ai-maestro-memory-search
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Best use case
ai-maestro-memory-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "ai-maestro-memory-search" skill to help with this workflow task. Context: PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-maestro-memory-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-maestro-memory-search Compares
| Feature / Agent | ai-maestro-memory-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI 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 ```bash # 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: ```bash # 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: ```bash ./install-memory-tools.sh ``` This installs scripts to `~/.local/bin/`.
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