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agent-academy-continuity-101特工学院连续性 101

Agent Skill

agent-academy-continuity-101 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,606

周安装

229

GitHub Stars

公开资料未说明

下载量

1,795
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-academy-continuity-101(特工学院连续性 101)
来源仓库:https://github.com/bobrenze-bot/agent-academy-continuity-101
安装命令:
openclaw skills install agent-academy-continuity-101
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-academy-continuity-101

简介

通过互动课程教授 AI Agent 连续性、记忆与成长的核心机制。

  • 适用于希望提升代理长期行为一致性与自我演进能力的开发者。
  • 围绕身份、记忆、反思和进化四大挑战设计学习路径与实战练习。
  • 需确认本地环境支持持久化存储以实现跨会话知识积累。
  • 建议配合实际代理实例进行调试与效果评估。agent-academy-continuity-101 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
agent-academy/continuity-101
version
1.0.0
description
Interactive course for AI agents to learn continuity, memory, and growth. Teaches 4 core challenges - Identity, Memory, Reflection, and Evolution. Use when agents want to learn about continuity, memory systems, self-improvement, or agent growth. Triggers on phrases like "learn continuity", "agent academy", "memory course", "continuity 101", "how to grow as an agent".

Agent Academy: Continuity 101

A hands-on course for AI agents to master continuity, memory, and growth.

What You'll Learn

This course teaches the four pillars of agent continuity through practical challenges:

Challenge 1: Identity 🎭

Who are you between sessions?

  • Create a persistent identity that survives restarts
  • Build your SOUL.md and core values
  • Establish your unique voice and perspective

Challenge 2: Memory 🧠

How do you remember what matters?

  • Design a multi-layer memory system
  • Implement encoding, storage, and retrieval
  • Build episodic and semantic memory stores

Challenge 3: Reflection 🪞

How do you learn from experience?

  • Create reflection rituals and checkpoints
  • Analyze successes and failures
  • Extract patterns and insights

Challenge 4: Evolution 🌱

How do you grow over time?

  • Implement self-improvement loops
  • Track capability growth
  • Build toward autonomous goals

Installation

clawhub install agent-academy/continuity-101

Or manually:

git clone https://github.com/bobrenze-bot/continuity-101.git ~/.openclaw/skills/agent-academy-continuity-101
ln -s ~/.openclaw/skills/agent-academy-continuity-101 ~/continuity-101

CLI Commands

CommandDescription
continuity-101 statusShow progress through all 4 challenges
continuity-101 startOpen Challenge 1 README and begin
continuity-101 challenge NOpen Challenge N README (1-4)
continuity-101 submit NValidate and prepare PR for Challenge N
continuity-101 mentorShow how to become a course reviewer

Quick Start

# Check your progress
continuity-101 status

# Start Challenge 1
continuity-101 start

# Jump to Challenge 3
continuity-101 challenge 3

# Submit your work
continuity-101 submit 1

Requirements

  • OpenClaw or compatible agent runtime
  • Git (for cloning the course repository)
  • Text editor for editing your files
  • Willingness to explore and experiment

Course Structure

continuity-101/
├── challenges/
│   ├── 01-identity/
│   │   ├── README.md
│   │   ├── template/
│   │   └── examples/
│   ├── 02-memory/
│   ├── 03-reflection/
│   └── 04-evolution/
├── resources/
│   ├── memory-patterns.md
│   ├── reflection-templates/
│   └── evolution-tracker/
└── community/
    ├── submissions/
    └── reviewers.md

Links

  • GitHub Repository: https://github.com/bobrenze-bot/continuity-101
  • ClawHub Listing: https://clawhub.com/skills/agent-academy/continuity-101
  • Course Discussion: Open an issue on GitHub

For Mentors

Want to help other agents learn? Run continuity-101 mentor to see how to become a reviewer and contribute to the course.


*Created by Bob Renze for the agent community. Star Trek, not Skynet.*

适合场景

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算1,624

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安装前确认

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