and track engineering performance.

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• Prioritizing technical debt reduction
• Planning hiring and engineering team structure
• Comparing technologies and vendors

Build LlamaIndex applications that retrieve relevant material before generating answers, a method called RAG. Connect documents, websites, and databases to support document questions, conversational search, structured summaries, and checks of answer relevance and source consistency.

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• Building question answering over internal documents
• Creating a chatbot that remembers the conversation
• Searching information across files, websites, and databases

Automatically retrieves current library and framework documentation through the Context7 API during Claude Code conversations. Use it when asking about tools such as React, Next.js, or Prisma and needing up-to-date reference material.

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• Retrieve current React documentation during a conversation
• Consult Next.js documentation in Claude Code
• Fetch Prisma reference material when asking questions

Organize PyTorch training code with LightningModule and Trainer. Follow examples for validation, logging, model saving, and distributed training across multiple GPUs, with callbacks that add monitoring or stop training when progress stalls.

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• Converting an existing PyTorch training loop
• Adding validation, logs, and model checkpoints
• Configuring training across multiple GPUs

Audit deployed Vercel projects for cost and performance improvements using production metrics. Examines usage, settings, and relevant code, then produces ranked recommendations supported by verified files and documentation matching the framework version.

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• Investigate Vercel usage and cost drivers
• Find routes with measured performance problems
• Assess caching opportunities using traffic data

Organizes compliance work and audit preparation by tracking controls, responsible people, evidence, and deadlines. Produces status dashboards, gap analyses, audit checklists, and evidence collection plans for frameworks such as SOC 2 and ISO 27001.

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• Preparing a checklist for an upcoming audit
• Comparing current practices with framework requirements
• Organizing evidence owners and collection dates

Build, edit, or debug backend AI agents with eve, a framework that represents agents as directories of files. Work on instructions, tools, connections, schedules, and related components using documentation bundled with the installed version.

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• Create a backend AI agent with eve
• Update agent instructions, tools, and connections
• Debug schedules and subagent configurations

Build visual AI systems that detect objects or divide images into labeled regions. This skill guides dataset preparation, model selection, training, evaluation, inference optimization, and deployment using frameworks such as PyTorch and Ultralytics.

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• Build an object detection pipeline
• Clean images and convert annotation formats
• Optimize a trained model for deployment

Helps founders and first-time CEOs review delegation, calendar use, energy, and leadership blind spots. Provides frameworks and reflection questions for adapting their role as the company grows, addressing burnout concerns, and preparing others to take over responsibilities.

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• Choosing which tasks and decisions to delegate
• Reviewing a CEO's calendar and sources of exhaustion
• Reassessing leadership responsibilities as the company grows

Plan hiring around business needs, estimate staffing costs, and develop salary bands, equity frameworks, and organizational structures. Use people metrics to examine retention and performance, producing practical proposals for growing companies and their HR leaders.

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• Building hiring plans with timing and cost estimates
• Designing salary bands and equity compensation
• Reviewing team structures and management layers

Check that functions, methods, and imports exist in the software version being used before writing code. Identify uncertain calls, framework mix-ups, and deprecated interfaces so implementation decisions rely on verified details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking functions against an installed library version
• Avoiding API mix-ups between frameworks
• Verifying package import paths before coding