用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/majiayu000/claude-skill-registry --skill growth-learning命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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。
基于 SOC 职业分类
正在显示 SKILL.md
| name | Growth & Learning |
| tier | 4 |
| load_policy | conditional |
| description | Analytics, feedback processing, and continuous improvement |
| version | 1.0.0 |
The Feedback Loop That Makes Us Better
This tier contains skills for analyzing performance and improving future sessions.
Process feedback, analyze metrics, and continuously improve the Dreamweaving system.
This tier loads conditionally when:
| Skill | Location | Purpose |
|---|---|---|
| Analytics Learning | analytics-learning/ | Process YouTube metrics |
| Feedback Integration | feedback-integration/ | Extract insights from comments |
Session Published
↓
Analytics Collected (30-90 days)
↓
Lessons Extracted
↓
Knowledge Base Updated
↓
Applied to Next Session
↓
[Repeat]
| Category | Metrics |
|---|---|
| Engagement | Views, likes, comments, shares |
| Retention | Average view duration, retention % |
| Growth | Subscribers gained, impressions |
| Quality | Like ratio, comment sentiment |
| Metric | Good | Average | Needs Work |
|---|---|---|---|
| Retention (30 min) | >50% | 30-50% | <30% |
| Like Ratio | >8% | 4-8% | <4% |
| Comment Rate | >1% | 0.5-1% | <0.5% |
| Sub Conversion | >2% | 1-2% | <1% |
| File | Purpose |
|---|---|
knowledge/lessons_learned.yaml | Accumulated insights |
knowledge/best_practices.md | Evolving standards |
knowledge/analytics_history/ | Historical data |
# Process analytics for a session
/learn-analytics session-name
# Analyze comments
/learn-comments session-name
# Review code quality
/review-code
# Show accumulated lessons
/show-lessons
When creating new sessions:
lessons_learned.yaml firstsession_learnings_systemdocs/CANONICAL_WORKFLOW.md (learning section)