菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task.
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
| 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 suite.
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
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 platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.