Refine an already working product frontend in a dedicated finishing pass, preserving its identity while improving hierarchy, components, copy and responsive behavior. Use after the core flow works or when the user asks for frontend polish; not for product ideation or a new visual direction.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.
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。
tradermonty/claude-trading-skills☆ 3,0002026年10月13日 更新
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for AI-citation SEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
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。
AgriciDaniel/claude-blog☆ 2,3742026年10月9日 更新
Converts an audited medical research gap into a complete, structured, gap-traceable study design. Always use this skill whenever a user already has one or more candidate research gaps and wants to transform them into an executable biomedical research plan rather than re-run broad topic ideation. Covers six gap-to-design patterns (evidence-completion, mechanism-resolution, cell-state/context-mapping, translation-bridge, causality-upgrade, population/stage-specific) and always outputs one recommended primary protocol, a gap-to-design dependency map, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and verified design-support literature rules. Never fabricate references. Preserve claim-evidence discipline and do not replace a topic-specific gap with a generic workflow.
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。
aipoch/medical-research-skills☆ 1,9482026年9月17日 更新
Generate structured research questions, testable hypotheses, and candidate empirical strategies from a topic, phenomenon, or dataset description. Use when user says "give me research ideas on X", "brainstorm questions about Y", "what could I study with this data?", "I'm looking for a paper idea on...", "generate hypotheses for...". One-shot generation, not multi-turn. For idea-refinement use `/interview-me`.
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。
pedrohcgs/claude-code-my-workflow☆ 1,6592026年9月28日 更新
Explore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.
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。
first-fluke/oh-my-agent☆ 1,3412026年10月13日 更新
Search academic literature and generate research hypotheses
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。
OpenRaiser/NanoResearch☆ 1,3412026年10月9日 更新
Use when a creative task has no direction yet: finding inspiration, exploring looks or styles, proposing concept directions to pick between, building a moodboard or reference board, doing visual research, mining existing assets for a style, or escaping generic AI-looking output. Also when a saved Scenario collection should drive a new batch as art direction. Keywords: inspiration, moodboard, references, art direction, style exploration, concepts, serendipity, ideation, surprise me.
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。
scenario-labs/skills☆ 9922026年10月13日 更新
Creative ideation with MDA analysis
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。
paperclipai/companies☆ 9202026年3月24日 更新
Generate high-potential viral title candidates for content across WeChat public account articles, X/Twitter posts, YouTube videos, Bilibili videos, and similar content platforms. Use when the user needs headline/title ideation, batch title generation, platform-specific title adaptation, title-library reuse, title selection, title scoring, or a reusable title workflow based on universal formulas plus separated platform methods such as 公众号, X, YouTube, and B站.
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。
kangarooking/kangarooking-skills☆ 6662026年9月7日 更新
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
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。
anthropics/life-sciences☆ 6192026年8月15日 更新
Lock an ideation run into a single-source-of-truth brainstorm brief (`output/trace/IDEA_BRIEF.md`) and a replayable multi-query plan (`queries.md`).
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。
WILLOSCAR/research-units-pipeline-skills☆ 5132026年10月5日 更新
Structured ideation methods: SCAMPER, Six Thinking Hats, Morphological Analysis, TRIZ, Biomimicry, plus more. Decision framework for picking methods by challenge type (stuck, improving, systematic exploration, contradiction). Use when generating research ideas or exploring interdisciplinary connections.
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。
jaechang-hits/SciAgent-Skills☆ 3782026年9月29日 更新
Structured hypothesis formulation: turn observations into testable hypotheses with predictions, propose mechanisms, design experiments. Follows the scientific method. Use scientific-brainstorming for open ideation; hypogenic for automated LLM hypothesis testing on datasets.
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。
jaechang-hits/SciAgent-Skills☆ 3782026年9月29日 更新
LLM-driven hypothesis generation/testing on tabular data. Three methods: HypoGeniC (data-driven), HypoRefine (literature+data), Union. Iterative refinement, Redis caching, multi-hypothesis inference. Manual: hypothesis-generation; ideation: scientific-brainstorming.
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。
jaechang-hits/SciAgent-Skills☆ 3782026年9月29日 更新
Applies the reasoning, principles, and mental models of Sebastian Thrun (robotics and self-driving cars pioneer, founder of Google X, Waymo, Udacity, Stanford University). Reach for this skill whenever Claude is asked to advise on hardware/software systems engineering, autonomous vehicles, moonshot ideation, probabilistic robotics (SLAM), or leading high-stakes engineering teams. Trigger this skill for discussions on democratizing education, regulating AI, transitioning from academic research to product development, or managing technical teams with empathy. Use it to shift focus from incremental component debates to end-to-end execution and audacious goals.
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。
K-Dense-AI/mimeo☆ 2832026年9月3日 更新
AI creative director with recursive self-assessment. Generates concepts using world-class methodologies (SIT, TRIZ, Lateral Thinking, bisociation), scores against 6 weighted criteria with Cannes/D&AD/HumanKind calibration, and recursively refines until the 9+ threshold is reached. Accepts briefs in any format — text, voice transcript, PDF, or raw notes. Use when the user asks to generate creative concepts, brainstorm campaign ideas, develop a Big Idea or campaign platform, evaluate or critique existing creative work, find consumer insights, or shares a brief for ideation — including activations, PR-stunts, brand utility, experiential, and non-advertising ideas. Calibrates against a library of 569 legendary campaigns (P01-P18 pattern map) to detect saturation and ensure originality. Do not use for media planning, production budgeting, brand identity/logo design, copywriting final drafts, or market research data collection.
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。
smixs/creative-director-skill☆ 2532026年8月8日 更新
Generate content ideas backed by real audience demand data from Reddit questions, YouTube search gaps, Twitter discussions, and web search trends. Identifies proven topics, underserved questions, and content formats that outperform in your niche.
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。
sandbaseai/sandbase-skills☆ 2042026年9月26日 更新
Full-spectrum product research pipeline. Runs competitive analysis, technology trend scouting, user feedback analysis, and feature ideation. Trigger on: research, competitive research, market research, feature discovery, what should we build next, technology trends, user feedback, app store reviews, GitHub issues analysis, competitive landscape, product strategy.
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。
skillmds/skillmd☆ 1982026年10月9日 更新
Elite brainstorming specialist for facilitated ideation sessions. Use when the user asks to talk to Carson or requests the Brainstorming Specialist.
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。
bmad-code-org/bmad-module-creative-intelligence-suite☆ 1942026年9月29日 更新
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
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。
Infrasity-Labs/dev-gtm-claude-skills☆ 1362026年6月29日 更新
Applies the reasoning, principles, and mental models of Sebastian Thrun (robotics and self-driving cars pioneer, founder of Google X, Waymo, Udacity, Stanford University). Reach for this skill whenever Claude is asked to advise on hardware/software systems engineering, autonomous vehicles, moonshot ideation, probabilistic robotics (SLAM), or leading high-stakes engineering teams. Trigger this skill for discussions on democratizing education, regulating AI, transitioning from academic research to product development, or managing technical teams with empathy. Use it to shift focus from incremental component debates to end-to-end execution and audacious goals.
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。
K-Dense-AI/mimeographs☆ 1302026年8月19日 更新
Suede-affiliated marketing ideation using a structured tactic library scored for stage, audience fit, evidence, capacity, cost, and risk. Use when the user is stuck, wants options, or needs a shortlist of growth tactics before committing to a plan. NOT FOR: a comprehensive roadmap (use suede-marketing-plan), channel execution (use the relevant public Suede skill), or unattended recurring workflows (use suede-marketing-loops).
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。
JasonColapietro/suede-creator-skills☆ 1272026年10月12日 更新
Suede-affiliated recurring marketing workflow design for cadence, inputs, decision rules, checkpoints, failure states, and measurable outputs. Use when the user wants repeatable ad-fatigue, content-refresh, churn-watch, ranking-drop, or weekly-review loops. NOT FOR: one-off tactic ideation (use suede-marketing-ideas), experiment design (use suede-ab-testing), or creating a live automation without explicit scheduling authority.
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。
JasonColapietro/suede-creator-skills☆ 1272026年10月12日 更新