소스 정보
- 저장소
- majiayu000/claude-skill-registry
- 최근 소스 활동
- 2026년 6월 23일 12:15
- 감지된 SKILL.md 언어
- 영어
- 스타
- 543
- 포크
- 85
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/majiayu000/claude-skill-registry --skill relevant-learnings명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据,按主题分组汇总"我都做了什么",并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
SOC 직업 분류 기준
SKILL.md 표시 중
| name | relevant-learnings |
| description | Find past learnings applicable to current work |
| argument-hint | ["topic or situation"] |
Search the learnings index for wisdom from past experiences that applies to current work.
Phase 6: Learning & Adaptation - This skill surfaces learnings to inform new work.
Prerequisites: Learnings captured from retrospectives and outcome reviews Outputs used by: All phases (applies institutional knowledge to new work)
The organization accumulates learnings from retrospectives, outcome reviews, and decision audits. This skill surfaces relevant learnings before repeating past mistakes or missing known opportunities.
Invoke /relevant-learnings [topic] when:
Accept a topic, situation, or question with optional flags:
/relevant-learnings pricing strategy/relevant-learnings launching to enterprise/relevant-learnings team scaling challenges --include-demo/relevant-learnings customer churn --demo-onlyFlags:
--include-demo - Include demo learnings (marked with [DEMO])--demo-only - Show only demo learnings (for testing/learning)Before searching, determine if production learnings exist:
Check context/learnings/index.md for non-demo entries
Apply demo filtering rule:
| Production Data? | Flag | Behavior |
|---|---|---|
| No | (any) | Include demo with [DEMO] markers |
| Yes | (none) | Exclude demo data, show excluded count |
| Yes | --include-demo | Include demo with [DEMO] markers |
| (any) | --demo-only | Only demo data |
Demo data is identified by:
L-DEMO-001)Read context/learnings/index.md and search for:
Prioritize learnings by:
## Relevant Learnings: [Topic]
*Found [N] learnings related to "[topic]"*
### Highly Relevant
#### L-[NNN]: [Learning Title]
- **Learning**: [Clear statement of what was learned]
- **Source**: [Retrospective/Outcome Review] for [ID]
- **Date**: [When captured]
- **Confidence**: [High/Medium/Low]
- **Context**: [Brief background]
- **Application**: [How to apply this now]
[Repeat for top 3-5 highly relevant]
### Also Related
| ID | Learning | Source | Confidence |
|----|----------|--------|------------|
| L-[NNN] | [Brief learning] | [Source] | [Confidence] |
[List additional related learnings]
### Patterns Observed
Based on these learnings, common patterns emerge:
- [Pattern 1]
- [Pattern 2]
### Recommendations
For your current work on [topic]:
1. [Recommendation based on learnings]
2. [Recommendation based on learnings]
3. [Recommendation based on learnings]
### Learnings to Validate
Some learnings may need re-validation for your context:
- L-[NNN]: [Learning] — Consider validating because: [Reason]
If user wants more detail on any learning:
context/learnings/index.md## Relevant Learnings: [Topic]
No learnings found for "[topic]" in the learnings index.
This could mean:
1. This is a new area without documented learnings
2. Try different keywords: [suggest alternatives]
3. The learnings index may need to be updated
**Recommendation**: After completing work in this area, use `/retrospective` to capture learnings for future reference.
Learnings are categorized as:
Use category context to improve recommendations.