'code generation' 검색 결과

Create spreadsheets, diagrams, and PDF reports in a staged workflow. Allocate execution attempts across deliverables, check generated files, and use simpler methods or alternative formats when tool errors or limited remaining attempts interrupt progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a comparison spreadsheet, diagram, and report
• Allocating execution attempts across several deliverables
• Recovering from file generation errors with fallback methods

Generate PDF documents when sandbox execution fails with unclear errors. Check available Python libraries, switch to direct shell execution, and verify the resulting file while collecting error details to help diagnose problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating a PDF after sandbox execution fails
• Checking PDF libraries and choosing an alternative
• Verifying generated PDFs and investigating errors

Create a related Excel workbook, PNG diagram, and PDF report in one workflow. It allocates execution attempts across stages, checks output files, and provides retries or simpler versions when generation encounters errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a comparison table, diagram, and report together
• Creating a PDF that references spreadsheet findings and diagrams
• Allocating execution attempts across several output formats

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Explore and configure an Nx monorepo, where multiple projects share one repository. Inspect resolved project settings, identify projects affected by changes, and improve project boundaries, build caching, and CI/CD pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring applications and shared libraries in an Nx workspace
• Checking which projects a change affects
• Configuring project boundaries and build caching

Plan personalized video outreach for prospective customers, from useful sample deliverables and short scripts to tool selection and follow-up sequences. Use viewing data to guide next steps and design product demos prospects can watch independently.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add personalized videos to cold outreach
• Choose video tools for sales volume and budget
• Plan recorded demos prospects can watch independently

Compare ways to distribute AI inference across multiple instances, including replicas and separate input-processing and generation stages. Estimate capacity, throughput, delays, state-transfer costs, and recovery overhead to support routing and scaling decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare replicas with separate inference stages
• Plan routing around compute capacity and cached state
• Evaluate expert placement and load imbalance

Create the starting files for a new agent skill, including SKILL.md, metadata, and optional folders. It guides descriptions that help agents select the skill, actionable workflows, ownership entries, and validation checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new agent skill from scratch
• Writing descriptions that help agents select the right skill
• Organizing SKILL.md and supporting files

Make specific C# behavior testable by adding a minimal way to replace time, randomness, or other external dependencies. Preserve public APIs and production behavior, then run repeatable tests without real file access or waiting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing deadlines and delays with controlled time
• Testing file operations without touching real files
• Testing random or environment-dependent behavior

Turn papers and thesis materials into Chinese-first Word reports and PowerPoint presentations. Create editable files, preserve source evidence, match supplied templates, add speaker notes, and check layouts for overflow, overlap, and readability.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a paper into a Chinese reading report
• Prepare slides for a lab meeting or thesis defense
• Adapt research content to a supplied slide template

Turn plain-language questions into SQL for SQLite and PostgreSQL using database structure as context. Review queries against 13 optimization rules and interpret execution plans, which show how the database retrieves data, to investigate slow queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning plain-language questions into SQL
• Investigating slow queries
• Checking index usage

An early-stage framework for documenting an existing product’s design and architecture. Command parsing, output setup, and metadata generation are implemented; extracting colors, components, APIs, and architecture remains in progress or planned.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan documentation for an undocumented application
• Define output formats for colors and spacing
• Plan component and API inventories

Run a build-and-evaluation pipeline from a natural-language specification. Generate scenarios, implement the project, test scenarios withheld during implementation, and report scores against a target with failures and suggested next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating a project from a natural-language specification
• Evaluating implementation with withheld scenarios
• Checking scores against a specification target

Build testable scientific hypotheses from observations or preliminary data. Compare competing explanations against published evidence, define measurable predictions, and propose experiments, then organize the findings into a research report with diagrams and detailed supporting material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop testable hypotheses from preliminary observations
• Compare competing explanations using published research
• Plan experiments that distinguish between hypotheses

Improve vllm-mlx performance through research, small experiments, and benchmarks on real models. The skill records results, keeps changes that improve measured performance, and carries successful work through implementation, testing, review, and pull request creation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reducing the time before a model starts responding
• Improving token generation speed
• Exploring memory and cache optimizations

Implement and troubleshoot storage recovery with DOCA Erasure Coding. The skill guides parity generation, lost-block recovery, and incremental parity updates using Reed-Solomon coding, while checking device capabilities, block limits, and memory permissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover missing data or parity blocks
• Update parity after one data block changes
• Check device support for a storage layout

Deploy a free VLESS proxy/VPN node on Cloudflare Pages using edgetunnel. Automates code download, UUID generation, Pages deployment, free domain registration (DNSExit), DNS configuration, custom domain binding, and client setup for Shadowrocket/v2rayN/Clash. Uses Cloudflare Pages (not Workers) because Pages supports CNAME-based custom domains from any DNS provider, avoiding the need to host DNS on Cloudflare.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Collect Anima SDK debug evidence for support tickets and troubleshooting. Use when filing Anima support requests, debugging code generation issues, or collecting diagnostic data for the Anima team. Trigger with: "anima debug bundle", "anima support ticket", "anima diagnostics".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

REST API design with resource naming, pagination, versioning, and OpenAPI spec generation

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guide for ingesting the latest OpenAI TypeSpec specification into the openai-dotnet SDK. Use this when asked to update or ingest OpenAI API specs, copy base TypeSpec files from upstream, fix client TSP compile errors, or run code generation for new API areas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Miaoda App Builder - create web apps, WeChat mini-programs, games, AI tools, SaaS products, and dashboards through natural language conversations. Full workflow from code generation to deployment.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Maintain and match against a library of classic dynamic programming patterns. Provides pattern matching, template code generation, variant detection, and problem-to-pattern mapping for DP problems.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.