'structure' 검색 결과

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Reduce LLM weight usage through pruning, which removes selected model parameters. Explore Wanda and SparseGPT for compression without retraining, choose hardware-friendly patterns for faster inference, and compare the compressed model's accuracy with the original.

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• Compressing an LLM without retraining
• Comparing pruning methods
• Exploring faster inference on supported hardware

Generate page and component folder structures with a command, keeping related files together by feature. Create tabbed page shells, starter tests, and README files, and register page routes within the supplied frontend structure.

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• Starting a page with a consistent folder structure
• Creating a page shell with multiple tabs
• Adding components within a feature

Plan team structure and hiring by defining needed roles, headcount, timing, and costs. Produce text-based org charts and prioritized hiring roadmaps, and identify structural risks such as excessive management overhead or dependence on one person.

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• Plan required roles, headcount, and hiring dates
• Review reporting lines and team boundaries
• Set priorities and sequence upcoming hires

Combine code from local directories or GitHub into one structured file for AI analysis. Examine project structure, search for related code, and check estimated tokens, the units AI models use to process text.

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• Preparing a single codebase file for AI analysis
• Reviewing a project's directory structure
• Finding authentication code and database models

Explore local or remote repositories with Repomix CLI to understand their structure, locate related code across files, and review file counts and estimated tokens, the units AI models use to process text.

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• Understanding an unfamiliar project's structure
• Locating authentication code and API endpoints
• Checking file counts and estimated AI tokens

Design AWS infrastructure around application needs, traffic, budget, and team experience. Generate templates that define infrastructure as code, compare service choices and estimated costs, and guide deployment, monitoring, and cost reduction.

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• Designing a serverless backend for an MVP
• Planning AWS infrastructure for a growing SaaS
• Generating CloudFormation infrastructure templates

Assess startup engineering operations across delivery, hiring, team structure, and production practices. Use delivery metrics, hiring conversion rates, and staffing data to identify bottlenecks, estimate candidate needs, and plan management roles and operational improvements.

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• Find where development work waits before release
• Estimate candidate volume needed for hiring goals
• Review team structure and manager hiring needs

Trace application behavior and explain data structures using compact text tree diagrams. The diagrams connect user actions to real functions, data types, state changes, and the components that render again as a result.

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• Tracing what happens after a user action
• Investigating why a component renders again
• Mapping data structures and their consumers

Structure problem solving around clear goals, competing explanations, experiments, and measurable results. Use the cycle to diagnose bugs, validate features, compare prompts, or evaluate an early product, then choose the next step based on evidence.

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• Diagnosing a bug with a quick investigation
• Comparing prompt structures through experiments
• Defining success criteria for a feature

Turn a rough invention idea into a structured disclosure for patent preparation. Organize the technical problem, mechanism, and benefits, distinguish essential and optional features, and plan claims—the scope of protection sought—and supporting drawings.

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• Turning a rough invention idea into a disclosure
• Separating core features from supporting features
• Planning claim dependencies and supporting drawings

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

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• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Build Apache Spark pipelines for large datasets, including transformations, aggregations, and streaming analysis. Get PySpark or Scala code, partitioning strategies for dividing data across workers, and configuration advice to investigate slow jobs and resource usage.

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• Build a pipeline to transform and aggregate large datasets
• Investigate slow Spark jobs and uneven data distribution
• Tune memory settings and data partitions

Build infrastructure as code with Terraform across AWS, Azure, and GCP. Create reusable modules, manage state records that track resources, configure environments and providers, and validate proposed changes before applying an explicitly approved plan.

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• Creating reusable Terraform modules
• Migrating state storage or importing existing resources
• Managing settings across development and production

Review code and infrastructure for vulnerabilities, insecure dependencies, and exposed credentials. Combine automated scans with manual review to produce audit reports that identify affected locations, rate severity, and prioritize practical fixes.

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• Reviewing code for security vulnerabilities
• Checking dependencies and exposed credentials
• Auditing cloud and infrastructure security

Create Dockerfiles, automated build and deployment pipelines, Kubernetes configurations, and infrastructure templates. The skill also prepares deployment checks, rollback procedures, and incident response runbooks to support application releases and production operations.

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• Setting up automated build and deployment pipelines
• Packaging applications with Docker
• Managing Kubernetes and cloud infrastructure as code

Classify failures in CI, automated checks run during development, to distinguish code regressions, temporary infrastructure problems, security test failures, and inconsistent results. Record each failure's category, suggested next action, and attempt count in a structured report.

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• Sort failed CI checks by likely cause
• Identify small regressions that may qualify for automatic fixes
• Refer infrastructure and security failures to a human

Audit website structured data, the markup that describes businesses and content to machines. Detect errors and missing details, then generate JSON-LD code and a report with recommendations for improving AI readability.

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• Audit structured data on a company website
• Generate markup for products, articles, or local businesses
• Review links connecting official profiles

Create editable draw.io diagrams from descriptions, code, infrastructure settings, or database schemas. Update existing diagrams while preserving manual layout, check their structure and architecture rules, and export them to image or document formats for sharing.

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• Turn a written description into an editable diagram
• Generate architecture diagrams from code or infrastructure settings
• Update a diagram while preserving manual layout

Review Facebook and Instagram ads through a read-only audit of measurement, creative, audiences, placements, budgets, and account structure. Receive prioritized recommendations that account for missing evidence and distinguish account, Pixel, and conversion history.

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• Checking Meta Pixel and conversion measurement
• Reviewing Facebook and Instagram ad creative
• Assessing a new account or Pixel with limited history

Builds and improves C/C++ and Rust fuzzing harnesses, the entry points that feed generated test data into code. Helps structure inputs, reach more code paths, and address crashes caused by inconsistent test behavior.

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• Writing a first fuzzing harness
• Building structured inputs for an API
• Investigating crashes that cannot be reproduced

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

Predict structures of protein, nucleic acid, and small-molecule complexes with ESMFold2, using single sequences or aligned related sequences. The skill also covers ESMC models for numerical sequence representations, mutation scoring, and predictions of contacts between residues.

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• Predicting complex structures from single sequences
• Assessing designed binders with ESMFold2-Fast
• Predicting structures using aligned related sequences