tui-seam
무료TUI 첫-프레임 타이밍 리뷰: 마커 정직성 + 지연 seam 재현
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
200건 · 관련도순
TUI 첫-프레임 타이밍 리뷰: 마커 정직성 + 지연 seam 재현
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
コードを書く時の実装原則(既存パターンの踏襲・deep module 設計・seam・テスタビリティ・シーム限定 TDD・コメント規約・リーダブルコード)。プロダクションコードの差分を作る時に、規模を問わず使用(数行の修正も含む)。新しい module・関数・エンドポイント・画面の追加、DB への書き込み、認可・入力検証の追加、既存構造を変えるリファクタでは特に。CSS・HTML・テンプレート等のフロントエンド資産も対象。lint・CI 等の設定ファイルだけの変更では使わない。TypeScript/Python/Go の言語別ガイドを同梱。境界: バグ・エラーの原因調査は systematic-debugging が先、提出前の diff 確認は self-review。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
새 테스트와 기존 테스트가 보호하는 동작과 결함을 점검합니다. 중복과 구현 의존성을 검토하고 삭제 근거를 기록하며, 필요한 검증을 남겨 테스트 전용 코드도 정리합니다.
Create Claude skills with the required files and metadata, validate their structure, and package them as zip files. The skill also shares summaries and file links in designated Slack channels through Rube.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Generate sound effects and ambient audio from written descriptions using ElevenLabs. Create cinematic impacts, app notification sounds, or background textures, with controls for duration, seamless looping, and how closely the sound follows the description.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Design scene transitions and animated text using matched movement direction and speed across cuts. The catalog provides concrete settings for zooms, blur, word-by-word transitions, staggered entrances, and repositioning groups of elements.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Coordinate a research project from topic exploration to a final manuscript. The skill connects research, writing, integrity checks, review, and revision workflows, tracks deliverables, and records progress with user confirmation at stage boundaries.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Design modules that hide complex behavior behind a small, clear interface. Use shared design principles to review dependencies, choose where behavior can be swapped, and make code easier to test and maintain.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Connect CommunityToolkit.Mvvm ViewModels to Microsoft.Extensions.DependencyInjection, which supplies their required services. Get guidance on startup setup, instance lifetimes, messaging, view integration, and replacing dependencies in tests across supported .NET user interface frameworks.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prepare text for language models using HuggingFace Tokenizers, which splits text into model-readable units. Train custom vocabularies, process batches, track original text positions, and configure input lengths for use with transformers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Install or refresh OneCLI as NanoClaw’s gateway for credentials and approval events. The skill restores integration files and agent guidance, configures a local or remote gateway, and validates the setup using a pinned SDK and tests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Evaluate Vitest tests by the observable behavior and realistic regressions they protect. Guide new test authoring and review existing suites for duplication, dependence on implementation details, and code used only by tests, with evidence for retention or removal.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create Claude skills with the required files and metadata, validate their structure, and package them as zip files. The skill also shares summaries and file links in designated Slack channels through Rube.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Install or remove memU long-term memory for the agent in use. The skill selects the host-specific guide, configures scheduled memory recording and retrieval before answers, and verifies the setup with local or cloud storage.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prepare large text collections for AI models with fast tokenizers, which split text into model inputs. Train custom vocabularies, trace tokens to original text positions, adjust input lengths, and integrate the results with transformers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create thin laser beams that meet at a bright corner or edge junction, surrounded by soft haze. Adjust beam angles, accent colors, glow, and subtle motion to build a spatial composition for an interface.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build continuous scrolling rows for logos, testimonials, screenshots, or short tags. The skill explains how to duplicate content, stabilize item widths, soften edges, and accommodate people who prefer reduced motion.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Prepare detailed 3D materials that remain clear in close-up views. The skill guides texture resolution, physically based material maps, surface mapping, filtering, and progressive loading while checking download size and GPU memory use.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build sky backgrounds for 3D scenes using procedural atmosphere or panoramic images. Align the horizon, sun, shadows, and environment lighting, while handling camera movement, image loading, and smooth transitions between day, dusk, and night.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Add, repair, and strengthen tests for existing code using the project's testing framework. Covers regression cases, boundary conditions, flaky tests, and coverage gaps, with validation that links requested behaviors to specific tests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Replace C# static calls for time, files, or environment values with existing abstractions that tests can substitute. Update construction and affected tests within a defined scope, while preserving read counts, evaluation order, date-time semantics, and existing static callers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Explicit-only last resort. Draws game art from code, with no image model - pixel sprites from a PixelSpec, flat vector props, UI and icons from portable SVG, rigged characters with planted feet, FX with a JS runtime, seam-proven autotiles, playable top-down layouts with collision, stylized parallax and ambient plate motion - palette-exact, with QA and review sheets. Use only when the user explicitly asks for code-drawn art, or when generate2dmedia route_media.py finds no image or video route (no-route, exit 3). Never the default - image generation (generate2dsprite, generate2dmap, video2dsprite) comes first for characters, props, maps and FX. Not for painterly, detailed or likeness art, HD-2D plates or realistic fire, smoke or water. Always disclose the result as code-drawn.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Gate new or changed tests, and audit existing tests for low value, implementation coupling, duplication, and the test-only production seams they keep alive. Use when writing, changing, reviewing, or sweeping tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.