mirror of
https://github.com/basicmachines-co/basic-memory
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phernandez
4bfec8a88e
New capability to research topics and save structured reports: /research command: - /research <topic> [folder] - Investigates using web search, codebase search, and existing notes - Produces structured report with findings and analysis - Saves to research/ folder by default research skill (model-invoked): - Triggers on "research", "investigate", "look into", "explore" - Gathers information from multiple sources - Synthesizes findings into actionable reports - Links to sources and related notes Report structure: - Summary and research question - Key findings with evidence - Analysis and recommendations - Open questions and sources - Observations and relations for knowledge graph 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: phernandez <paul@basicmachines.co>
2.6 KiB
2.6 KiB
description, argument-hint, allowed-tools
| description | argument-hint | allowed-tools |
|---|---|---|
| Research a topic and save a structured report to Basic Memory | <topic> [folder] | mcp__basic-memory__write_note, mcp__basic-memory__search_notes, mcp__basic-memory__read_note, mcp__basic-memory__build_context, WebSearch, WebFetch, Grep, Glob, Read |
Research
Research a topic thoroughly and produce a structured report saved to Basic Memory.
Arguments
$1- Topic to research (required)$2- Folder to save report (optional, default: "research")
Your Task
Conduct thorough research on: $ARGUMENTS
1. Check Existing Knowledge
First, see what we already know:
mcp__basic-memory__search_notes(query="$1", project="main")
Read any relevant existing notes to avoid duplicating research.
2. Gather Information
Depending on the topic, use appropriate tools:
For codebase topics:
- Search code with Grep/Glob
- Read relevant files
- Check tests for examples
For external topics:
- Use WebSearch for current information
- Fetch documentation with WebFetch
- Look for official sources
For Basic Memory context:
- Build context from related notes
- Check for prior decisions or research
3. Analyze Findings
Synthesize what you learned:
- Identify key concepts
- Note patterns and trade-offs
- Form recommendations if applicable
- Flag uncertainties
4. Produce Report
Create a structured report with this format:
---
title: "Research: [Topic]"
type: research
tags:
- research
- [relevant-tags]
---
# Research: [Topic]
## Summary
[2-3 sentence executive summary]
## Research Question
[What we investigated and why]
## Key Findings
### [Finding 1]
[Details and evidence]
### [Finding 2]
[Details and evidence]
### [Finding 3]
[Details and evidence]
## Analysis
[Synthesis, patterns, trade-offs, recommendations]
## Open Questions
- [Areas needing more investigation]
## Sources
- [Links to sources]
- [[Related Notes]] from Basic Memory
## Observations
- [finding] Key insight #research
- [recommendation] Suggested approach based on research
## Relations
- researches [[Topic]]
- relates-to [[Related Concepts]]
5. Save Report
mcp__basic-memory__write_note(
title="Research: $1",
content="[report content]",
folder="$2" or "research",
tags=["research", ...],
project="main"
)
6. Present Summary
After saving, present:
- Key findings summary
- Main recommendation (if applicable)
- Where the report was saved
- Offer to dive deeper into any aspect
Examples
/research MCP protocol
/research "database migration patterns"
/research "authentication options" decisions
/research "React vs Vue" architecture