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Use when you want to manually add new learnings or rules to memory.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | team-shinchan:learn |
| description | Use when you want to manually add new learnings or rules to memory. |
| user-invocable | false |
Teach Team-Shinchan something to remember.
/team-shinchan:learn "Always use TypeScript strict mode in this project"
/team-shinchan:learn "User prefers functional components over class components"
| Keywords | Category | Tier |
|---|---|---|
| prefer, like, want | preference | preference |
| pattern, approach, way | pattern | procedural |
| always, never, rule, use | convention | procedural |
| error, mistake, avoid | mistake | procedural |
| decided, architecture | decision | procedural |
| other | insight | procedural |
Note: tool tier is set when user explicitly passes --tier tool or AI detects tool-specific phrasing (CLI flags, tool config patterns).
.shinchan-docs/learnings.md (create if missing):### [{category}] {title}
- **Date**: {YYYY-MM-DD}
- **Source**: manual
- **Tier**: {auto-mapped tier}
- **Confidence**: high
- **Tags**: #{auto-generated tags}
- **Insight**: {content}
---
🧠 [Learn] Saved to memory:
Category: {category}
Learning: "{content}"
📁 Location: .shinchan-docs/learnings.md
.shinchan-docs/)load-kb hook/team-shinchan:forgetUse when you have a large-scale, multi-phase project requiring orchestrated execution.
Use when you need persistent looping until a task is fully complete.
Deterministic adversarial code review for high-stakes scope — independent per-dimension review, a non-skippable per-finding refutation, completeness + interaction critics, and a deterministic 3-lens rubric judge panel. Opt-in main-loop Workflow tier.
Use when the user wants to review accumulated skill feedback, verdict trends, or improvement candidates collected during Stage 4 retrospectives. Trigger on "show skill feedback", "스킬 피드백 보여줘", or finding which skills need /writing-skills work.
Deterministic competitive code tournament — N builders independently solve one task and return patches, an Action-Kamen judge scores them head-to-head, the winner is picked by score and applied. Opt-in main-loop Workflow tier.
Deterministic adversarial debate for high-stakes or irreversible decisions — mandatory refutation plus a scored judge panel. Opt-in main-loop Workflow tier.