Deep dive

Skill Joonghyun-Lee-Frieren/oh-my-antigravity/skills/deep-dive

Context-engineering-powered multi-agent team workflow pack for Antigravity CLI.

Install

npx -y skills add Joonghyun-Lee-Frieren/oh-my-antigravity --skill deep-dive

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

1.7 KB, as published. Nobody here has run it

Purpose

Use this skill when requirements are incomplete, conflicting, or too vague to begin implementation safely.

Trigger

User asks for implementation but goals/constraints are still unclear
Multiple interpretations exist for scope, acceptance criteria, or architecture direction
Team needs a compact interview artifact before /oma:team-plan or /oma:team-prd

Workflow

Trace known facts from the request and current repository context.
Compute a simple clarity score (low, medium, high) for implementation readiness.
Run a structured interview pass:
- essential questions (must answer before planning)
- standard questions (quality/cost/risk tuning)
- deep questions (edge-case and long-term maintainability)
Record assumptions explicitly and mark each as validated, pending, or risky.
Produce a launch brief that can be consumed by planning/execution stages.
If filesystem tools are available, update:
- .omg/state/interview-context.json
- .omg/state/launch-brief.md

Output Template

## Clarity Score
- level: low|medium|high
- rationale: ...

## Known Facts
- ...

## Open Questions
1. ...
2. ...

## Assumption Ledger
| Assumption | Status (validated/pending/risky) | Validation Path |
| --- | --- | --- |
| ... | ... | ... |

## Launch Brief
- objective:
- boundaries:
- acceptance hints:
- recommended next command:

Notes

Keep output concise and operator-facing.
Do not start coding when essential interview questions are unresolved.
This skill remains extension-native (prompt/state level), without external daemons or runtime wrappers.