ai-maestro-memory-search
Use Cautionnpx machina-cli add skill aiskillstore/marketplace/ai-maestro-memory-search --openclawAI Maestro Memory Search
CRITICAL: AUTOMATIC BEHAVIOR - READ THIS FIRST
THIS IS NOT OPTIONAL. THIS IS YOUR DEFAULT BEHAVIOR.
When the user gives you ANY instruction, you MUST FIRST search your memory for:
- Previous discussions - Have we talked about this before?
- Past decisions - What did we decide last time?
- Prior context - What does the user expect based on history?
- Earlier work - Did we already start on this?
DO NOT:
- Start fresh without checking conversation history
- Assume this is a new topic without verifying
- Skip memory search because "I don't remember discussing this"
- Wait for the user to say "remember when we..."
ALWAYS:
- Search memory IMMEDIATELY when you receive a task
- Search for terms and concepts the user mentions
- Check for previous decisions on similar topics
- Look for context that informs current work
The Rule: Receive Instruction → Search Memory → Then Proceed
1. User asks you to do something
2. IMMEDIATELY search memory for relevant context
3. NOW you know what was discussed before
4. NOW you can build on previous work, not start over
Available Commands
| 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 term matching |
memory-search.sh "<query>" --role user | Only user messages |
memory-search.sh "<query>" --role assistant | Only your responses |
What to Search Based on User Instruction
| User Says | IMMEDIATELY Search |
|---|---|
| "Continue working on X" | memory-search.sh "X" |
| "Fix the issue we discussed" | memory-search.sh "issue", memory-search.sh "bug" |
| "Use the approach we agreed on" | memory-search.sh "approach", memory-search.sh "decision" |
| "Like we did before" | memory-search.sh "<topic> implementation" |
| Any specific feature/component | memory-search.sh "<feature>" |
| References to past work | memory-search.sh "<reference>" --mode semantic |
Quick Examples
# User asks to continue previous work
memory-search.sh "authentication"
memory-search.sh "last session"
# User mentions a component we discussed
memory-search.sh "PaymentService" --mode term
# Find what the user previously asked for
memory-search.sh "user request" --role user
# Find your previous solutions
memory-search.sh "implementation" --role assistant
# Conceptual search for related discussions
memory-search.sh "error handling patterns" --mode semantic
Search Modes
| Mode | Use When |
|---|---|
hybrid (default) | General search, best for most cases |
semantic | Looking for related concepts, different wording |
term | Looking for exact function/class names |
symbol | Looking for code symbols mentioned |
Why This Matters
Without searching memory first, you will:
- Repeat explanations the user already heard
- Contradict previous decisions
- Miss context that changes the approach
- Start over instead of continuing
Memory search takes 1 second. Frustrating the user is much worse.
Combining with Doc Search
For complete context, use BOTH:
# User asks about creating a new feature
memory-search.sh "feature" # What did we discuss?
doc-search.sh "feature" # What do docs say?
Error Handling
If no results found, that's valuable information too: "No previous discussions found about X - this appears to be a new topic. Let me search the documentation..."
Then search docs as fallback.
Script not found:
- Check PATH:
which memory-search.sh - Verify scripts installed:
ls -la ~/.local/bin/memory-*.sh - Scripts are installed to
~/.local/bin/which should be in your PATH
Installation
If commands are not found:
./install-memory-tools.sh
This installs scripts to ~/.local/bin/.
Source
git clone https://github.com/aiskillstore/marketplace/blob/main/skills/23blocks-os/ai-maestro-memory-search/SKILL.mdView on GitHub Overview
AI Maestro Memory Search automatically scans prior conversations to locate past discussions, decisions, and context before starting new work. This preserves continuity, prevents rework, and leverages prior insights.
How This Skill Works
When you receive a task, memory-search.sh is run immediately to pull relevant context from previous conversations. The results inform the next steps so you build on prior work rather than starting fresh; if memory is inconclusive, you may search related docs as a fallback.
When to Use It
- Continue working on a topic or feature
- Fix the issue we discussed (bug or problem from last session)
- Use the approach we agreed on (recall decisions/design)
- Like we did before (revisit a prior topic or implementation)
- Reference a specific feature/component or past work (e.g., a PaymentService implementation)
Quick Start
- Step 1: When given a task, run memory-search.sh with keywords from the instruction.
- Step 2: Review memory results for past discussions, decisions, and context.
- Step 3: Proceed on the current task using prior work as the foundation; ask for clarification if memory is inconclusive.
Best Practices
- Always trigger memory search immediately on receiving a task
- Search for terms and concepts the user mentions
- Check for previous decisions on similar topics
- Verify memory findings with the user when context is unclear
- Use memory results to continue work rather than duplicating effort
Example Use Cases
- User asks to continue 'authentication' – memory-search.sh 'authentication'
- User mentions 'last session' – memory-search.sh 'last session'
- User references a component we discussed – memory-search.sh 'PaymentService' --mode term
- User asks to see what the user previously asked – memory-search.sh 'user request' --role user
- Searching for related patterns – memory-search.sh 'error handling patterns' --mode semantic