'generating' 검색 결과

Comprehensive documentation specialist covering API documentation, technical writing, design documentation, migration guides, and changelog generation. Use when creating OpenAPI/Swagger specs, generating SDKs, writing user guides, creating README files, documenting architecture, writing design specs, creating ADRs, writing migration guides, or generating changelogs from git commits. Handles versioning, examples, developer experience, and user-facing documentation.

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Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when an agent must make TwelveLabs do real video-understanding work: indexing footage, semantic/visual search across an archive, generating descriptions, summaries, chapters, highlights, and tags from video, producing multimodal embeddings, or wiring TwelveLabs into a media-production pipeline (NLE panels, logging, compliance review, metadata). Covers the current model families (Marengo for search/embeddings, Pegasus for video-to-text analysis), the v1.3 Video Understanding API (indexes, assets, tasks, search, analyze, embed), prompt construction for analysis, capability and format limits, pricing/quota math, output quality review (hallucination and timestamp accuracy), and privacy/rights obligations when footage shows real people. Not for generating or editing video pixels — this is analysis and retrieval.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply test quality principles when generating or reviewing test code. Enforces Arrange-Act-Assert structure, one behavior per test, assertion quality, test isolation, meaningful naming, and test data management. Use when writing tests, reviewing test code, or when the user mentions 'write tests', 'test this', 'test quality', 'test review', 'improve tests', or 'test structure'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual test cases -- not what to test (that is driven by the code being implemented) but how to write tests that are reliable, readable, and maintainable.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply clean code principles when generating or modifying implementation code. Enforces function focus, naming clarity, complexity management, error handling, and self-documenting style. Use when the user mentions 'clean code', 'code quality', 'coding guidelines', or 'implementation quality'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual code units -- not architecture (see architecture), not security posture (see secure-coding), not test structure (see test-quality), and not refactoring workflows (see refactor-safely).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Enforce architectural rules when generating or modifying code, and validate proposed designs before approval (design mode). Defaults to clean architecture; supports any architecture style via the architecture-refiner. Validates layer responsibilities, dependency direction, and structural constraints using the loaded architecture rules. Use when generating code, reviewing architecture, creating new files, or when the user mentions 'architecture', 'layers', 'structure', 'dependency rules', 'hexagonal architecture', 'ports and adapters', 'modular monolith', or 'onion architecture'. Also use when reviewing generated code for structural compliance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read and apply a project-specific BUILDING_SPEC.md or DIMENSIONS.md file before generating any architectural elements. Use when: generating floor plans, 3D buildings, or any spatial design where the project has defined custom dimensions, room requirements, or design standards.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate bookkeeping workflows by parsing bank statements (CSV/OFX/QIF), categorizing transactions using rules or AI, reconciling accounts, generating expense reports, and detecting duplicates. Use when: automating transaction categorization, building reconciliation pipelines, processing bank exports, or generating expense summaries without manual data entry.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

API Documentation Workflow workflow skill. Use this skill when the user needs API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

API Documentation Workflow workflow skill. Use this skill when the user needs API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Conjecture generation, sequence analysis, and experimental mathematics for mathematical discovery. Covers sequence analysis (OEIS lookups, recurrence relations, generating functions), pattern detection methods (finite differences, ratio analysis, modular patterns), conjecture generation workflow, classical integer sequences (Fibonacci, Catalan, partition numbers, Bernoulli numbers), combinatorial identities, the probabilistic method (Erdos, expected value arguments, Lovasz Local Lemma), AI-assisted discovery (FunSearch, Ramanujan Machine), and confidence calibration with cautionary tales (Mertens conjecture, Polya conjecture). Use when discovering patterns, analyzing sequences, generating conjectures, or working with combinatorial identities.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Compose 2D graphics programmatically using SVG generation, diagram layout algorithms, image compositing, and batch processing workflows. Use when generating diagrams, flowcharts, or infographics programmatically, creating reproducible scientific figures, automating production of badges or visual assets, building custom chart types not in standard libraries, or batch generating graphics with parameter variations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, generating new YARA-L 2.0 rules to close coverage gaps, and with user approval, deploy them to SecOps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Professional typography rules for UI design, web applications, software interfaces, and all screen-based text. Enforces timeless typographic correctness that LLMs consistently get wrong: proper quote marks, dashes, spacing, hierarchy, and layout. ENFORCEMENT MODE: When generating ANY HTML, CSS, React, JSX, or UI code containing visible text, auto-apply every rule in this skill silently — do not ask, do not explain, just produce correct typography. AUDIT MODE: When reviewing or improving existing interfaces or legacy code, flag violations and provide fixes. Trigger on: any HTML/CSS/React artifact creation, "build a landing page", "create a component", "design a UI", "fix the typography", "make this look professional", "review this layout", web design, presentation design, dashboard creation, document generation, or any task producing visible text for humans. Even if the user doesn't mention typography, apply these rules whenever generating UI output.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ネットワーク品質を総合的に診断し、ボトルネックの特定と根本原因の深堀りまで行うスキル。 接続情報、レイテンシ、ダウンロード速度、HTTP接続タイミング、経路解析を自動実行し、 品質閾値に基づく総合評価を日本語レポートとして出力する。 外部依存なし（OS標準ツールのみ使用）、macOSおよびLinux対応。 Use when diagnosing network quality, troubleshooting slow connections, identifying network bottlenecks, measuring latency/bandwidth/jitter, or generating network health reports. 「ネットワーク診断」「network diagnostics」「ネットワークが遅い」 「latency check」「bandwidth test」「traceroute analysis」

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

SoX（Sound eXchange）を使用した音声処理の専門スキル。音声ファイルの変換、編集、エフェクト適用を効率的に支援。フォーマット変換（WAV/MP3/FLAC/OGG/AIFF等）、音声編集（トリム、結合、分割、フェード）、エフェクト（ノイズ除去、ノーマライズ、EQ、リバーブ、コンプレッサー）、分析（soxi、stat、spectrogram）など幅広い操作をカバー。Use when converting audio formats, applying audio effects, trimming/splitting audio files, normalizing volume, removing noise, generating spectrograms, or processing audio for podcasts/music production.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Skill for generating 1C:Enterprise (BSL) code with mandatory validation through MCP tools to prevent hallucinations. Use when generating, editing, or validating 1C BSL code, working with 1C metadata, or answering questions about 1C platform API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Gemini CLI로 질문 답변, 글 생성, 파일 내용 요약을 단일 요청으로 수행합니다. 모델과 JSON 출력 형식을 지정하고 확장 기능 등의 관리 명령도 다룹니다.

• 메모 파일 요약
• 단일 요청으로 글 생성
• JSON 형식으로 답변 받기

AI 에이전트와 외부 도구를 잇는 MCP 서버를 명령으로 관리합니다. 서버 목록, 도구 입출력 규격, 연결 설정과 인증을 확인하고 도구를 호출합니다.

• MCP 도구와 인수 규격을 확인합니다
• MCP 연결을 설정하고 인증합니다
• JSON 인수로 도구를 호출합니다

Everything Claude Code의 스킬과 훅을 DeepSeek Harness에 연결합니다. 설정 생성, 동작 확인, 업데이트와 인식 문제 조사를 안내합니다.

• DSH에 ECC 스킬을 설치합니다
• 프로필에 훅을 연결합니다
• 스킬과 훅의 인식 문제를 조사합니다

AI 에이전트가 스킬과 규칙을 지키는지 세 단계의 지시 조건으로 검증합니다. 도구 호출 순서를 확인하고 시나리오별 준수율과 호출 시간선을 보고서로 정리합니다.

• 추가한 규칙의 준수 여부 확인
• 명시적 안내 없이 절차를 지키는지 확인
• 도구 실행 순서와 누락 확인

Java의 tinystruct로 터미널과 웹에서 함께 호출할 기능을 구현합니다. 시작 스크립트 생성부터 API, 데이터 저장, 테스트까지 개발 절차를 안내합니다.

• 터미널과 웹에서 사용할 기능 구현
• 누락된 시작 스크립트 생성
• JSON API와 데이터 저장 구현

여러 단계의 계획을 읽고 바로 붙여 넣을 ECC 명령을 생성합니다. 단계 식별자와 완료 조건을 포함하며, 작업 범위를 전달할 수 없는 명령은 보류로 표시합니다.

• 구현 계획을 명령으로 변환
• 기능 추가·수정·리팩터링 명령 선택
• 지정한 단계의 명령만 준비