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flashback

Aggregate a ticker's research and trading history into a date-ordered investment timeline.

Updated Aug 23, 2026
Search Tags:#timeline#investment#flashback#cognitive evolution#thesis tracking#research notes
One-click install
npx skills add https://github.com/robinlllll/claude-code-skills --skill flashback
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flashback
Source: https://github.com/robinlllll/claude-code-skills/tree/main/flashback
Command: npx skills add https://github.com/robinlllll/claude-code-skills --skill flashback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Flashback Skill helps investors reconstruct the full trajectory of a ticker by collecting and organizing scattered research, trades, and signals into a time-ordered timeline.

Core Features & Use Cases

  • Auto-synthesizes data from multiple sources (trades, thesis, research notes, earnings, meetings, media) into a single historical narrative.
  • Highlights cognitive turning points and thesis evolutions to inform post-hoc reviews, risk assessment, and decision auditing.
  • Supports decision auditing, performance review, and learning from investment history.

Quick Start

Input a ticker to generate its complete investment history timeline.

Frequently Asked Questions about flashback

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

FAQPage Schema
How do I reconstruct an investment timeline from scattered research notes and trade history?▼

Investment timeline reconstruction involves aggregating scattered research notes, trades, and earnings data into a time-ordered historical narrative. Inputting a ticker auto-synthesizes multiple sources to support post-hoc reviews and thesis evolution tracking.

What is thesis evolution tracking and how does it work for portfolio auditing?▼

Thesis evolution tracking maps cognitive turning points in your investment strategy by sorting historical events and signals by date. It supports portfolio auditing by highlighting how your research and trading decisions evolved over time.

How do I track cognitive turning points across multiple investment sources?▼

Track cognitive turning points by coordinating parallel data collection from trades, meetings, and media, then sorting these events by date. This highlights critical shifts in your investment thesis for decision auditing.

Can I use historical research notes and earnings data for post-hoc investment reviews?▼

Historical research notes and earnings data can be used for post-hoc investment reviews. The process auto-synthesizes these multiple sources into a single historical narrative to inform risk assessment and decision auditing.

Does generating an investment timeline require manual data sorting from different meetings and trades?▼

Generating an investment timeline does not require manual data sorting. It coordinates parallel data collection from trades, meetings, and media automatically, sorting events by date to highlight critical thesis turning points.

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