Structuring Claude Code Projects with CLAUDE.md, Skills, and MCP

Workflow Improvements for Claude Code
A developer on r/ClaudeAI shared practical approaches to structuring Claude Code projects that have improved their workflow. The key methods focus on systematic approaches rather than isolated prompts.
Plan Mode First
Starting in plan mode instead of immediate execution makes a significant difference. By writing the goal clearly and letting Claude break it into steps first, you can catch gaps early. Reviewing the plan before running anything saves time and results in cleaner output with fewer edits.
CLAUDE.md as Project Memory
Using a CLAUDE.md file properly serves as long-term project memory. The developer recommends including:
- Project structure
- Coding style preferences
- Common commands
- Naming conventions
- Constraints
Once this file is solid, you stop repeating context and outputs become more consistent across sessions.
Reusable Skills
Skills are powerful for recurring tasks. If you often ask Claude to:
- Format output in a specific way
- Review code with certain rules
- Summarize data using a fixed structure
You can package that logic once and reuse it. This removes friction and keeps quality stable.
MCP for Tool Integration
MCP (Model Context Protocol) is another layer worth exploring. Connecting Claude to tools like GitHub, Notion, or local CLI scripts changes how you think about it. Instead of copying data back and forth, you operate across tools directly from the terminal, making automation feel practical.
The developer notes that the biggest mindset shift is that Claude Code works best when you design small systems around it, not isolated prompts.
📖 Read the full source: r/ClaudeAI
👀 See Also

Short Leash AI Coding Method: Beat Fable by Keeping Control
Greg Slepak's short leash method for AI coding agents: plan, review every diff, deny bad changes, commit after subtasks. Beats Fable quality by keeping the developer in the loop.

Free OpenClaw Gateway with Local LLM on Oracle Cloud
A developer shares how to run OpenClaw Gateway with a local Qwen3.5 27B A3B 4-bit LLM on Oracle Cloud's free tier using a VM.Standard.A2.Flex instance with 4 OCPUs, 24GB RAM, and 200GB SSD, managed remotely via the QCAI app.

Practical Prompt Engineering Lessons from Using Claude Code
A project manager shares specific techniques that improved Claude Code results: two-phase prompting, single-objective prompts, and highly specific role definitions.

OpenClaw Resource List Compiled from Community Sources
A GitHub repository collects practical OpenClaw resources covering setup, configuration, memory systems, security, skills, model compatibility, and community links to help developers avoid common information gaps.