Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or "how to create good evaluation data." Outputs datasets in OpenJudge-compatible format.
日本語の概要は準備中です。原文の説明を表示しています。
agentscope-ai/OpenJudge☆ 8732026年9月11日 更新
Design game concepts from a novel. From SOURCE_BIBLE and PRODUCT_BRIEF, compare meaningful alternatives on the dimensions still unlocked, then select a playable direction using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book, decide whether this novel should become an interactive story. 小说游戏概念设计。根据 SOURCE_BIBLE 与 PRODUCT_BRIEF 比较未锁定维度上的有效替代方案,用硬否决和关键取舍选择可玩方向。用于判断小说适合做成什么游戏、该不该做成互动叙事、比较游戏方案等需求。
日本語の概要は準備中です。原文の説明を表示しています。
zenstory-ai/novel-to-game☆ 8522026年10月3日 更新
Analyse text complexity across quantitative, qualitative, and reader-task dimensions with scaffolding recommendations. Use when selecting texts, assessing readability, or planning reading support.
日本語の概要は準備中です。原文の説明を表示しています。
GarethManning/education-agent-skills☆ 8512026年8月29日 更新
Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing listings, find keyword gaps, score across 8 dimensions, and rewrite with missing keywords. Integrates with amazon-keyword-research for keyword input. Works on 12 Amazon marketplaces. No API key required. Use when: (1) creating a new Amazon listing from keywords, (2) auditing an existing listing for SEO and conversion, (3) checking keyword coverage in title/bullets/description, (4) generating listing copy with target keywords and tone, (5) comparing listings against competitors, (6) preparing a listing for launch or relaunch.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/Amazon-Skills☆ 7582026年8月26日 更新
5-dimension scorecard (0-100, grade A/B/C/F) for a scaffolded harness. Dimensions: Repo understanding (25%), Agent usefulness (25%), MCP safety (20%), Test coverage (15%), Publish readiness (15%). Emits a 6-field badges block (score + mcpRisk + 4 booleans) ready for the harness README. Exit 0 A/B, 1 C, 2 F.
日本語の概要は準備中です。原文の説明を表示しています。
ruvnet/metaharness☆ 6992026年10月13日 更新
Aircraft seat maps, cabin dimensions, and seat recommendations via SeatMaps.com and AeroLOPA. Search by flight number or airline+aircraft via agent-browser.
日本語の概要は準備中です。原文の説明を表示しています。
borski/travel-hacking-toolkit☆ 6932026年10月12日 更新
Review dimensions and scoring for root cause analysis quality assessment
日本語の概要は準備中です。原文の説明を表示しています。
nWave-ai/nWave☆ 6162026年9月16日 更新
Quality dimensions and review checklist for devop reviews
日本語の概要は準備中です。原文の説明を表示しています。
nWave-ai/nWave☆ 6162026年9月16日 更新
Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress
日本語の概要は準備中です。原文の説明を表示しています。
nWave-ai/nWave☆ 6162026年9月16日 更新
Review dimensions and bug patterns for journey artifact reviews
日本語の概要は準備中です。原文の説明を表示しています。
nWave-ai/nWave☆ 6162026年9月16日 更新
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
日本語の概要は準備中です。原文の説明を表示しています。
nWave-ai/nWave☆ 6162026年9月16日 更新
Use when ONE static image needs a full brief for a designer or photographer — visual objective, concept and mood, composition, overlay copy, colors and fonts read from the brand guideline, per-channel dimensions, deliverables, and approval criteria. Trigger on 'image brief', 'banner brief', 'thumbnail brief', 'brief for the designer', 'how should this graphic look', 'the design came back wrong again'. Also use when the user has a post idea and needs to explain the visual. Not for — a multi-slide sequence, see `43-carousel-brief-global`; tool-level production steps in Canva or Figma, see `45-design-tool-brief-global`; generating the image with AI, see `30-design-master-global`; an urgent same-day swap, see `48-quick-visual-brief-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Use when a campaign needs its full design asset list before anyone opens a tool — asset type, dimensions, channel, quantity, priority, owner, deadline, and status, with deadlines counted backward from launch day on a T-14 to D+1 timeline plus a naming convention. Trigger on 'campaign asset list', 'what does the designer need', 'list the design files', 'creative asset plan', 'how many banners do we need', 'the designer keeps asking what to make'. Not for — the spec for one individual image, see `42-image-brief-global`; a slide sequence, see `43-carousel-brief-global`; an urgent mid-campaign swap, see `48-quick-visual-brief-global`; resizing an existing master, see `50-asset-resize-global`.
日本語の概要は準備中です。原文の説明を表示しています。
minhnv0807/ai-business-skills☆ 6132026年9月12日 更新
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
日本語の概要は準備中です。原文の説明を表示しています。
ECNU-ICALK/AutoSkill☆ 5982026年5月10日 更新
Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui). Shared archaeology/audit → fix → verify → generalize → discover → persist skeleton with mode-specific dimensions. User-invoked campaign entry; single-step fixes route via /maestro-next
日本語の概要は準備中です。原文の説明を表示しています。
catlog22/maestro-flow☆ 5662026年10月8日 更新
Screenshot comparison QA for frontend development. Takes a screenshot of the current implementation, scores it across multiple visual dimensions, and returns a structured PASS/REVISE/FAIL verdict with concrete fixes. Use when implementing UI from a design reference or verifying visual correctness.
日本語の概要は準備中です。原文の説明を表示しています。
vibeeval/vibecosystem☆ 5332026年8月9日 更新
Self-evolving skill system. Skills are scored after execution (0-100) on 5 dimensions. Score 90+ over 5 runs = crystallized (locked). Score below 30 = auto-repair attempted. Skills improve themselves through usage feedback.
日本語の概要は準備中です。原文の説明を表示しています。
vibeeval/vibecosystem☆ 5332026年8月9日 更新
Build structured semantic layer documentation for metrics, dimensions, and entities. Activate when you need to define a business metric, document a data model, or create YAML definitions compatible with dbt Semantic Layer or similar frameworks.
日本語の概要は準備中です。原文の説明を表示しています。
nimrodfisher/data-analytics-skills☆ 4732026年9月25日 更新
Downsamples, resizes, and compresses images using Volcengine LAS with multiple interpolation methods (lanczos, bilinear, nearest). Image resizing, image scaling, and image compression — reduces image resolution, dimensions, and file size. Changes and adjusts DPI settings. Converts between image formats including JPEG, PNG, TIFF. Generates thumbnails and optimizes images for web or print. Supports batch resize for photos and images up to 100MB and 225 megapixels. Note: downscale only, does not upscale. Use this skill when the user wants to resize or downscale images, compress images to reduce file size, change image format (JPEG/PNG/TIFF), adjust image DPI, generate image thumbnails, optimize images for web/print, or batch process multiple images.
日本語の概要は準備中です。原文の説明を表示しています。
bytedance/agentkit-samples☆ 4712026年10月12日 更新
Lens — Add a cognitive lens to any problem. It accepts a task description and produces an enhanced description that surfaces hidden dimensions, prerequisites, and lines of inquiry—the things you do not know you do not know. Use when the user asks to brainstorm, analyze, generate a skill, distill, or fuse, or when the input is too simple and needs to be expanded.
日本語の概要は準備中です。原文の説明を表示しています。
agentsope/SkillAlchemy☆ 4442026年10月9日 更新
App Store and Google Play screenshot creation with exact platform specs. Covers iOS/Android dimensions, gallery ordering, device mockups, and preview videos. Use for: app store optimization, ASO, app screenshots, app preview, play store listing. Triggers: app store screenshots, aso, app store optimization, play store screenshots, app preview, app listing, ios screenshots, android screenshots, app store images, app mockup, device mockup, app gallery, store listing
日本語の概要は準備中です。原文の説明を表示しています。
aiskillstore/marketplace☆ 4322026年10月13日 更新
YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image
日本語の概要は準備中です。原文の説明を表示しています。
aiskillstore/marketplace☆ 4322026年10月13日 更新
Video ad creation with exact platform-specific specs for TikTok, Instagram, YouTube, Facebook, LinkedIn. Covers dimensions, duration limits, AIDA framework, and caption requirements. Use for: video ads, social media ads, paid media creative, video marketing, ad production. Triggers: video ad, social media ad, tiktok ad, instagram ad, youtube ad, facebook ad, linkedin ad, video creative, ad specs, paid media, video marketing, ad production, reels ad, stories ad, pre roll, bumper ad
日本語の概要は準備中です。原文の説明を表示しています。
aiskillstore/marketplace☆ 4322026年10月13日 更新
Clean a local FF&E CSV schedule by normalizing casing, dimensions, units, language, materials, and formatting. Use when asked to clean, fix, or standardize product data.
日本語の概要は準備中です。原文の説明を表示しています。
AlpacaLabsLLC/skills-for-architects☆ 3772026年10月6日 更新