184건 · 관련도순
Build and maintain one coherent company story across employees, investors, customers, candidates, and partners. Use when preparing all-hands meetings, investor updates, board presentations, recruiting narratives, or crisis communications.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a criterion-referenced rubric with descriptive performance levels for a task or objective. Use for marking guides and general curriculum contexts. For Manning programmes where Competent = success, use coherent-rubric-logic-builder instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate, derive, optimize, and diagnose structured AI image prompts for luminous cinematic Eastern xianxia environments under one inherited master canon with measurable divine scale, fixed five-layer space, 40–60% content-bearing breathing air, monumental Eastern architecture, railing-free edges, and coherent immortals and costume. Cover one-location scenic landmarks, immense inhabited celestial realms, cloud-borne palace cities, high-key Eastern sky-megastructure imagery, and the explicit `仙界大境原典` creative route. Use for Chinese fantasy scenery, places where immortals live, heavenly capitals, colossal celestial gates, architectural fragments above cloud seas, measurable divine scale, unusual framing, color and lighting direction, style-preserving variants, prompt rewrites, diagnosis, or direct image generation. Support 16:9, 21:9, 4:3, 3:2, 4:5, and 9:16; default to 16:9 for one prompt and never infer a nine-image series from a vertical ratio.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Formulate coherent product strategy, synthesize opportunity frames and falsifiable hypotheses, establish non-goals and trade-offs, and bind decisions to verified strategic authority. (triggers: `product strategy decision`, `product opportunity framing`)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prioritize outcome-based product roadmaps, manage capacity and displaced work trade-offs, sequence learning milestones, and maintain portfolio coherence without dual ledgers or fake ROI. (triggers: `product roadmap prioritization`, `product portfolio trade-off`)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and implement game HUDs, menus, icons and portrait systems from visual proposals through reusable engine assets and input checks. Use when a game interface needs a coherent visual and behavior contract.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create cinematic movie poster concepts and final poster images from a user's brief, existing video plan, storyboard, character design, or project context. Use this skill whenever the user asks to generate a film poster, movie poster, key art, campaign poster, teaser poster, title poster, or promotional visual for a video project. This skill proposes several creative directions first when appropriate, defaults to a 3:4 poster ratio when no ratio is specified, and ensures typography, title treatment, imagery, genre, setting, and story tone are coherent and visually inventive.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Logic coherence pass for per-H3 section files: enforce a clear paragraph-1 thesis and surface paragraph-island risks (connector stats are diagnostic, not a quota) before merging.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Global consistency review for survey drafts: terminology, cross-section coherence, and scope/citation hygiene.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit-style editing pass for `output/DRAFT.md`: remove template boilerplate, improve coherence, and enforce citation anchoring.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Builds a product strategy and stress-tests your moat, then writes a one-page strategy doc (diagnosis, where to play, how to win, guiding policy, coherent actions, moat verdicts). Use for 'we need a product strategy', 'is our moat real', 'do we have a competitive advantage', 'where should we play', 'defensibility', 'should we expand into X', 'our roadmap has no strategy', or 'write a product vision'. Draws on 909 insights from 236 Lenny's Podcast guests incl. Roger Martin, Richard Rumelt and Hamilton Helmer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate a coherent, whole-paper mathematical modeling solution framework from a complete contest problem. Use after the user supplies a CUMCM or other modeling problem and asks for modeling ideas, an overall solution plan, question-by-question analysis, candidate-model comparison, model-selection reasons, innovations, validation, or cross-question linkage. For every question, explain the task and mathematical essence, compare multiple feasible models in tables, recommend a route with explicit reasons, and keep all questions connected through shared data, variables, parameters, constraints, and validation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn Chinese classical poems and ci into coherent vertical Chinese-art videos with poem-driven scene grouping, GPT ImageGen stills, Docker-only Gemini I2V, retained model-generated ambience, Gemini sparkle-watermark cleanup, brush-calligraphy captions revealed character by character, optional local BGM mixing, stitching, and final-frame QA. Supports verse-driven variation across ink landscape, gongbi bird-and-flower, colored figure-and-horse painting, blue-green landscape, xuan paper, silk, and related Chinese visual languages. Use when users ask for 古诗词动态视频、诗词逐句或两句一景、国风视频、毛笔字逐字出现、整首诗拼接成片，or want the established 月落乌啼霜满天 workflow applied to another poem.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reconstruct and report long-running or multi-turn research, architecture questions, reviews, decisions, completion results, and status as a clear, self-contained brief. Use when a reader must re-enter earlier context, understand the real question and its relationships, distinguish verified facts from judgment and open evidence, or make a decision without reconstructing the work log. Quote the relevant original user wording before substantive analysis, keep one coherent main line, use spatial diagrams when relationships matter, and finish with an explicit decision boundary and practical next step.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write model-native Seedance 2.0 video prompts from text, images, video, or audio references. Use for text/image generation, multimodal reference, video editing, extension, track fill, or combined tasks that need stable subjects, explicit asset roles, coherent event order, camera, sound, visible text, and a 4–15 second feasibility check.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conduct a structured literature review on a given topic by defining a search strategy, applying inclusion and exclusion criteria, extracting key findings, and synthesizing results into a coherent academic review. Use when the user requests literature review or provides relevant inputs for this workflow.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.