gooaye

Community

Turn podcast transcripts into actionable decision frameworks.

Authorthtang
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill turns Gooaye/股癌 podcast transcripts into structured, evidence-based investment and life/QA worldviews, so you can answer questions with corpus-wide logic and episode-date market alignment instead of repeating quotes.

Core Features & Use Cases

  • Daily transcript source syncing: keeps local canonical transcripts, SoundOn RSS metadata, and optional ASR fallbacks up to date.
  • Evidence-driven reasoning from distilled notes: prefers canonical per-episode distillation outputs and falls back to guided transcript processing when notes are missing.
  • Market-aligned analysis for investing: aligns episode dates to market regime snapshots and mentioned-asset context for ticker/sector questions.
  • Life/QA worldview retrieval: retrieves recurring relationship, career, family, anxiety/mental load, and decision frameworks from the corpus.
  • Aggressive mode support (style only): when explicitly requested, changes output style to a decisive trade call while preserving the same evidence standards.

Quick Start

Run the Gooaye skill to answer by automatically syncing the latest local sources, then using distilled episode notes and corpus retrieval to respond.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: gooaye
Download link: https://github.com/thtang/alpha-persona-lab/archive/main.zip#gooaye

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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