agent-management
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent",…
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
$ npx -y skills add davila7/claude-code-templates --skill memory-search --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/memory-searchContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: memory-search description: 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.
Search your conversation history using semantic, keyword, and symbol matching. Recall past decisions, discussions, and context across sessions. Part of the [AI Maestro](https://github.com/23blocks-OS/ai-maestro) suite.
Requires [AI Maestro](https://github.com/23blocks-OS/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
Before starting any task, search memory for relevant context:
Receive instruction -> Search memory -> Then proceed
| Command | Description | |---------|-------------| | `memory-search.sh "<query>"` | Hybrid search (recommended) | | `memory-search.sh "<query>" --mode semantic` | Find conceptually related | | `memory-search.sh "<query>" --mode term` | Exact text matching | | `memory-search.sh "<query>" --mode symbol` | Code symbol matching | | `memory-search.sh "<query>" --role user` | Only user messages | | `memory-search.sh "<query>" --role assistant` | Only assistant messages |
| Mode | Best For | |------|----------| | `hybrid` (default) | General search, most cases | | `semantic` | Related concepts, different wording | | `term` | Exact function/class names | | `symbol` | Code identifiers across contexts |
# 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
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?
This skill is part of the [AI Maestro](https://github.com/23blocks-OS/ai-maestro) platform, which provides **6 skills** for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.
Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your development workflow.
Repo: davila7/claude-code-templates
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