PROJECT_MEMORY_SKILL
New通用的 PROJECT_MEMORY_SKILL.md
Summary
The PROJECT_MEMORY_SKILL enables Claude Code to maintain persistent context across sessions by storing and retrieving key project information.
- It helps developers avoid repeating context and ensures consistent understanding of project goals, decisions, and conventions.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/project-memory-skill.md https://raw.githubusercontent.com/EasyBrowserMaster/PROJECT_MEMORY_SKILL/main/SKILL.md/project-memory-skillUse Cases
Usage Examples
/project-memory-skill store current sprint goals: implement user authentication and refactor payment module
/project-memory-skill recall architecture decisions
Remember that we use pytest for testing and follow PEP8 style. Store this in project memory.
Security Audits
Frequently Asked Questions
What is PROJECT_MEMORY_SKILL?
The PROJECT_MEMORY_SKILL enables Claude Code to maintain persistent context across sessions by storing and retrieving key project information. It helps developers avoid repeating context and ensures consistent understanding of project goals, decisions, and conventions.
How to install PROJECT_MEMORY_SKILL?
To install PROJECT_MEMORY_SKILL: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/project-memory-skill.md https://raw.githubusercontent.com/EasyBrowserMaster/PROJECT_MEMORY_SKILL/main/SKILL.md. Finally, /project-memory-skill in Claude Code.
What is PROJECT_MEMORY_SKILL best for?
PROJECT_MEMORY_SKILL is a skill categorized under General. Created by EasyBrowserMaster.
What can I use PROJECT_MEMORY_SKILL for?
PROJECT_MEMORY_SKILL is useful for: When starting a new session, recall the project's architecture and key decisions made in previous sessions.; Store the current sprint goals and task priorities so Claude Code can align its suggestions with project milestones.; Remember coding conventions and style preferences to maintain consistency across the codebase.; Capture and retrieve important technical constraints or dependencies that affect implementation choices.; Track the status of ongoing work, such as which features are complete and which are in progress.; Recall user preferences for tooling, testing frameworks, or deployment strategies without re-explaining each session..