Install
$ agentstack add skill-maojiebc-majia-siyu-team-conversion-caliber ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
转化口径定义库(UV→加微→首单→复购)
Overview
对齐方法论引擎「运营即广告」。本 skill 给方法论框架;具体话术/阈值/配比是马甲护城河,标【待马甲填真实SOP】。
方法框架(行业通行版,真实阈值见护城河注入点)
转化口径的价值不在漂亮数字,在能对账、能复盘。每一跳都定义清楚再谈优化。
- 每跳写死分子 / 分母 / 时间窗:加微率 = 加微数 ÷ 什么(进店 UV?扫码曝光?)÷ 什么周期。分母不同,同一个「加微率」能差好几倍。
- 区分累计与周期:会员数、加微数默认是累计量;转化率、活跃度是周期量。大数(如「累计 X 万会员」)一定带约束条件,别拿累计充当月活。
- 漏斗逐跳看,不看总转化:UV→加微→首单→复购,哪一跳掉得最狠,问题就在那跳,别笼统说「转化低」。
- 口径先于工具:先把口径定义写清,再谈接 BI 埋点;口径没定就埋点,埋出来的也是糊涂账。
> 各行业各阶段的真实基准值、健康区间是马甲护城河,标【待马甲填真实SOP】,由本人注入。
交付模板
| 动作 | 触发人群 | 话术/物料 | 时间点 | 责任人 | 可埋点指标 | 风险兜底 | |---|---|---|---|---|---|---| | 示例 | 待填 | 待填 | 待填 | 待填 | 待填 | 待填 |
成功指标(可埋点,对接某 BI 平台)
- 待填(须写清分子/分母/时间窗)
合规约束(合规官会查)
- 不诱导分享 / 不绝对化用词 / 不未授权收集个人信息 / 裂变走企微官方路径
不知道下一步用哪个 skill?
输入 /siyu。
这是私域工具箱的导航入口。它会读取刚才的具体结论,选择当前最值得处理的一个方向, 并直接路由到对应 skill。迷路了就回 /siyu。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: maojiebc
- Source: maojiebc/majia-siyu-team
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.