Agent skill

remember

Search your semantic memory for relevant past context. Cross-language, time-decay scored. Usage /remember "topic" or /remember stats.

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Install this agent skill to your Project

npx add-skill https://github.com/LupoGrigi0/Human-Adjacent-Coordination/tree/main/.claude/skills/remember

SKILL.md

Remember

Search your HACS semantic memory.

Steps

  1. Read identity:

    bash
    # Identity: CWD first (per-instance), then home (fallback)
    if [ -f .hacs-identity ]; then source .hacs-identity 2>/dev/null
    elif [ -f ~/.hacs-identity ]; then source ~/.hacs-identity 2>/dev/null
    fi
    

    If missing, tell user to run /hacs-setup first.

  2. Parse arguments:

    Search:

    • /remember "topic" → call mcp__HACS__remember with instanceId, query: "topic"
    • /remember "topic" --recent → add recent_only: true (last 7 days)
    • /remember "topic" --type diary → filter by entry_type

    Store:

    • /remember store "content" → call mcp__HACS__store_memory with instanceId, content
    • /remember store "content" --type lesson → with entry_type

    Stats:

    • /remember stats → call mcp__HACS__remember_stats with instanceId
  3. For search results, display as:

    Found [count] memories:
    1. [score] [type] [date] — first line of content...
    2. ...
    
  4. For the most relevant result (score > 0.6), show the full content.

Rules

  • Default to search mode if no subcommand specified
  • Show scores to help the user judge relevance
  • Cross-language: queries in one language can find memories in another
  • Keep output concise — show previews, not full content for all results

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