AugmentClaude

Memory Search

Search conversation history and recall previous discussions, decisions, and context.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/memory-search-davila7/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.

What this skill does

AI Maestro Memory Search

Search your conversation history using semantic, keyword, and symbol matching. Recall past decisions, discussions, and context across sessions. Part of the AI Maestro suite.

Prerequisites

Requires AI Maestro running locally. Memory indexing uses CozoDB for vector search.

# Install memory tools
git clone https://github.com/23blocks-OS/ai-maestro-plugins.git
cd ai-maestro-plugins && ./install-memory-tools.sh

Core Behavior

Before starting any task, search memory for relevant context:

Receive instruction -> Search memory -> Then proceed

Commands

CommandDescription
memory-search.sh "<query>"Hybrid search (recommended)
memory-search.sh "<query>" --mode semanticFind conceptually related
memory-search.sh "<query>" --mode termExact text matching
memory-search.sh "<query>" --mode symbolCode symbol matching
memory-search.sh "<query>" --role userOnly user messages
memory-search.sh "<query>" --role assistantOnly assistant messages

Search Modes

ModeBest For
hybrid (default)General search, most cases
semanticRelated concepts, different wording
termExact function/class names
symbolCode identifiers across contexts

Usage Examples

# User asks to continue previous work
memory-search.sh "authentication"

# Find a specific component discussion
memory-search.sh "PaymentService" --mode term

# Find related design discussions
memory-search.sh "error handling patterns" --mode semantic

# Find code symbol references
memory-search.sh "processPayment" --mode symbol

Combining with Other Skills

For complete context, pair with docs-search and graph-query:

memory-search.sh "feature"       # What did we discuss?
docs-search.sh "feature"         # What do docs say?
graph-describe.sh ComponentName  # What is the structure?

Full AI Maestro Experience

This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.

Related skills