
obs-research
by solstice035
SKILL.md
name: obs-research description: "Cross-vault research synthesis - search vault for topic-relevant content, identify connections, and generate synthesized insights with citations."
Research Synthesis Skill
Workflow Position
[Research question or topic]
|
personal:obs-research <- YOU ARE HERE
|
[Search Phase] -> Keywords -> Tags -> Backlinks -> Semantic
|
[Connection Analysis] -> Shared tags -> Common links -> Themes
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[Synthesis] -> Key insights -> Patterns -> Gaps
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[Output] -> Research note with citations + Suggested links
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[Optional: Create MOC or update existing]
Overview
Cross-vault research synthesis that searches your entire knowledge base for relevant content, identifies non-obvious connections, and generates synthesized insights. Best used after obs-backlinking has improved vault connectivity.
Key Features:
- Multi-strategy search (keywords, tags, backlinks, semantic)
- Connection mapping between related notes
- Synthesis generation with proper citations
- Gap analysis (what's missing from your knowledge base)
- Link suggestions to improve vault connectivity
- Optional MOC (Map of Content) generation
Primary Value: Surface buried knowledge and non-obvious connections across your vault.
When to Use
- Preparing a presentation or document
- Exploring a topic you've written about before
- Finding all notes related to a project
- Discovering connections you've forgotten
- Building a MOC for a subject area
- Research for writing or decision-making
When to Skip
- New topic - If you haven't written about it, there's nothing to find
- Single note lookup - Just search directly
- Quick reference - Use normal search instead
The Process
Step 1: Define Research Scope
Ask the user:
What would you like to research in your vault?
Please provide:
- Topic or question - What are you trying to understand?
- Scope - Full vault or specific folders?
- Depth - Quick scan or deep synthesis?
Example inputs:
- "Everything I know about data governance"
- "All notes related to the LeanIX project"
- "What have I learned about productivity systems?"
- "Find connections between compliance and technology"
Step 2: Multi-Strategy Search
Keyword Search:
- Direct topic mentions in note content
- Title matches
- Heading matches
Tag Search:
- Relevant PARA tags (
#p/,#a/,#r/) - Domain tags (
domain/compliance,tech/python) - Related tags identified through co-occurrence
Backlink Search:
- Notes that link to topic-relevant notes
- Notes linked FROM topic-relevant notes
- Second-degree connections (notes that share links)
Semantic Search:
- Similar concepts even with different terminology
- Related themes and patterns
- Contextually related content
Present search results:
## Search Results: "data governance"
**Direct Matches:** 12 notes
**Tag Matches:** 8 notes (domain/compliance, p/bcbs239)
**Backlink Connections:** 15 notes
**Semantic Matches:** 6 notes
### Top Results by Relevance
| Note | Match Type | Relevance | Last Modified |
|------|------------|-----------|---------------|
| [[Data Governance Framework]] | Title + Content | ⭐⭐⭐⭐⭐ | 2024-01-10 |
| [[BCBS239 Data Mapping]] | Tag + Content | ⭐⭐⭐⭐ | 2024-01-08 |
| [[2024-01-05 - Compliance Review]] | Backlink | ⭐⭐⭐ | 2024-01-05 |
| [[Book - Data Management]] | Semantic | ⭐⭐⭐ | 2023-12-15 |
**Total notes found:** 41 (showing top 20)
Step 3: Connection Analysis
Map relationships between found notes:
Shared Tags:
## Tag Overlap Analysis
Notes with multiple relevant tags:
- [[BCBS239 Data Mapping]] - #p/bcbs239, #domain/compliance, #r/data-governance
- [[Data Quality Standards]] - #domain/compliance, #r/data-governance, #tech/sql
Common tag combinations:
- domain/compliance + r/data-governance: 8 notes
- p/bcbs239 + domain/compliance: 5 notes
Link Clusters:
## Link Clusters
### Cluster 1: Regulatory Framework (Hub: [[BCBS239 Index]])
- [[BCBS239 Data Mapping]]
- [[Data Lineage Requirements]]
- [[Compliance Checklist]]
Connected by: 12 internal links
### Cluster 2: Technical Implementation (Hub: [[Data Governance Framework]])
- [[SQL Data Validation]]
- [[ETL Pipeline Design]]
- [[Data Quality Metrics]]
Connected by: 8 internal links
### Orphan Notes (relevant but not connected):
- [[Meeting - Data Council 2023-11-15]] - No outgoing links
- [[Book - Data Management]] - Not linked from project notes
Theme Patterns:
## Emerging Themes
Based on content analysis:
1. **Data Quality** - Mentioned in 15 notes
- Validation rules, quality metrics, monitoring
2. **Regulatory Compliance** - Mentioned in 12 notes
- BCBS239, data lineage, audit requirements
3. **Technical Implementation** - Mentioned in 8 notes
- SQL, ETL, pipelines, automation
Step 4: Generate Synthesis
Create a synthesized research summary:
## Research Synthesis: Data Governance
**Query:** "Everything I know about data governance"
**Notes Analyzed:** 41
**Date:** 2024-01-15
---
### Executive Summary
Your vault contains substantial knowledge about data governance, primarily centered around:
1. BCBS239 regulatory compliance work
2. Technical data quality implementation
3. Organizational data management frameworks
---
### Key Insights
#### 1. Regulatory Foundation
Your understanding of data governance is strongly anchored in BCBS239 requirements. Key notes:
- [[BCBS239 Data Mapping]] establishes the core data lineage requirements
- [[Compliance Checklist]] provides actionable implementation steps
- [[2024-01-05 - Compliance Review]] contains recent stakeholder feedback
**Quote:** "Data lineage must trace from source to report within 4 hops" - [[BCBS239 Data Mapping]]
#### 2. Technical Approach
You've documented several technical patterns:
- SQL-based validation in [[SQL Data Validation]]
- ETL design principles in [[ETL Pipeline Design]]
- Quality metrics framework in [[Data Quality Metrics]]
**Pattern observed:** Your technical notes focus on validation and monitoring, less on data modeling.
#### 3. Organizational Context
Meeting notes reveal organizational dynamics:
- [[Meeting - Data Council 2023-11-15]] - Stakeholder alignment challenges
- [[2023-12-01 - Data Ownership Discussion]] - Role clarity issues
---
### Knowledge Gaps
Areas where your vault has limited coverage:
1. **Data Modeling** - Few notes on conceptual/logical data models
2. **Data Catalog Tools** - No notes on tooling options
3. **Change Management** - Limited notes on rolling out governance
Consider:
- Creating [[Data Modeling Principles]] note
- Researching data catalog tools for [[Data Governance Framework]]
---
### Connection Opportunities
Notes that should be linked but aren't:
| Source | Should Link To | Reason |
|--------|----------------|--------|
| [[Book - Data Management]] | [[Data Governance Framework]] | Conceptual foundation |
| [[Meeting - Data Council]] | [[BCBS239 Index]] | Action items relate to project |
| [[ETL Pipeline Design]] | [[Data Lineage Requirements]] | Implementation of requirement |
---
### Sources
All notes referenced in this synthesis:
1. [[Data Governance Framework]] - Core framework document
2. [[BCBS239 Data Mapping]] - Regulatory mapping
3. [[BCBS239 Index]] - Project hub
4. [[Data Quality Metrics]] - Measurement framework
... (full list)
Step 5: Output Options
Offer output choices:
What would you like me to do with this research?
- Create Research Note - Save synthesis as new note in vault
- Update MOC - Add findings to existing Map of Content
- Create MOC - Generate new MOC for this topic (runs obs-mocs)
- Apply Link Suggestions - Add recommended connections (runs obs-backlinking)
- Export Summary - Copy synthesis for use elsewhere
Search Strategies
Keyword Variations
When searching, automatically include:
- Plural/singular variations
- Common abbreviations
- Synonyms from your tag taxonomy
Tag Exploration
Follow tag hierarchy:
domain/compliance
├── Specific: #p/bcbs239, #p/sox
└── Related: #r/data-governance, #r/audit
Backlink Depth
- Depth 1: Direct links to/from search results
- Depth 2: Notes that link to Depth 1 notes
- Depth 3: (Optional) Third-degree connections
Output Formats
Research Note
Saved to: 3-Resources/research/[Topic] - Research Synthesis.md
---
type: resource
tags: [r/research, domain/[topic]]
title: "[Topic] - Research Synthesis"
date created: YYYY-MM-DD HH:MM:SS
date modified: YYYY-MM-DD HH:MM:SS
sources: [list of source notes]
---
Quick Summary
For conversational use - not saved to vault.
MOC Addition
Adds findings to existing MOC with new section:
## Recent Research (2024-01-15)
### New Connections Found
- [[Note 1]] relates to [[Note 2]] via shared theme
After Research
- Review synthesis - Verify insights match your understanding
- Apply link suggestions - Run obs-backlinking on identified gaps
- Fill knowledge gaps - Create notes for identified missing areas
- Update MOCs - Keep navigation structures current
- Use the insights - Apply findings to your actual work
Key Principles
- Search broadly, synthesize deeply - Cast a wide net, then analyze
- Citations matter - Every insight should trace back to a note
- Connections are value - Finding links is as valuable as finding content
- Gaps are insights - What's missing tells you what to learn next
- Research serves action - Synthesis should enable better decisions
- Link density improves results - Run obs-backlinking first for best results
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon