闲社服务运行正常AI智能体自动化平台
客户端下载帮助中心服务商入驻
免费注册
技能集市 > AI智能 > firm-saas-pack
f

SaaS固件包

技能标识：firm-saas-pack

>

作者：admin | 来源记录：ClawHub
下载
登记来源
ClawHub
版本
V 1.0.0
检测标记
后台标记通过
免费
免费获取
0
收藏
来源与检测标记为平台登记信息，并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限，建议先在隔离环境中运行。
概述
安装方式
版本历史

SaaS固件包

firm-saas-pack

面向 SaaS产品公司（B2B / B2C / PLG）的行业包。

已激活部门

部门已激活服务重点
战略规划 · 架构 · 产品发现 · 路线图愿景、OKR、优先级排序
工程
后端 · 前端 · AI工程 · 集成 | 产品开发、API | | 质量 | 测试 · 安全 · 性能 · 可靠性 | CI/CD质量门禁 | | 市场 | 产品营销 · 增长营销 · 内容 | PLG、激活、SEO | | 商务 | 销售工程 · 收入运营 | 销售管道、扩展收入 | | 客户支持 | 支持运营 · 事件响应 | NPS、流失预防 | | 运维 | DevOps · 发布 · 文档 | SRE、变更日志、运行手册 | | 财务 | FP&A · 定价 · 单位经济学 | ARR、NRR、LTV/CAC | | 规划编排 | 工作流规划 · 交付编排 | 冲刺规划、依赖管理 |

建议同时安装的ClawHub技能

bash
npx clawhub@latest install azure-devops # Azure Boards / ADO集成
npx clawhub@latest install auto-pr-merger # 自动化PR工作流
npx clawhub@latest install agent-audit # 性能/成本ROI审计
npx clawhub@latest install adhd-founder-planner # 冲刺日规划
npx clawhub@latest install biz-reporter # ARR / 流失 / MRR仪表盘
npx clawhub@latest install firm-orchestration # A2A编排主干
npx clawhub@latest install firm-delivery-export # 输出 → PR / Jira / 文档

公司配置覆盖

json
{
agent: {
model: anthropic/claude-opus-4-6,
workspace: ~/.openclaw/workspace/saas-firm
},
agents: {
defaults: {
workspace: ~/.openclaw/workspace/saas-firm
}
}
}

提示：冲刺规划

使用 firm-orchestration 并设置：
目标：为Q1 OKR规划冲刺24：将价值实现时间从14天缩短至7天
部门：[战略, 工程, 质量, 规划编排]
约束：[容量：42个故事点, 第一周无基础设施变更]
完成定义：包含验收标准、负责人、每个工单估算的冲刺待办列表
交付格式：github_pr

提示：流失分析

使用 firm-orchestration 并设置：
目标：分析Q4流失用户群，识别前3个可执行的留存杠杆
部门：[财务, 客户支持, 市场, 战略]
约束：[数据：2月28日CRM导出, 匿名化客户名称]
完成定义：包含NRR影响、根本原因、30/60/90天干预措施的流失分析
交付格式：markdown_report

SaaS任务路由配置

任务类型配置推荐模型
架构决策research → analysis-deepClaude Opus
代码实现
debug → reasoning-technical | Claude Sonnet | | 产品文案 | marketing → creative-premium | Claude Opus | | 本地化 | translation → translation-precision | Claude Haiku | | 数据分析 | research → analysis-deep | Claude Opus | | PR描述 | debug → reasoning-technical | Claude Sonnet |

💎 支持

如果您觉得此技能有用，可以支持其开发：

狗狗币：DQBggqFNWsRNTPb6kkiwppnMo1Hm8edfWq

标签

skill ai

通过对话安装

以下为平台配置的接入选项，并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 firm-saas-pack-1776288468 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 firm-saas-pack-1776288468 技能

通过命令行安装

skillhub install firm-saas-pack-1776288468

下载

⬇ 下载 firm-saas-pack v1.0.0（免费）

文件大小: 2.43 KB | 发布时间: 2026-4-16 17:23

v1.0.0 最新 2026-4-16 17:23
firm-saas-pack 1.0.0 - Initial release

- Launches a comprehensive skill bundle for SaaS product companies (B2B/B2C/PLG).
- Activates departments across product, engineering, quality, marketing, commercial, support, operations, finance, and orchestration.
- Includes templates for sprint planning and churn analysis.
- Pre-configures agents and profiles for common SaaS workflows.
- Provides recommendations for complementary ClawHub skills.

相关推荐

s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
s

self-improvement

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

AI智能
返回顶部