'code generation' 검색 결과

Extract text/tables, create, merge, split PDFs. Fill PDF forms programmatically. Use for PDF processing, generation, form filling, document analysis, batch operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, edit, analyze .pptx PowerPoint files. Use for presentations, slides, layouts, speaker notes, template modification, content extraction, slide generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A curated marketing stack guide for SaaS startups — tools, channels, and metrics organized by growth stage. Know exactly which tools to adopt and when. By @WeiYipei.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Marketing playbook for bootstrapped startups with zero budget. Covers organic-only channels including SEO, community building, social media, and word-of-mouth tactics that cost nothing but time. Follow @WeiYipei on X.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say "system prompt". Covers all use cases including chatbots, agentic systems, tool-use workflows, content generation, data extraction, code assistants, and multi-turn conversations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert guide for speculative multi-agent drafting, parallel hypothesis generation, AST-aware consensus arbitration, and multi-model code reconciliation / Panduan ahli penyusunan draf multi-agen spekulatif, generasi hipotesis paralel, arbitrase konsensus sadar-AST, dan rekonsiliasi kode multi-model.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Provides compliance, governance, and supply chain security guidance for cloud-native systems. Covers OPA Rego policies, Kyverno cluster policies, SBOM generation, SLSA provenance, audit trail design, and regulatory framework mapping. Use when user mentions 'compliance', 'governance', 'OPA', 'kyverno', 'SBOM', 'SLSA', 'audit', 'policy-as-code', 'SOC2', 'HIPAA', 'PCI-DSS', 'artifact signing'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

CatColab Decapodes - Discrete Exterior Calculus for PDE modeling on meshes via Decapodes.jl integration. Model physics equations compositionally with automatic code generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Designs the cognitive blueprint of an agent before code generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when modifying or reviewing Qwik Router code under packages/qwik-router, including runtime routing, buildtime route generation, middleware, adapters, SSG, markdown/MDX handling, or router tests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate multiple app, favicon, or website icon candidates with either the local QM Icon Studio CLI or Codex built-in image generation with reference icons, then present a contact sheet so the user can choose. Use when building websites or apps and needing reusable icon options.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a self-contained HTML changelog report showing recent documentation changes with interactive course generation buttons. Use this skill when the user asks for a docs changelog, documentation report, what changed recently, recent doc updates as a report, or runs `/docs --report`. Discovers changes via git history, categorizes them, summarizes what's new, and produces a stunning Obsidian & Amber themed HTML report where each entry has a "Create Course" button that copies the course command to clipboard.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use for .NET test design and validation with xUnit v3, Moq, focused regression tests, command tests, service/manager tests, code generation tests, Roslyn helper tests, MiniDb isolation, HTTP stubs, temp directories, and deciding whether to run targeted tests or builds.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when imp outputs differ between two paths that should agree - chunk sizes, prefill vs decode, prefix-cache resend, two engines (imp vs llama.cpp vs HF), two builds or kernels - "output changes with chunk size", "first token differs", "logprobs moved", "which layer diverges", "who is right, imp or llama.cpp", "near-tie". Do NOT use for repetition loops or garbage output (check-degeneration), a new arch that loads wrong (add-model-arch), or perf (benchmark-cuda).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides developers through a human-supervised PDCA framework for AI code generation. Applies analysis, TDD, validation, and retrospection. Activates for sessions requiring systematic quality control.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate Claude Code native Tasks from an existing spec. Use when user says "create tasks", "generate tasks from spec", "spec to tasks", "task generation", or wants to decompose a spec into implementation tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Entity Framework Core patterns for ASP.NET Core projects: DbContext design, code-first entity configuration (Fluent API via IEntityTypeConfiguration<T>), relations (HasOne/HasMany, cascade/restrict/set-null), indexes and unique constraints, projection to DTOs (Select + AsNoTracking), avoiding N+1 (Include, AsSplitQuery), transactions, parameterized raw SQL (FromSql with FormattableString), and connection string from IConfiguration. Works alongside aspnet-core-plugin:aspnet-conventions. Use this skill to: - Design a clean DbContext with ApplyConfigurationsFromAssembly for scalable entity registration. - Configure entity properties (column types, max length, precision, nullability) via Fluent API. - Avoid N+1 query problems with explicit Include / projection to DTOs. - Use transactions correctly for multi-entity operations. - Write parameterized raw SQL safely when LINQ is not expressive enough. Do NOT use this skill for: - Migration generation commands (that is efcore-specialist's job in the database extra phase). - ASP.NET Core middleware, DI, or validation — see aspnet-core-plugin:aspnet-conventions. - C# language idioms — see csharp-foundation:csharp-conventions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze pre-trained generative diffusion models (Stable Diffusion, DALL-E, Flux) by computing quality metrics (FID, IS, CLIP score, precision/recall), inspecting noise schedules, extracting and visualizing attention maps, and probing latent spaces. Use when evaluating a pre-trained generative diffusion model's output quality, comparing noise schedule variants, analyzing cross-attention patterns for text-conditioned generation, interpolating between latent codes, or detecting out-of-distribution inputs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add PUT workflow annotations to source files using the correct language-specific comment prefix. Covers annotation syntax, skeleton generation via put_generate(), multiline annotations, .internal variables, and validation. Supports 30+ languages with automatic comment prefix detection. Use after analyzing a codebase and having an annotation plan, when adding workflow documentation to new or existing source files, or when documenting data pipelines, ETL processes, or multi-step computations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", or "language tags".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when adding code generation with LLVM ORC or LLJIT, Cranelift, or dynasm, lazy compilation or inline caches, or fixing W^X faults. Not for AST-to-IR: use compiler-frontend.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when reading llc output, tracing IR through legalization and instruction selection, or scoping a new LLVM target. Not for IR-level passes: use llvm-ir-and-passes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when -O3 leaves a hot loop scalar, spills appear in assembly, or a PGO or BOLT deployment is planned or stalls. Not for machine lowering: use code-generation-and-backends.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a strict multi-iteration Reflex Loop with phases (PLAN, PRODUCE||PREPARE, EVALUATE, CRITIQUE, REFINE) to improve an artifact until quality gates pass or iteration limits are reached. Use when user asks for iterative refinement, quality-gated generation, or "generate -> critique -> refine" loops.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.