memory

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Execute extract and use project memories from previous sessions for context-aware assistance. Use when recalling past decisions, checking project conventions, or understanding user preferences. Trigger with phrases like "remember when", "like before", or "what was our decision about".

AI & Automation 2,274 stars 319 forks Updated today MIT

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Skill Content

# Memory ## Overview Memory provides persistent context across Claude Code sessions by storing and retrieving project decisions, user preferences, and coding conventions from a local JSON file. When a new session starts, stored memories load automatically so previously established patterns carry forward without re-explanation. ## Prerequisites - Project memory file at `.claude/memories/project_memory.json` (created automatically on first memory save) - Read and Write permissions for the `.claude/memories/` directory - Claude Never Forgets plugin installed (`/plugin install yldrmahmet/claude-never-forgets`) ## Instructions 1. **Access stored memories.** On session start, locate and read the memory file at `.claude/memories/project_memory.json` using the Read tool. Parse the JSON structure containing timestamped memory entries. See `${CLAUDE_SKILL_DIR}/references/implementation.md` for the full retrieval workflow. 2. **Match memories to current context.** Scan memory entries for keywords and topics relevant to the current task. Extract applicable decisions (e.g., "use pnpm instead of npm"), architectural patterns, library choices, and coding style preferences. 3. **Apply memories silently.** Incorporate remembered preferences into responses and tool usage without announcing them. When a memory dictates a package manager, testing framework, or naming convention, follow it automatically. 4. **Store new memories.** When significant decisions occur -- library selections, arch...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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