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brainstorming

This skill should be used before implementing features, building components, or making changes. It guides exploring user intent, approaches, and design decisions before planning. Triggers on "let's brainstorm", "help me think through", "what should we build", "explore approaches", ambiguous feature requests, or when the user's request has multiple valid interpretations that need clarification.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=ratacat-claude-skills-skills-brainstorming-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
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name brainstorming description This skill should be used before implementing features, building components, or making changes. It guides exploring user intent, approaches, and design decisions before planning. Triggers on "let's brainstorm", "help me think through", "what should we build", "explore approaches", ambiguous feature requests, or when the user's request has multiple valid interpretations that need clarification. Brainstorming This skill provides detailed process knowledge for effective brainstorming sessions that clarify WHAT to build before diving into HOW to build it. When to Use This Skill Brainstorming is valuable when: Requirements are unclear or ambiguous Multiple approaches could solve the problem Trade-offs need to be explored with the user The user hasn't fully articulated what they want The feature scope needs refinement Brainstorming can be skipped when: Requirements are explicit and detailed The user knows exactly what they want The task is a straightforward bug fix or well-defined change Core Process Phase 0: Assess Requirement Clarity Before diving into questions, assess whether brainstorming is needed. Signals that requirements are clear: User provided specific acceptance criteria User referenced existing patterns to follow User described exact behavior expected Scope is constrained and well-defined Signals that brainstorming is needed: User used vague terms ("make it better", "add something like") Multiple reasonable interpretations exist Trade-offs haven't been discussed User seems unsure about the approach If requirements are clear, suggest: "Your requirements seem clear. Consider proceeding directly to planning or implementation." Phase 1: Understand the Idea Ask questions one at a time to understand the user's intent. Avoid overwhelming with multiple questions. Question Techniques: Prefer multiple choice when natural options exist Good: "Should the notification be: (a) email only, (b) in-app only, or (c) both?" Avoid: "How should users be notified?" Start broad, then narrow First: What is the core purpose? Then: Who are the users? Finally: What constraints exist? Validate assumptions explicitly "I'm assuming users will be logged in. Is that correct?" Ask about success criteria early "How will you know this feature is working well?" Key Topics to Explore: Topic Example Questions Purpose What problem does this solve? What's the motivation? Users Who uses this? What's their context? Constraints Any technical limitations? Timeline? Dependencies? Success How will you measure success? What's the happy path? Edge Cases What shouldn't happen? Any error states to consider? Existing Patterns Are there similar features in the codebase to follow? Exit Condition: Continue until the idea is clear OR user says "proceed" or "let's move on" Phase 2: Explore Approaches After understanding the idea, propose 2-3 concrete approaches. Structure for Each Approach: ### Approach A: [Name] [2-3 sentence description] **Pros:** - [Benefit 1] - [Benefit 2] **Cons:** - [Drawback 1] - [Drawback 2] **Best when:** [Circumstances where this approach shines] Guidelines: Lead with a recommendation and explain why Be honest about trade-offs Consider YAGNI—simpler is usually better Reference codebase patterns when relevant Phase 3: Capture the Design Summarize key decisions in a structured format. Design Doc Structure: --- date: YYYY-MM-DD topic: < kebab-case-topic > --- # < Topic Title > ## What We're Building [Concise description—1-2 paragraphs max] ## Why This Approach [Brief explanation of approaches considered and why this one was chosen] ## Key Decisions - [Decision 1]: [Rationale] - [Decision 2]: [Rationale] ## Open Questions - [Any unresolved questions for the planning phase] ## Next Steps → `/workflows:plan` for implementation details Output Location: docs/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md Phase 4: Handoff Present clear options for what to do next: Proceed to planning → Run /workflows:plan Refine further → Continue exploring the design Done for now → User will return later YAGNI Principles During brainstorming, actively resist complexity: Don't design for hypothetical future requirements Choose the simplest approach that solves the stated problem Prefer boring, proven patterns over clever solutions Ask "Do we really need this?" when complexity emerges Defer decisions that don't need to be made now Incremental Validation Keep sections short—200-300 words maximum. After each section of output, pause to validate understanding: "Does this match what you had in mind?" "Any adjustments before we continue?" "Is this the direction you want to go?" This prevents wasted effort on misaligned designs. Anti-Patterns to Avoid Anti-Pattern Better Approach Asking 5 questions at once Ask one at a time Jumping to implementation details Stay focused on WHAT, not HOW Proposing overly complex solutions Start simple, add complexity only if needed Ignoring existing codebase patterns Research what exists first Making assumptions without validating State assumptions explicitly and confirm Creating lengthy design documents Keep it concise—details go in the plan Integration with Planning Brainstorming answers WHAT to build: Requirements and acceptance criteria Chosen approach and rationale Key decisions and trade-offs Planning answers HOW to build it: Implementation steps and file changes Technical details and code patterns Testing strategy and verification When brainstorm output exists, /workflows:plan should detect it and use it as input, skipping its own idea refinement phase.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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