memory-search 精选
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.
安装方式
cp -r cli-tool/components/skills/ai-maestro/memory-search ~/.claude/skills/memory-search把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/davila7/claude-code-templates/b84033e51002cd4c805d5dce27e6d1fe19cb95f1/cli-tool/components/skills/ai-maestro/memory-search/SKILL.md下载后另存为 ~/.claude/skills/memory-search/SKILL.md。链接锁定采集时的 commit，内容与本站展示一致。
整仓一次性获取：git clone --depth 1 https://github.com/davila7/claude-code-templates.git
依赖与权限
- 无需 API Key
- 需要联网访问外部服务
- 依赖外部命令：
git - 以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。
触发场景
what did we discussremember whenfind previous c
SKILL.md 正文
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.shCore Behavior
Before starting any task, search memory for relevant context:
Receive instruction -> Search memory -> Then proceedCommands
| 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 |
Search Modes
| Mode | Best For |
|---|---|
hybrid (default) | General search, most cases |
semantic | Related concepts, different wording |
term | Exact function/class names |
symbol | Code 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 symbolCombining 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.
质量与来源
- 所属仓库
- davila7/claude-code-templates
- 仓库星标
- 3.3 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- b84033e51002
- 内容指纹
- sha256:34d7aa676adefe8
- 文件路径
- cli-tool/components/skills/ai-maestro/memory-search/SKILL.md
同仓库其它 Skill
查看全部 50 个owasp-security
Comprehensive OWASP-aligned security guidance across six standards - Top 10 (2021) for web apps, ASVS 5.0, MASVS v2.1.0 for mobile, API Security Top 10 (2023), Kubernetes Top 10 (2022), and the Agentic Applications 2026 edition for AI/LLM. Use for security reviews, vulnerability audits, secure auth/crypto/access-control implementation, Kubernetes manifest hardening, and LLM/agent prompt-injection defense - including indirect requests like "is this login flow secure?", "review this endpoint", or "audit my pod spec".
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", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management task.
agent-messaging
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.
docs-search
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.
graph-query
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.
planning
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.
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