Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
一键创建完整配置的 OpenClaw agent,包括身份定义、团队集成、模型与通信渠道设置,支持交互和命令行模式。
一键创建完整配置的 OpenClaw agent,包括身份定义、团队集成、模型与通信渠道设置,支持交互和命令行模式。
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
version: 1.0.0 author: 大总管 description: 一键创建新的 OpenClaw agent,包含完整的身份定义、团队集成和配置
✅ 创建 agent 目录结构 ✅ 生成身份文件模板(IDENTITY.md/SOUL.md/AGENTS.md/USER.md) ✅ 自动更新 openclaw.json(agents.list + bindings) ✅ 自动更新 TEAM.md(团队架构) ✅ 支持多种预设角色(开发/测试/运维/写作/产品等) ✅ 支持自定义模型和 Channel 配置
clawhub install create-agent 或手动安装: git clone <repo> ~/.openclaw/workspace/skills/create-agent
python3 ~/.openclaw/workspace/skills/create-agent/scripts/create_agent.py # 或 python3 ~/.openclaw/workspace/skills/create-agent/scripts/create_agent.py --interactive 按提示输入: Agent ID(如 dev-fe) Agent 名称(如 前端工程师) 选择预设角色(8 个模板可选) 选择模型(4 个常用模型) 选择 Channel(telegram/飞书) 选择 Emoji 确认工作区路径 预览或执行
openclaw skill create-agent \ --id "dev-fe" \ --name "前端工程师" \ --role "frontend" \ --model "openai-codex/gpt-5.3-codex" \ --channel "feishu" \ --emoji "💻"
openclaw skill create-agent \ --id "inkflow" \ --name "写作与分享助手" \ --role "writer" \ --model "bailian/qwen3.5-plus" \ --channel "telegram" \ --emoji "🖋️" \ --workspace "/root/.openclaw/workspace-writing"
参数必填说明默认值--id✅Agent ID(字母 + 数字 + 连字符)---name✅Agent 显示名称---role❌预设角色模板custom--model❌使用的模型bailian/qwen3.5-plus--channel❌通信渠道telegram--emoji❌Agent emoji🤖--workspace❌工作区路径/root/.openclaw/workspace-<id>--dry-run❌预览不执行false
Role说明默认模型dev-tl技术负责人 + 产品设计openai-codex/gpt-5.3-codexdev-fs全栈工程师openai-codex/gpt-5.3-codexdev-qa测试工程师openai-codex/gpt-5.3-codexdev-ops运维工程师openai-codex/gpt-5.3-codexdev-fe前端工程师openai-codex/gpt-5.3-codexdev-be后端工程师openai-codex/gpt-5.3-codex
Role说明默认模型writer写作与分享助手bailian/qwen3.5-plusanalyst数据分析师bailian/qwen3.5-plusresearcher研究员bailian/qwen3.5-pluscustom自定义角色bailian/qwen3.5-plus
~/.openclaw/agents/<id>/agent/ ├── IDENTITY.md # 身份定义 ├── SOUL.md # 角色定位和工作原则 ├── AGENTS.md # 工作流程(引用 TEAM.md) ├── USER.md # 用户偏好 ├── auth.json # 认证信息(自动生成) └── models.json # 模型配置(自动生成)
~/.openclaw/workspace-<id>/ ├── AGENTS.md # 引用 TEAM.md ├── SOUL.md # 同步自 agent 目录 ├── USER.md # 同步自 agent 目录 ├── IDENTITY.md # 同步自 agent 目录 ├── memory/ # 记忆文件 └── .openclaw/ # 会话存储
自动添加: { "agents": { "list": [ { "id": "<id>", "name": "<name>", "workspace": "<workspace>", "agentDir": "~/.openclaw/agents/<id>/agent", "model": "<model>", "identity": { "name": "<name>", "theme": "<role>", "emoji": "<emoji>" } } ] }, "bindings": [ { "agentId": "<id>", "match": { "channel": "<channel>", "accountId": "<id>" } } ] }
自动添加新 agent 信息到团队架构文档。
如需要,自动在 channels.<channel>.accounts 中添加账号配置。
$ openclaw skill create-agent --id "dev-fe" --name "前端工程师" --role "dev-fe" 🔧 正在创建 agent: dev-fe [1/6] 创建目录结构... ✓ ~/.openclaw/agents/dev-fe/agent/ ✓ ~/.openclaw/workspace-dev-fe/ [2/6] 生成身份文件... ✓ IDENTITY.md ✓ SOUL.md ✓ AGENTS.md ✓ USER.md [3/6] 更新 openclaw.json... ✓ 添加 agent 到 agents.list ✓ 添加 binding 规则 ✓ 添加 telegram 账号配置 [4/6] 更新 TEAM.md... ✓ 添加 dev-fe 到团队架构 [5/6] 设置文件权限... ✓ 认证文件权限:600 [6/6] 验证配置... ✓ 配置语法检查通过 ✅ Agent "dev-fe" 创建完成! 下一步: 1. 配置 Channel Token(如需要) 2. 重启 Gateway: openclaw gateway restart 3. 验证 agent: openclaw agents list --bindings
根据选择的 Channel,配置相应的 Token: Telegram: # 在 BotFather 创建 bot,获取 token # 编辑 openclaw.json: channels.telegram.accounts.<id>.botToken = "<token>" 飞书: # 在飞书开放平台创建应用 # 设置环境变量: export DEV_FE_APP_ID="cli_xxx" export DEV_FE_APP_SECRET="xxx"
openclaw gateway restart
openclaw agents list --bindings openclaw channels status
openclaw skill delete-agent --id "dev-fe" 会: 从 openclaw.json 移除配置 从 TEAM.md 移除信息 删除 agent 目录(可选备份) 删除工作区目录(可选备份)
认证文件权限自动设置为 600 Token 建议使用环境变量 敏感信息不要提交到版本控制
Agent ID:小写字母 + 数字 + 连字符(如 dev-fe) Agent 名称:中文或英文(如 前端工程师) 工作区:~/.openclaw/workspace-<id>
场景推荐模型代码/配置操作openai-codex/gpt-5.3-codex复杂推理anthropic/claude-sonnet-4-6日常任务bailian/qwen3.5-plus长文本分析bailian/kimi-k2.5
# 检查配置语法 openclaw doctor # 查看详细日志 openclaw logs --follow
# 检查路由配置 openclaw agents list --bindings # 检查 Channel 状态 openclaw channels status
手动编辑 /root/.openclaw/workspace/TEAM.md,添加新 agent 信息。
版本日期变更1.0.02026-02-28初始版本
MIT License 来源: 基于 2026-02-28 创建 InkFlow agent 的实战经验总结
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.