
Research Patterns
- 18 installs
- 2 repo stars
- Updated February 12, 2026
- mindmorass/reflex
Helps with ai & agent building tasks.
About
research-patterns is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- research-patterns
- AI & Agent Building
- AI-coding skill
Research Patterns by the numbers
- 18 all-time installs (skills.sh)
- Ranked #10,710 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 18 |
|---|---|
| repo stars | ★ 2 |
| Last updated | February 12, 2026 |
| Repository | mindmorass/reflex ↗ |
What it does
Helps with ai & agent building tasks.
Files
Research Patterns
Patterns for finding and synthesizing information, with Qdrant-first retrieval.
Workflow
1. Check Stored Knowledge First
Before external research, query Qdrant:
Tool: qdrant-find
Query: "your search query"If relevant results exist, use them and cite the source metadata.
2. External Research If Needed
If stored knowledge is insufficient or outdated:
- Search official documentation
- Use WebSearch for current information
- Cross-reference multiple sources
3. Store Valuable Findings
For information worth persisting, use qdrant-store:
Tool: qdrant-store
Information: "<content>"
Metadata:
source: "<URL>"
type: "documentation"
harvested_at: "<ISO date>"Research Checklist
1. Query Qdrant - Always check stored knowledge first 2. Assess freshness - Check harvested_at metadata 3. Define gaps - What's missing or outdated? 4. Search externally - Find additional sources if needed 5. Evaluate - Assess source quality and relevance 6. Synthesize - Combine into coherent answer 7. Cite - Reference sources including Qdrant metadata 8. Store - Save valuable new findings to Qdrant
Best Practices
- Note data freshness in responses
- Cross-reference multiple sources
- Distinguish cached vs fresh information
- Keep stored documents focused (one topic each)