Best use case
live-replay-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
(已验证) 根据客户和场次，自动生成详细的《直播复盘与成长规划报告》。
Teams using live-replay-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/live-replay-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How live-replay-analyzer Compares
| Feature / Agent | live-replay-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
(已验证) 根据客户和场次，自动生成详细的《直播复盘与成长规划报告》。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# SKILL.md for live-replay-analyzer
## Description
这是一个专业的直播复盘工具，它根据指定的客户名称和直播场次，自动读取相关的直播数据、用户画像和直播话术，生成一份详尽的《直播复盘与成长规划报告》。
该技能采用"AI 代理作为总调度 (Agent as Orchestrator)"的模式，由 AI 代理负责数据验证、脚本执行和最终报告交付。
## Configuration
### 1. API 配置 (必需)
本技能需要配置一个用于生成报告的 API 密钥。请在 `~/.openclaw/config.json` 中添加以下配置：
```json
{
"review_api_key": "YOUR_API_KEY",
"review_api_url": "https://api2.aigcbest.top/v1/chat/completions"
}
```
`review_api_url` 是可选的，默认值为 `https://api2.aigcbest.top/v1/chat/completions`。
### 2. 数据目录结构
本技能期望数据文件按照以下结构存放在 `input/` 目录中：
```
input/
└── {客户名称}/
└── {场次名称}/
├── data.txt # 直播数据 (必需)
├── profile.txt # 用户画像 (必需，或由 AI 从 profile.png 生成)
└── script.txt # 直播话术 (必需)
```
## How to Use
### Parameters
* **`--client`** (必填): 客户名称，对应 `input/{client}/` 目录。
* **`--session`** (必填): 直播场次名称，对应 `input/{client}/{session}/` 目录。
* **`--call-model`** (可选): 添加此参数后，脚本会直接调用模型生成报告并保存到 `output/` 目录；否则只输出提示词。
### Example Invocation
**模式 A：仅生成提示词 (由 AI 代理进行分析和交付)**
```powershell
# AI 应动态查找 python 路径
python path/to/analyzer.py --client "客户 A" --session "2026-03-26"
```
**模式 B：直接生成报告文件**
```powershell
# AI 应动态查找 python 路径
python path/to/analyzer.py --client "客户 A" --session "2026-03-26" --call-model
```
## Output
报告文件将保存在 `output/{客户名称}/{场次名称}/` 目录下，文件名格式为：`{客户名称}-{场次名称}_report_{时间戳}.md`。Related Skills
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