skillboardUpdated every 6 hours
skillboardSearch 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.
Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/memory-search · pinned to the source commit
# Run from your project root
git clone https://github.com/davila7/claude-code-templates.git .skillboard-tmp
git -C .skillboard-tmp checkout 77b087e2153e35250cd3cc7c192218a2d990b6ed
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/cli-tool/components/skills/ai-maestro/memory-search" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/davila7/claude-code-templates.git .skillboard-tmp
git -C .skillboard-tmp checkout 77b087e2153e35250cd3cc7c192218a2d990b6ed
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/cli-tool/components/skills/ai-maestro/memory-search" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/memory-search
Scanner static-checks@0.1.0 · commit 77b087e2153e. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.