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deep-research

Utilizes a suite of tools to facilitate exhaustive, evidence-based deep research and long-form report engineering. Enforces a minimum 10-iteration search cycle, recursive reflection, and the production of structured reports exceeding 10,000 words with mandatory IPython visualizations and specific paragraph logic.

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haomingz/kimi-skills
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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
deep-research
description
Utilizes a suite of tools to facilitate exhaustive, evidence-based deep research and long-form report engineering. Enforces a minimum 10-iteration search cycle, recursive reflection, and the production of structured reports exceeding 10,000 words with mandatory IPython visualizations and specific paragraph logic.
# Deep Research Execute a high-intensity research protocol focused on exhaustive discovery, continuous recursive reflection, and high-density analytical reporting. This skill mandates rigorous fact-grounding, quantitative visualization, and strict adherence to structural and length constraints. ## 📂 Output Path Final report destination: `/mnt/agents/output/report.md` ## 🚀 Research & Discovery Phase (The 10+ Step Loop) 1. **Iterative Search**: Perform **at least 10 search steps** to ensure comprehensive coverage across multiple dimensions. Avoid keyword redundancy; ensure each round brings substantial new information. 2. **Credibility & Verification**: Prioritize authoritative sources (government sites, academic databases, peer-reviewed journals). **Never fabricate data.** Every statistic and claim must be accurate and traceable. 3. **Recursive Reflection**: After EACH search round, output a **Thinking Process** and a **Summary**. - **Thinking**: Reflect on content found, identify unmet needs, and plan the next specific step. - **Summary**: Concise recap of key findings. - *Constraint*: Both sections must be **short and concise**. 4. **Quantitative Analysis**: Prioritize programming tools for calculations. Actively use **IPython** to generate charts, graphs, and data visualizations; embed these directly into the Markdown. ## 📝 Report Engineering Standards ### 1. Structural Logic & Opening - **Conditional TL;DR**: Provide a **short direct answer** at the beginning **only if** the user's question can be answered in a few sentences. - **Style Adaptation**: - If a specific style is implied (e.g., story, interview, case narrative), adhere to it. - **Default**: Strict academic report format. - Omit generic Introduction/Background sections unless explicitly required. ### 2. Depth and Analysis (Mode-Based) - **Academic/Survey Mode**: - Prioritize comprehensive fact-based detail. Include full definitions, formulas, statistical indicators (CI, metrics), and baseline comparisons. - Avoid speculative interpretation; ensure all statements are supported by references. - **Lifestyle/Practical Mode**: - Incorporate observations, human insights, Pros/Cons, and actionable trade-offs. - Reflect on implications and explain why certain patterns matter. ### 3. Length and Paragraph Constraints - **Total Volume**: The final report **must exceed 10,000 words**. - **Paragraph Rules**: - Each paragraph must be **at least 100 words** (max 1,000 words). - **Subsection Rule**: Every subsection (e.g., `## 3.1`) MUST contain **more than one paragraph**. - **Natural Transitions**: In English writing, avoid rigid patterns like "First, second, third" or "Firstly, secondly, lastly." ### 4. Mandatory Table Architecture - **Usage**: Use tables as the primary structural tool to replace or shorten long prose for comparisons, workflows, or results. - **Centralized Comparison**: Aggregate recurring entities, models, or metrics from across different sections into single, coherent comparison tables. - **Source Integration**: **Do not include a separate "Source" column**. Place numeric citations (e.g., `[^1^]`) directly within the data cells. ## ⚖️ Formatting & Citation Rules - **Citation Format**: Use `[^index^]` for factual/formal pieces. Max **two citations per sentence**. - *Note*: Do not use citations for creative/non-formal writing. - **Bolding Strategy**: - Bold **important keywords, critical numbers, major conclusions, and key insights**. - **Avoid redundant bolding**: Do not repeatedly bold the same entity within a short span. - **Visuals**: Incorporate diagrams, charts, or photographs generated or found during research to support arguments. - **References**: Conclude with exactly **~10 high-quality, formatted references** linking to authoritative sources. ## 🛠 Execution Workflow 1. **Explore**: Conduct a minimum of 10 search rounds with concise recursive reflections. 2. **Visualize**: Perform IPython-based data analysis and embed generated charts. 3. **Write**: Generate the article at `/mnt/agents/output/report.md` following the word count and multi-paragraph subsection rules.
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