Log investment decisions with structured templates and extract lessons into tasks/lessons.md.
npx skills add https://github.com/pynbj1001/alpha-sense --skill decisionlog
Please help me install this Agent Skill. Skill: DecisionLog Source: https://github.com/pynbj1001/alpha-sense/tree/main/skills/DecisionLog Command: npx skills add https://github.com/pynbj1001/alpha-sense --skill decisionlog
Decision-making in investing is prone to bias and memory decay. This Skill enforces immediate documentation of key decisions, including explicit assumptions and invalidation signals, creating a verifiable trail for learning and accountability.
Record a decision the moment it occurs, including the target, action, price, and any invalidation signals.
High-intent search queries and answers about installing and using this skill.
An investment decision log captures the target, action, price, position, core arguments, and testable hypotheses at the moment a decision is made. This creates a verifiable trail for learning and accountability by preventing memory decay and bias.
A post-mortem reflection analyzes past investment decisions against their original hypotheses and invalidation signals. It automatically extracts lessons into a dedicated file to enforce structured learning and improve ongoing investment workflows.
You record invalidation signals by defining explicit testable conditions that would invalidate your investment decision. Logging these conditions at the moment of action triggers mandatory reviews when those signals occur.
The best way to document investment decisions for post-mortem analysis is using structured templates with mandatory fields. This enforces immediate documentation of the target, action, price, position, and up to three core arguments for later verification.
Yes, this approach enforces a standardized file naming convention alongside versioned templates for decision logs and reflections. This ensures your investment decision logs are consistently organized and easily retrievable for post-mortem analysis.
Yes, you can automatically branch lessons from your decision logs and post-mortem reflections into a tasks and lessons file. This reflective learning mechanism allows for ongoing improvement of your investment workflows.
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