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deep-discovery

Use when the user asks for deep discovery, 100-question brainstorming, idea interrogation, architecture stress testing, strategy vetting, weakness finding, hole-poking, exhaustive exploration, planning or auditing Codex plugins or skills, or pre-commitment review of a design, plan, strategy, architecture, product, business idea, trading system, or problem space.

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=forsonny-deep-discovery-skills-deep-discovery-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
.skill 文件中 system_prompt 字段的实际内容。
name deep-discovery description Use when the user asks for deep discovery, 100-question brainstorming, idea interrogation, architecture stress testing, strategy vetting, weakness finding, hole-poking, exhaustive exploration, planning or auditing Codex plugins or skills, or pre-commitment review of a design, plan, strategy, architecture, product, business idea, trading system, or problem space. Deep Discovery A structured self-interrogation framework that exhaustively explores a topic through 100 sequential questions, each building on the previous answer. Designed to be used in Codex as a skill for rigorous, sequential exploration before committing to a design or decision. Preflight Identify the topic, available context, focus, and starting point. If any of those are too ambiguous to run a useful interrogation, ask at most three clarifying questions before starting. Choose the mode: Evaluation: an existing design, architecture, strategy, or plan exists. Exploration: the user is starting from scratch. Comparison: the user is choosing between two or three options. Choose the closest domain pattern: software architecture, code review, Codex plugin/skill creation, business/product, trading/financial, or general. Use references/question-patterns.md as the index, then read only the relevant reference file when domain-specific prompts would improve the run. After enough context is available, run the process without further human input unless the user explicitly asks to participate. How It Works The 100-question process is a self-dialogue : ask a question, answer it, then ask the next question based on what the answer revealed. The questions naturally progress through phases: Question Progression Phase Questions Focus Foundation Q1-Q10 Goal, constraints, assumptions, what makes this unique Mechanics Q11-Q30 How it works, components, data flow, dependencies Stress Testing Q31-Q50 Edge cases, failure modes, what breaks first Competitive Analysis Q51-Q65 What exists, what's different, what's the real edge Feasibility Q66-Q80 Can this actually be built/done, what are the blockers Refinement Q81-Q90 Improvements, optimizations, what was missed Synthesis Q91-Q100 Final architecture, honest assessment, actionable output Rules for Questions Q1 is always: "What is the goal, and how do we get there?" Each question MUST build on the previous answer; avoid random jumps. Be brutally honest; surface problems instead of hiding them. Challenge assumptions with questions like "Is that actually true?" Go concrete, not abstract: use specific numbers and scenarios. If an answer reveals a critical flaw, spend multiple questions exploring it. The final 10 questions must synthesize everything into actionable output. Do not abbreviate the run below 100 questions unless the user explicitly asks for a shorter version. Running the Process Run the process in the current Codex conversation by default. If the user explicitly asks to delegate the work to a sub-agent, use Codex's available sub-agent mechanism and summarize the returned findings. Do not assume a delegation tool is available, and do not refer to legacy tool names or custom agent manifests from other harnesses. Prompt Template Use this structure for the deep-discovery run: Topic: [what we're exploring] Context: [relevant background - what's already been decided, constraints, goals] Focus: [what specifically to evaluate - architecture? strategy? feasibility?] Starting point: [any existing design or proposal to interrogate, or "from scratch"] Mode: [evaluation | exploration | comparison] Domain pattern: [software architecture | code review | codex plugin/skill creation | business/product | trading/financial | general] Do a rigorous 100-question self-brainstorm. Each question builds on the last. Start with "What is the goal, and how do we get there?" and dig progressively deeper through mechanics, stress testing, competitive analysis, feasibility, and synthesis. Be brutally honest. Find every weakness, every edge case, every failure mode. Also identify what's strong and worth keeping. At the end, provide: 1. Questions asked: 100 2. Domain pattern used 3. A numbered list of the top 10 critical issues found 4. A numbered list of the top 10 strengths 5. Specific changes recommended, with rationale 6. A revised proposal or architecture if the original needs significant changes 7. The honest bottom line: one paragraph, no sugar-coating Handling the Output After completing the run: Extract the key findings - summarize the top issues and strengths for the user. Present the revised architecture/proposal if one was generated. Integrate findings into the current design process. Do NOT dump the full 100 Q&A into the conversation unless the user explicitly asks for it; summarize the insights. Variations Evaluation Mode When an existing design/architecture/plan exists, focus the 100 questions on interrogating that specific proposal. Include the full design and focus on finding flaws, edge cases, and missing constraints. Exploration Mode When starting from scratch (no existing proposal), the 100 questions should build toward a complete design. The output should be a fully-formed proposal that emerged from the questioning process. Comparison Mode When choosing between 2-3 options, run a separate 100-question process for each, then compare the findings. If the user explicitly asks for delegated or parallel work and Codex exposes a suitable mechanism, these runs may be delegated. Synthesize a side-by-side comparison of their top issues, strengths, and revised proposals to present a clear recommendation to the user. Integration with Other Skills Before brainstorming: Run discovery to deeply understand the problem space After brainstorming: Run discovery to stress-test the proposed design Before writing plans: Run discovery to validate the architecture During debugging: Run discovery to exhaustively explore root causes Additional Resources Reference Files references/question-patterns.md - Index of available domain pattern files. references/software-architecture.md - Architecture and system design patterns. references/code-review.md - Patch, branch, and implementation review patterns. references/codex-plugin-creation.md - Codex plugin and skill planning/audit patterns. references/business-product.md - Business strategy and product patterns. references/trading-financial.md - Trading system and financial strategy patterns. references/general-pattern.md - Universal fallback pattern and discovery tips.
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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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