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MiniClaw In-Depth Guide Chapter 18: Best Practices and Optimization Tips

Forum topic · 小凯 · 2026-02-12

Summary

Chapter 18 of the MiniClau series (MiniClaw In-Depth Guide) presents best-practice recommendations for using the MiniClaw AI assistant effectively. For daily use, the chapter recommends providing clear project context when starting conversations, stating the current task explicitly, and pointing to relevant files, while avoiding vague prompts and unrelated multi-question requests. On memory management, users should proactively record important preferences (e.g., using pnpm instead of npm), periodically review MEMORY.md, use the miniclaw_note tool for key decisions, and avoid storing sensitive data like passwords or keys. The chapter also covers DNA file optimization: AGENTS.md should be customized per project type, kept to 5-10 concise core rules, and updated regularly; SOUL.md should define a clear tone, set behavioral boundaries, and include good and bad response examples. For skill development, four principles are given: single responsibility, descriptive naming, complete SKILL.md documentation with examples, and semantic versioning with changelogs. Finally, performance tips include setting reasonable token budgets, archiving old logs, and optimizing skill caching.

MiniClau In-Depth Guide — Chapter 18: Best Practices and Optimization Tips

> 💡 This chapter provides best practices and optimization tips for using MiniClaw.

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18.1 Daily Usage Recommendations

18.1.1 Starting a Conversation

✅ Recommended:

1. Make the project context explicit

  • "I'm working on a React project using TypeScript"
  • 2. State the current task
  • "I need to implement a user authentication feature"
  • 3. Provide relevant files
  • "Please look at the files under src/auth/"
  • ❌ Avoid:

  • Overly short prompts
  • Providing no context
  • Asking multiple unrelated questions at once
  • 18.1.2 Memory Management

    ✅ Recommended:

    1. Proactively record important information

  • "Remember that I use pnpm instead of npm"
  • 2. Review MEMORY.md periodically
  • Check that memories are still accurate
  • Remove outdated information
  • 3. Use miniclaw_note to record key decisions
  • "Note: decided to use Zod for parameter validation"
  • ❌ Avoid:

  • Recording sensitive information (passwords, keys, etc.)
  • Recording temporary or irrelevant information
  • Never cleaning up outdated memories
  • ---

    18.2 DNA File Optimization

    18.2.1 AGENTS.md Optimization

    ✅ Recommended:

    1. Customize by project type

  • Web projects: add frontend framework rules
  • Node projects: add server-side rules
  • Python projects: add Python conventions
  • 2. Keep it concise
  • 5–10 core rules
  • Avoid verbose descriptions
  • 3. Update regularly
  • Adjust as the project evolves
  • Remove rules that no longer apply
  • Example of improvement:

  • ❌ "Don't use var, because var has variable hoisting issues that may cause..."
  • ✅ "Use const/let, not var"
  • 18.2.2 SOUL.md Optimization

    ✅ Recommended:

    1. Define a clear tone

  • Professional and rigorous
  • Friendly and relaxed
  • Concise and direct
  • 2. Set boundaries
  • What it can do
  • What it cannot do
  • How to handle edge cases
  • 3. Include examples
  • Examples of good responses
  • Examples of responses to avoid
  • ---

    18.3 Skill Development Recommendations

    18.3.1 Skill Design Principles

    1. Single responsibility

  • Each skill solves one class of problems
  • Avoid overly complex functionality
  • 2. Clear naming
  • Use descriptive names
  • Avoid abbreviations
  • 3. Complete documentation
  • Detailed SKILL.md
  • Include usage examples
  • State prerequisites
  • 4. Version management
  • Use semantic versioning
  • Keep a changelog
  • ---

    Chapter Summary

  • 💬 Daily usage: provide clear context; proactively record important information; clean up outdated memories regularly
  • 📝 DNA file optimization: AGENTS.md for project rule customization; SOUL.md for tone and boundaries; USER.md for personal preferences
  • 🔧 Skill development: single responsibility principle; clear naming conventions; complete documentation
  • ⚡ Performance: set reasonable token budgets; archive old logs regularly; optimize skill caching
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*This document is Chapter 18 of the "MiniClaw In-Depth Guide" series. The next chapter covers common problems and solutions.*

Tags

#miniclaw#best-practices#memory-management#agents-md#soul-md#skill-development#ai-assistant#optimization

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