# public-equity-investing

Skill set for listed-company work: earnings previews and deep dives, valuation, catalyst tracking, model updates and investment memos.

- plugin · `type=plugin` · Codex, ChatGPT · ★ 7596
- Author: OpenAI · official OpenAI repository
- License: LicenseRef-Proprietary · policy=link-only · description only; the file stays with the author
- Source: https://github.com/openai/plugins/tree/HEAD/plugins/public-equity-investing
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/plugins/public-equity-investing

## What it does

The plugin covers research on listed companies: reading earnings, valuing a business, event-driven scenarios, watching catalysts, sizing a position, hedging, dashboards and workbooks. A router picks the right skill for the task, and the focused workflows include `earnings-preview`, `earnings-deep-dive`, `long-short-pitch`, `equity-model-update`, `catalyst-calendar` and `portfolio-risk-management`.

You reach it by naming or tagging it. It only steps in on its own when the request clearly describes listed-equity investor work; a vague prompt leaves the router idle, so spell the plugin out. Bonds, loans, distressed debt and covenants live in the sibling Credit Markets plugin — this one touches them only when such a fact backs an equity thesis.

Each skill carries an audience mode: `long_only_pm`, `long_short_hf`, `sell_side_research`, `etf_index_diligence`, `public_equity_diligence`. The plugin advises producing the full artifact rather than a trimmed one, even when sources are thin; sparse context then yields a screen-grade structure with assumptions and a list of missing evidence. Compressed output appears only if you pick it at intake or ask for a `summary`, `one-pager` or `TL;DR`. The deliverable is meant for a person to read — a DOCX memo, HTML dashboard, XLSX workbook or a chat answer — while Markdown and JSON stay as support files.

## When to use it
- build a pre-earnings preview with the expectation bar and call questions
- turn a release and transcript into a thesis-impact deep dive
- draft a long/short pitch with catalysts, risk/reward and exit rules
- flow actuals and guidance through a public-equity model
- lay out a 90-day catalyst calendar for a position

## Example prompts
- Build a pre-earnings preview for this public company: expectations, key debates, scenarios and call questions.
- Build a 90-day catalyst calendar for this position with confirmed and inferred timing.

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From the same set: [openai/plugins](https://affpapa.org/en/nevibecode/by/openai/plugins.md) — 360 cards

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