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pie

Personal Insight Engine (PIE) - A strategic analysis tool that scans local session logs (memory/*.md) and extracts 3 strategic insights using LLMs.

franklu0819-lang0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install franklu0819-lang/pie

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

PIE (Personal Insight Engine)

Analyze your startup journey by distilling strategic patterns from your memory logs.

Setup

1. Configure API Keys: Ensure you have at least one of these in your .env or system environment:

  • ZHIPU_API_KEY (Default for GLM)
  • GEMINI_API_KEY (Alternative)

2. Dependencies: Requires openai and python-dotenv python packages.

Usage

Run Weekly Review

By default, scans the last 7 days of memory files:

python3 scripts/pie.py
Custom Lookback

Scan a specific number of days (e.g., last 30 days):

python3 scripts/pie.py --days 30

How it works

  1. Discovery: Scans memory/ for recent Markdown files.
  2. Cleaning: Strips JSON metadata and system headers.
  3. Synthesis: Uses LLM to extract 3 core insights (Decision Patterns, Pain Points, Pivots).
  4. Output: Prints a formatted Markdown report.

Developed by Cipher using OpenSpec.

来源信息

Source
github
Repository
openclaw/skills
Path
skills/franklu0819-lang/pie
Version
—
Commit
5d46fdfbaf155b71b7fb26166fa3f2b6fe11ddcc
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# PIE (Personal Insight Engine)

Analyze your startup journey by distilling strategic patterns from your memory logs.

## Setup

**1. Configure API Keys:**
Ensure you have at least one of these in your `.env` or system environment:
- `ZHIPU_API_KEY` (Default for GLM)
- `GEMINI_API_KEY` (Alternative)

**2. Dependencies:**
Requires `openai` and `python-dotenv` python packages.

## Usage

### Run Weekly Review
By default, scans the last 7 days of memory files:

```bash
python3 scripts/pie.py
```

### Custom Lookback
Scan a specific number of days (e.g., last 30 days):

```bash
python3 scripts/pie.py --days 30
```

## How it works

1. **Discovery**: Scans `memory/` for recent Markdown files.
2. **Cleaning**: Strips JSON metadata and system headers.
3. **Synthesis**: Uses LLM to extract 3 core insights (Decision Patterns, Pain Points, Pivots).
4. **Output**: Prints a formatted Markdown report.

---
*Developed by Cipher using OpenSpec.*

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