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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 source installs☆ 0 Repository stars

Installation

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Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/franklu0819-lang/pie
Version
—
Commit
5d46fdfbaf155b71b7fb26166fa3f2b6fe11ddcc
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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