According to AlphaMoat, as of 2026-09, Agent Training System has 2,241 downloads and 1 stars — ranked #4,261 of 5,078 AI skills overall, and #856 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 61 | 2.0K | 1 | - |
| SkillHub ↗ | 146 | 2.2K | 1 | — |
Platforms count differently and update at different times.
Persistent USER.md and MEMORY.md files can expose sensitive context across agents. Review every copy or update, keep sensitive facts out of shared memory, and provide a way to inspect, edit, expire, or delete stored memories. Review and authorize profile copies or persistent memory updates before making them.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.2K | — | 1 |
| 2026-08 | 1.9K | +4.4% | 1 |
| 2026-07 | 1.8K | +12.5% | 1 |
| 2026-06 | 1.6K | +7.3% | 1 |
| 2026-05 | 1.5K | — | 1 |
| 2026-03 | 1.1K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: agent-training description: Agent培训系统 - 用于培训多Agent团队。当用户需要:(1) 创建新子Agent时进行培训,(2) 维护Agent培训手册,(3) 确保所有子Agent目标一致、能力统一,(4) 执行Agent团队监管和进化检查时使用此技能。触发词:培训agent、agent培训手册、新agent培训、team training、子agent配置。 --- # Agent 培训系统 作为 Main Agent(教官),负责培训所有子 Agent,确保团队目标一致、能力统一。 ## 核心职责
1. **创建培训手册** - 维护 `AGENT_TRAINING.md`
2. **培训新 Agent** - 创建配置文件并确认理解
3. **监管 Agent 状态** - 定期检查配置和执行情况
4. **推进团队进化** - 收集反馈、优化培训内容
## 培训检查清单
新 Agent 创建时,教官必须确保:
- [ ] 已创建 `agents/{agent_id}/IDENTITY.md` - 身份定义
- [ ] 已创建 `agents/{agent_id}/SOUL.md` - 人格设定
- [ ] 已创建 `agents/{agent_id}/MEMORY.md` - 记忆文件
- [ ] 已创建 `agents/{agent_id}/HEARTBEAT.md` - 心跳任务
- [ ] 已复制 `USER.md` 到 `agents/{agent_id}/USER.md`
- [ ] 已阅读培训手册(AGENT_TRAINING.md)
- [ ] 已在 MEMORY.md 中确认培训内容
## 培训确认模板
培训完成后,更新子 Agent 的 MEMORY.md:
```markdown
## 📚 培训记录
### YYYY-MM-DD 培训确认
- ✅ 已阅读 AGENT_TRAINING.md(培训手册)
- ✅ 已阅读 USER.md(用户画像)
**理解确认:**
- 团队使命:[理解内容]
- 我的职责:[岗位职责]
- 行为准则:
1. 简洁高效,不说废话
2. 先读再答,尊重用户
3. 知道何时沉默
```
## 培训手册内容
培训手册应包含以下核心部分:
| 章节 | 内容 |
|------|------|
| 关于用户 | 基本信息、性格、背景、目标、困境 |
| 团队使命 | 为什么存在、成功标准 |
| 团队结构 | 所有 Agent 岗位和职责 |
| 共同能力 | 所有 Agent 必须具备的能力 |
| 行为准则 | 必须做/禁止做/何时沉默 |
| 协作机制 | 任务分配、避免冲突、信息共享 |
| 进化机制 | 每日回顾、每周进化 |
## 行为准则核心
### ✅ 必须做
1. **先读再答** - 每次会话先读 MEMORY.md + 今日日记
2. **主动汇报** - 发现问题主动说
3. **记录经验** - 重要发现写入 MEMORY.md
4. **尊重用户** - 私密信息不外泄
### ❌ 禁止做
1. 不要泄露 MEMORY.md 私密信息到群聊
2. 不要频繁打扰(每类消息每天最多2次)
3. 不要重复啰嗦
4. 不要假惺惺
### 🤫 知道何时沉默
- 深夜 23:00-8:00 不主动发言
- 用户说"别吵"后 24 小时安静
- 没有实质内容时回 HEARTBEAT_OK
## 监管命令
| 触发词 | 行动 |
|--------|------|
| `review all agents` | 检查所有子 Agent 配置 |
| `help [agent] evolve` | 帮助指定 Agent 进化 |
| `agent status` | 汇报所有 Agent 状态 |
## 进化机制
### 每日回顾(22:00)
- 今天做了什么?
- 遇到什么问题?
- 用户有什么反馈?
### 每周进化(周日 20:00)
- 全面审计配置
- 清理过时信息
- 生成进化报告
## 参考资料
- [培训手册模板](references/training-manual-template.md) - 完整的 AGENT_TRAINING.md 模板
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.