decision-journal

Record and review decisions with pre-decision entries and post-mortems.

558|75|Updated Dec 18, 2025

Search Tags:#workflow #analysis #decision #post-mortem #calibration #root-cause #log

Ready to run

npx skills add https://github.com/winstonkoh87/Athena-Public --skill decision-journal-winstonkoh87

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: decision-journal
Source: https://github.com/winstonkoh87/Athena-Public/tree/main/examples/skills/decision/decision-journal
Command: npx skills add https://github.com/winstonkoh87/Athena-Public --skill decision-journal-winstonkoh87

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pre-decision logging, post-decision reviews, and post-mortems to improve decision quality and calibration over time.

Core Features & Use Cases

Pre-decision entry with alternatives and confidence
Post-decision review to audit assumptions and calibration
Post-mortem with root-cause analysis and classification
Calibration tracking across decisions

Quick Start

Log a decision with a brief description, options considered, and your confidence level.

Frequently Asked Questions about decision-journal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is a decision journal and how does it improve calibration?▼

A decision journal records decisions before outcomes occur, capturing alternatives and confidence levels. Reviewing these logs later audits your assumptions and improves calibration by revealing patterns in decision-making accuracy over time.

How do I log a decision with alternatives and confidence levels?▼

To log a decision, enter a brief description, list the alternatives considered, and assign a confidence level to your chosen path. This structured pre-decision entry creates a baseline for later post-mortem review.

Can I use a post-mortem template for root-cause analysis on business decisions?▼

Yes, the post-mortem process supports business, product, trading, and strategy contexts. It applies root-cause classification to outcomes, helping you identify whether the issue was a bad process or flawed assumptions.

What is the best way to track calibration across past decisions?▼

The best way to track calibration is comparing your initial pre-decision confidence levels against actual outcomes during post-decision reviews. This structured logging reveals whether your confidence accurately predicts success over time.

Does decision logging work for trading and strategy workflows?▼

Decision logging works for trading and strategy workflows by applying structured pre-decision entry and post-decision review. It satisfies the need for accountability and root-cause analysis without requiring specific platform integrations.

When should I run a post-decision review instead of a full post-mortem?▼

Run a post-decision review to audit assumptions and calibration against the outcome, while a full post-mortem is reserved for deeper root-cause classification and analysis when a decision fails or underperforms significantly.