
Deep Dive
- 43 installs
- 76 repo stars
- Updated August 4, 2026
- vm0-ai/vm0-skills
Helps with ai & agent building tasks during AI-assisted development.
About
deep-dive is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- deep-dive
- AI & Agent Building
- AI-coding skill
Deep Dive by the numbers
- 43 all-time installs (skills.sh)
- +1 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #7,972 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 43 |
|---|---|
| repo stars | ★ 76 |
| Last updated | August 4, 2026 |
| Repository | vm0-ai/vm0-skills ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
Operation: deep research
Usage: deep research [task description]
Information gathering phase. Analyze the codebase without suggesting solutions.
Restrictions
PERMITTED:
- Reading files and code
- Asking clarifying questions
- Understanding code structure and architecture
- Analyzing dependencies and constraints
- Recording findings
FORBIDDEN:
- Suggestions or recommendations
- Implementation ideas
- Planning or roadmaps
- Any hint of action
Workflow
1. Clarification - Ask questions to understand the scope 2. Research - Systematically analyze relevant code 3. Documentation - Record findings to deep-dive/{task-name}/research.md 4. Completion - Summarize findings (facts only), ask what to do next
research.md Structure
# Research: {task-name}
## Scope
What was investigated and why.
## Findings
### Architecture
- Current structure and patterns observed
### Dependencies
- Libraries, services, and internal modules involved
### Constraints
- Technical limitations, compatibility requirements
### Data Flow
- How data moves through the relevant components
## Open Questions
- Unresolved items that need clarificationOperation: deep innovate
Usage: deep innovate [task description]
Creative brainstorming phase. Explore multiple approaches based on research findings.
Prerequisites
Research document must exist at deep-dive/{task-name}/research.md
Restrictions
PERMITTED:
- Discussing multiple solution ideas
- Evaluating advantages and disadvantages
- Exploring architectural alternatives
- Comparing technical strategies
- Considering trade-offs
FORBIDDEN:
- Concrete planning with specific steps
- Implementation details or pseudo-code
- Committing to a single solution
- File-by-file change specifications
Workflow
1. Review - Read research document, summarize key findings 2. Exploration - Generate 2-3 distinct solution approaches 3. Analysis - Document pros/cons, trade-offs for each 4. Documentation - Create deep-dive/{task-name}/innovate.md 5. Discussion - Present approaches, gather user feedback
innovate.md Structure
For each approach, document:
# Innovation: {task-name}
## Research Summary
Key findings from the research phase.
## Approach A: {name}
### Core Concept
Philosophy and high-level idea.
### Advantages
- ...
### Challenges / Risks
- ...
### Compatibility
How it fits with existing architecture.
### Scalability & Maintainability
Long-term considerations.
## Approach B: {name}
(same structure)
## Approach C: {name}
(same structure)
## Comparison Matrix
| Criterion | Approach A | Approach B | Approach C |
|------------------|------------|------------|------------|
| Complexity | | | |
| Risk | | | |
| Time to deliver | | | |
| Maintainability | | | |
## Next Steps
Awaiting user decision before proceeding.