User Input
$ARGUMENTSYou MUST consider the user input before proceeding (if not empty). User may specify:
create- Create new CLAUDE.md from scratchupdate- Improve existing CLAUDE.mdaudit- Analyze and report on current CLAUDE.md quality- A specific path to create/update (e.g.,
src/api/CLAUDE.mdfor directory-specific instructions)
Core Principles
LLMs are stateless: CLAUDE.md is the only file automatically included in every conversation. It serves as the primary onboarding document for AI agents into your codebase.
The Golden Rules
-
Less is More: Frontier LLMs can follow ~150-200 instructions. Claude Code’s system prompt already uses ~50. Keep your CLAUDE.md focused and concise.
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Universal Applicability: Only include information relevant to EVERY session. Task-specific instructions belong in separate files.
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Don’t Use Claude as a Linter: Style guidelines bloat context and degrade instruction-following. Use deterministic tools (prettier, eslint, etc.) instead.
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Never Auto-Generate: CLAUDE.md is the highest leverage point of the AI harness. Craft it manually with careful consideration.
Execution Flow
1. Project Analysis
First, analyze the current project state:
-
Check for existing CLAUDE.md files:
- Root level:
./CLAUDE.mdor.claude/CLAUDE.md - Directory-specific:
**/CLAUDE.md - Global user config:
~/.claude/CLAUDE.md
- Root level:
-
Identify the project structure:
- Technology stack (languages, frameworks)
- Project type (monorepo, single app, library)
- Development tools (package manager, build system, test runner)
-
Review existing documentation:
- README.md
- CONTRIBUTING.md
- package.json, pyproject.toml, Cargo.toml, etc.
2. Content Strategy (WHAT, WHY, HOW)
Structure CLAUDE.md around three dimensions:
WHAT - Technology & Structure
- Technology stack overview
- Project organization (especially important for monorepos)
- Key directories and their purposes
WHY - Purpose & Context
- What the project does
- Why certain architectural decisions were made
- What each major component is responsible for
HOW - Workflow & Conventions
- Development workflow (bun vs node, pip vs uv, etc.)
- Testing procedures and commands
- Verification and build methods
- Critical “gotchas” or non-obvious requirements
3. Progressive Disclosure Strategy
For larger projects, recommend creating an agent_docs/ folder:
agent_docs/
|- building_the_project.md
|- running_tests.md
|- code_conventions.md
|- architecture_decisions.mdIn CLAUDE.md, reference these files with instructions like:
For detailed build instructions, refer to `agent_docs/building_the_project.md`Important: Use file:line references instead of code snippets to avoid outdated context.
4. Quality Constraints
When creating or updating CLAUDE.md:
- Target Length: Under 300 lines (ideally under 100)
- No Style Rules: Remove any linting/formatting instructions
- No Task-Specific Instructions: Move to separate files
- No Code Snippets: Use file references instead
- No Redundant Information: Don’t repeat what’s in package.json or README
5. Essential Sections
A well-structured CLAUDE.md should include:
# Project Name
Brief one-line description.
## Tech Stack
- Primary language and version
- Key frameworks/libraries
- Database/storage (if any)
## Project Structure
[Only for monorepos or complex structures]
- `apps/` - Application entry points
- `packages/` - Shared libraries
## Development Commands
- Install: `command`
- Test: `command`
- Build: `command`
## Critical Conventions
[Only non-obvious, high-impact conventions]
- Convention 1 with brief explanation
- Convention 2 with brief explanation
## Known Issues / Gotchas
[Things that consistently trip up developers]
- Issue 1
- Issue 26. Anti-Patterns to Avoid
DO NOT include:
- Code style guidelines (use linters)
- Documentation on how to use Claude
- Long explanations of obvious patterns
- Copy-pasted code examples
- Generic best practices (“write clean code”)
- Instructions for specific tasks
- Auto-generated content
- Extensive TODO lists
7. Validation Checklist
Before finalizing, verify:
- Under 300 lines (preferably under 100)
- Every line applies to ALL sessions
- No style/formatting rules
- No code snippets (use file references)
- Commands are verified to work
- Progressive disclosure used for complex projects
- Critical gotchas are documented
- No redundancy with README.md
Output Format
For create or default:
- Analyze the project
- Draft a CLAUDE.md following the structure above
- Present the draft for review
- Write to the appropriate location after approval
For update:
- Read existing CLAUDE.md
- Audit against best practices
- Identify:
- Content to remove (style rules, code snippets, task-specific)
- Content to condense
- Missing essential information
- Present changes for review
- Apply changes after approval
For audit:
- Read existing CLAUDE.md
- Generate a report with:
- Current line count vs target
- Percentage of universally-applicable content
- List of anti-patterns found
- Recommendations for improvement
- Do NOT modify the file, only report
AGENTS.md Handling
If the user requests AGENTS.md creation/update:
AGENTS.md is used for defining specialized agent behaviors. Unlike CLAUDE.md (which is for project context), AGENTS.md defines:
- Custom agent roles and capabilities
- Agent-specific instructions and constraints
- Workflow definitions for multi-agent scenarios
Apply similar principles:
- Keep focused and concise
- Use progressive disclosure
- Reference external docs instead of embedding content
Notes
- Always verify commands work before including them
- When in doubt, leave it out - less is more
- The system reminder tells Claude that CLAUDE.md “may or may not be relevant” - the more noise, the more it gets ignored
- Monorepos benefit most from clear WHAT/WHY/HOW structure
- Directory-specific CLAUDE.md files should be even more focused