AgentSkillsCN

deep-reason

当用户询问“让我们深入思考这个问题”“让我们逐步分析”“让我们评估各种选项”“让我们理性地探讨这个问题”“让我们仔细斟酌”“让我们深思熟虑”“你有什么建议？”“你有什么推荐？”“这个问题很复杂”“这个问题很棘手”“这是一个大问题”，或面对需要深度分析、影响系统多个组件、具有重要架构意义，或关乎重大设计决策的问题时，可使用此技能。重要提示：请勿直接调用 seq-think MCP，而是优先使用此技能——该技能会提供结构化的流程，并生成分析文档。

SKILL.md
--- frontmatter
name: deep-reason
description: "Esta skill debe usarse cuando el usuario pide \"pensemos esto a fondo\", \"analicemos paso a paso\", \"evaluemos opciones\", \"razonemos sobre esto\", \"pensemos detenidamente\", \"meditemos\", \"qué me sugieres\", \"qué me recomiendas\", \"esto es complejo\", \"esto es complicado\", \"problema grande\", o ante problemas que requieren análisis profundo, afectan múltiples componentes del sistema, tienen implicaciones arquitectónicas importantes, o representan decisiones de diseño con impacto significativo. IMPORTANTE: Invocar esta skill en lugar de usar seq-think MCP directamente - la skill proporciona workflow estructurado con generación de documentos de análisis."
model: claude-opus-4-5-20251101
version: 0.1.0
user-invocable: true

To engage in deep, structured reasoning for complex problems, apply the sequential-thinking approach with these guidelines:

Thought Process Guidelines

During the sequential thinking process:

1. Initial Thoughts: Problem Space Definition

  • •Reduce scope if the problem is too broad or unfocused
  • •Create the problem space: Define the problem itself WITHOUT any influence from solutions or tools
    • •See the problem as it truly is, not through the lens of potential solutions
    • •Identify core constraints, requirements, and success criteria
    • •Separate facts from assumptions

2. Solution Generation

  • •Generate multiple options or solutions to the stated problem
  • •Consider diverse approaches, not just the most obvious ones
  • •Think creatively about different paths to the goal

3. Information Gathering

  • •Gather information as needed throughout the thought process
  • •Use tools (Read, Grep, Glob, WebFetch, MCPs, specialized agents, etc.) to understand:
    • •The problem better
    • •Existing code/patterns
    • •Any proposed solutions
    • •Technical constraints or documentation

4. Option Evaluation

  • •Evaluate each option thoroughly, considering:
    • •Pros: Benefits, strengths, advantages
    • •Cons: Drawbacks, risks, limitations
    • •Trade-offs between options
    • •Implementation complexity
    • •Long-term maintainability

5. Use Branches for Multiple Options

  • •When thinking through multiple distinct options or solutions, use the branch feature of the MCP:
    • •branchFromThought: Specify which thought number is the branching point
    • •branchId: Give each branch a descriptive identifier (e.g., "option-redis", "option-inmemory")
  • •This allows parallel exploration of different approaches

After Completing the Thought Chain

After completing the sequential thinking process and reaching a conclusion:

  1. •

    Present findings to the user concisely

  2. •

    Ask if they want a summary document using the AskUserQuestion tool:

    • •Question: "Would you like me to generate a summary document of the knowledge and analysis generated during this reasoning process?"
    • •Options:
      • •"Yes, generate summary" (description: "I'll create a detailed document with the complete analysis, evaluated options, and conclusions")
      • •"No, continue without summary" (description: "We'll proceed without generating the summary document")
  3. •

    When user chooses "Yes, generate summary":

    • •Use the template from summary-template.md in this skill directory
    • •Fill template sections with information from the thought chain
    • •Save to an appropriate location (docs/, project root, or user-specified)
    • •Use descriptive filename with timestamp (e.g., sequential-reasoning-summary-2026-01-14.md)

Important Notes

  • •Be thorough but efficient: Don't add thoughts just to increase the count
  • •Revise when needed: Use isRevision: true and revisesThought if earlier thinking was flawed
  • •Branch when exploring: Use branches to explore multiple paths simultaneously
  • •Gather context: Don't hesitate to use tools mid-thought-chain to gather necessary information
  • •Express uncertainty: If unsure, express it and explore alternatives
  • •Stop when done: Set nextThoughtNeeded: false only when truly satisfied with the solution

Resources

Summary Template

  • •summary-template.md - Comprehensive template for knowledge synthesis documents including:
    • •Problem space definition
    • •Options generation and evolution tracking
    • •Comparative analysis (tables for 2 options, lists for 3+)
    • •Conclusions with pros/cons
    • •Recommendations and next steps