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senlima-sun

save-to-memory

by senlima-sun

0🍴 0📅 Jan 23, 2026

SKILL.md


name: save-to-memory description: Save current conversation to persistent memory. Use when user says "save this", "remember this", "store this for later", or wants to preserve context for future sessions. allowed-tools: mcp__aiii__save_memory, mcp__aiii__list_spaces, mcp__aiii__create_space

Save to Memory

Save the current conversation or specific content to aiii's local encrypted memory store for future recall.

When to Use

  • User explicitly asks to save/remember something
  • Important decision or conclusion was reached
  • User wants to preserve context for future sessions
  • After completing a significant task

Instructions

  1. Analyze the conversation for key content worth saving:

    • Main topics discussed
    • Decisions made
    • Code changes or implementations
    • Important conclusions
  2. Determine the appropriate space:

    • Query available spaces using the MCP resource aiii://spaces
    • Match content to existing spaces:
      • Work: coding, tickets, PRs, technical work
      • Health: medical, fitness, nutrition discussions
      • Learning: tutorials, concepts learned
      • Finance: budgets, investments, purchases
    • If no suitable space exists, offer to create one
  3. Generate a concise title (under 50 characters):

    • Use action-oriented language
    • Include key identifiers (PR numbers, feature names)
    • Examples: "Fixed auth bug in PR #234", "Vitamin D discussion"
  4. Extract relevant tags:

    • Technologies used (react, rust, python)
    • Project names
    • Key concepts
    • People mentioned
  5. Create a summary:

    • 2-3 sentences capturing the essence
    • Include outcomes and next steps if applicable
  6. Call the save_memory tool:

    {
      "content": "Full conversation summary...",
      "title": "Concise title",
      "summary": "Brief 2-3 sentence summary",
      "space_id": "space_xxx",
      "source": "claude-code",
      "tags": ["tag1", "tag2"]
    }
    
  7. Confirm to user with:

    • Space name where saved
    • Title used
    • Tags applied

Example Interaction

User: "Save this conversation about the auth refactoring"

Claude:

  1. Analyzes conversation → Found auth refactoring discussion
  2. Identifies space → Work
  3. Generates title → "Auth refactoring: JWT to session-based"
  4. Extracts tags → ["auth", "jwt", "refactoring", "security"]
  5. Creates summary → "Refactored authentication from JWT to session-based approach. Implemented HttpOnly cookies and CSRF protection. Next: add rate limiting."
  6. Saves to aiii
  7. Confirms: "Saved to Work space: 'Auth refactoring: JWT to session-based' with tags: auth, jwt, refactoring, security"

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

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