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Found 127 Skills
Generate 5 creative, cost-effective marketing ideas with channels, messaging, and engagement rationale. Use when brainstorming marketing campaigns, planning product promotion, or looking for creative marketing tactics.
Use when the user wants to use Google Gemini for analysis, large files or codebases, sandbox execution, or brainstorming. Uses headless Gemini CLI scripts (no MCP). Triggers on "use Gemini", "analyze with Gemini", "large file", "sandbox", "brainstorm with Gemini".
This skill should be used when the user asks to "ideate on", "brainstorm an idea", "let's argue this through", "challenge my thinking", "help me refine this concept", "let's stress-test this", or needs a structured framework for collaborative idea generation, adversarial refinement, and convergence toward the best possible solution. Load this skill before running any ideation or brainstorming session.
Use this skill when the user needs help with personal writing — either starting a new piece from scratch (inspiration/brainstorming) or reviewing and polishing an existing article (proofreading/editing). Invoke immediately when: the user shares an article and asks for feedback, wants to improve their writing style, feels stuck on what to write, wants help structuring a travel piece/TIL note/personal essay, or asks to review Chinese writing quality. Trigger phrases: 帮我改文章, 检查一下, 润色, 校对, 不知道写什么, 帮我构思, 写游记, 记录 TIL, 写点什么. NOT for diary writing (use diary-assistant) or formal business communications.
Multi-model consensus council for validation, research, and brainstorming. Spawns parallel judges with configurable perspectives and optional explorer sub-agents using runtime-native backends (Codex sub-agents or Claude teams). Modes: validate, brainstorm, research. Triggers: council, validate, brainstorm, critique, research, analyze, multi-model, consensus.
Simulate an expert panel discussion on a topic. Suggests 3 relevant experts/personas based on context and has them debate approaches, trade-offs, and arrive at recommendations. Use when brainstorming, exploring design decisions, or wanting multiple expert perspectives on a problem.
Use when brainstorming feels stuck or generates obvious ideas, need to break creative patterns, working with limited resources (budget/time/tools/materials), want unconventional solutions, designing with specific limitations, user mentions "think outside the box", "we're stuck", "same old ideas", "tight constraints", "limited budget/time", or seeking innovation through limitation rather than abundance.
Plan Plus — Brainstorming-Enhanced PDCA Planning. Combines intent discovery from brainstorming methodology with bkit PDCA's structured planning. Produces higher-quality Plan documents by exploring user intent, comparing alternatives, and applying YAGNI review before document generation. Use proactively when user mentions planning with brainstorming, intent discovery, exploring alternatives, or wants a more thorough planning process. Triggers: plan-plus, plan plus, brainstorming plan, enhanced plan, deep plan, 플랜 플러스, 브레인스토밍, 기획, 의도 탐색, 대안 탐색, プランプラス, ブレインストーミング, 企画, 意図探索, 计划加强, 头脑风暴, 深度规划, 意图探索, plan mejorado, lluvia de ideas, planificación profunda, plan amélioré, remue-méninges, planification approfondie, erweiterter Plan, Brainstorming, vertiefte Planung, piano migliorato, brainstorming, pianificazione approfondita Do NOT use for: simple tasks that don't need planning, code-only changes.
Interactive brainstorming session, then optionally create a Project or capture knowledge
Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.
Invoke before any creative or architectural work — feature design, component creation, or behavioral changes. A streamlined brainstorming process optimized for fast, focused decision-making.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.