看不懂的SOL|3月 30, 2026 06:47
Most lobster and Claude Code players believe that the key to using lobster well is to write better quality prompt words.
Actually, it's not at all.
The real core is to organize your code repository into a clear structure, so that Claude can think like an engineer.
If the brothers' warehouse is chaotic, Claude will just be an ordinary chatbot;
If the warehouse structure is well-organized, Claude will become an exclusive developer rooted in your code repository.
A project only needs to do these four things well:
-Core Logic: Functional Positioning of the System
-Structural map: Distribution location of file modules
-Standard guidelines: permissible and prohibited operating boundaries
-Workflow: Execution method of tasks
I call this system:
Claude Code Project Architecture Analysis
one ️⃣ CLAUDE.md=Warehouse Core Memory (Content must be streamlined)
This document is Claude's action plan.
Don't write a lengthy essay on personal growth, just include three points:
-Project purpose: The core value of the system's existence
-Warehouse Structure: Catalog Layout of the Project
-Norms+Instructions: Claude's Operational Guidelines
Once the CLAUDE.md content is too long, the model will ignore key information instead.
Clarity and conciseness are always more important than being lengthy.
two ️⃣ . Claim/skills/=reusable professional mode
Don't repeat instructions repeatedly in prompt words anymore.
Encapsulate commonly used workflows into reusable skill modules.
Give a few examples:
-Code Review Checklist
-Code Refactoring Manual
-Debugging workflow
-Version Release Specification
This way Claude can switch to professional mode with just one click,
The final effect is:
When collaborating across sessions and teams, the output results are more stable and consistent.
three ️⃣ . Claim/books/=behavior barrier
Big models may forget rules, but hooks do not.
Use hooks to implement fixed operations that must be automatically executed.
Example:
-Automatically run formatting tool after code editing
-Automatically trigger testing after modifying the core module
-Block sensitive directories (related to authentication, billing, and data migration)
Hooks can turn AI workflows into reliable engineering systems.
four ️⃣ Docs/=Progressive Context
Don't stuff all the information into the prompt words,
Allow Claude to independently review your documents.
Example:
-Architecture Overview
-Engineering Decision Record (ADR)
-Operation and Maintenance Manual
Claude doesn't need to memorize everything in his mind,
It only needs to know the location of authoritative information.
five ️⃣ Local CLAUDE.md of the core module
Some modules in the system conceal complex logic,
Add local context files at these critical locations.
Example:
src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md
In this way, Claude can accurately understand the complexity of these high-risk modules when dealing with them,
Significantly reduce the probability of errors.
Most people overlook a key shift:
The prompt words are temporary,
Structure is long-lasting.
Once your code repository is tailored for AI,
Claude is no longer an ordinary chatbot
But instead, they become exclusive engineers integrated into the project.
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