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Agent skill

Earnings Preview

by rongxinzy in rongxinzy/RongxinAI

Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch.

AGPL-3.0Auto-check passedBusiness, Finance & HR

Install Earnings Preview

skills CLI
$ npx skills add rongxinzy/RongxinAI --skill earnings-preview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rongxinzy/RongxinAI earnings-preview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/earnings-preview .claude/skills/earnings-preview && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
earnings-preview
GitHub stars
154
Used in
1 other repo
Token cost
~686 tokens
SKILL.md length
291 words
Files
1
Skills in repo
94
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch.

  • Works in 5 steps: Gather Context → Key Metrics Framework → Scenario Analysis → …
  • Earnings preview
  • SKILL.md covers Workflow and Important Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Earnings Preview is an agent skill from rongxinzy/RongxinAI. Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Stock and market analysis and Financial analysis. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.

When your agent uses it

  • Earnings preview
  • What to watch for [company] earnings
  • Preview Q[X] for [company]

Example prompts

  • “earnings preview”
  • “what to watch for [company] earnings”
  • “pre-earnings”
  • “/earnings-preview”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Context
  2. Key Metrics Framework
  3. Scenario Analysis
  4. Catalyst Checklist
  5. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Earnings Preview loads about 686 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 291 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~686

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 291 words, ~686 tokens.

Download SKILL.mdSave it as .claude/skills/earnings-preview/SKILL.md (or your agent's skills folder).
name
earnings-preview
description
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".

Earnings Preview

Workflow

Step 1: Gather Context
  • Identify the company and reporting quarter
  • Pull consensus estimates via web search (revenue, EPS, key segment metrics)
  • Find the earnings date and time (pre-market vs. after-hours)
  • Review the company's prior quarter earnings call for any guidance or commentary
Step 2: Key Metrics Framework

Build a "what to watch" framework specific to the company:

Financial Metrics:

  • Revenue vs. consensus (total and by segment)
  • EPS vs. consensus
  • Margins (gross, operating, net) — expanding or contracting?
  • Free cash flow
  • Forward guidance vs. consensus

Operational Metrics (sector-specific):

  • Tech/SaaS: ARR, net retention, RPO, customer count
  • Retail: Same-store sales, traffic, basket size
  • Industrials: Backlog, book-to-bill, price vs. volume
  • Financials: NIM, credit quality, loan growth, fee income
  • Healthcare: Scripts, patient volumes, pipeline updates
Step 3: Scenario Analysis

Build 3 scenarios with stock price implications:

ScenarioRevenueEPSKey DriverStock Reaction
Bull
Base
Bear

For each scenario:

  • What would need to happen operationally
  • What management commentary would signal this
  • Historical context — how has the stock moved on similar prints?
Step 4: Catalyst Checklist

Identify the 3-5 things that will determine the stock's reaction:

  1. [Metric] vs. [consensus/whisper number] — why it matters
  2. [Guidance item] — what the buy-side expects to hear
  3. [Narrative shift] — any strategic changes, M&A, restructuring
Step 5: Output

One-page earnings preview with:

  • Company, quarter, earnings date
  • Consensus estimates table
  • Key metrics to watch (ranked by importance)
  • Bull/base/bear scenario table
  • Catalyst checklist
  • Trading setup: recent stock performance, implied move from options

Important Notes

  • Consensus estimates change — always note the source and date of estimates
  • "Whisper numbers" from buy-side surveys are often more relevant than published consensus
  • Historical earnings reactions help calibrate expectations (search for "[company] earnings reaction history")
  • Options-implied move tells you what the market expects — compare to your scenarios

© rongxinzy, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/earnings-preview of rongxinzy/RongxinAI.

Open the folder on GitHubat commit 9c64865

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Earnings Preview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Earnings Preview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Earnings Preview this skillrongxinzy/RongxinAI1541 repos~686Automated safety check: PassAGPL-3.0
Longbridge Earningshelsome/folio2711 repos~2.5kAutomated safety check: PassNone
Earnings AnalysisWind-Alice/AliceMarket1343 repos~2.2kAutomated safety check: PassNone
Buy Side Equity Research Memohaskaomni/serenity-skill633—~3.8kAutomated safety check: PassMIT
Longbridgehelsome/folio2711 repos~1.9kAutomated safety check: PassNone
Earnings Recaphimself65/finance-skills3.4k—~1.7kAutomated safety check: PassMIT

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Categories

Questions about Earnings Preview

What does Earnings Preview do?

Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Earnings Preview is an agent skill from rongxinzy/RongxinAI. Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch.

When should I use Earnings Preview?

Earnings Preview fits situations like: earnings preview; what to watch for [company] earnings; preview Q[X] for [company].

How do I install Earnings Preview in Claude Code?

Run `npx skills add rongxinzy/RongxinAI --skill earnings-preview -a claude-code`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/earnings-preview in rongxinzy/RongxinAI) into .claude/skills/earnings-preview in your project. Claude Code loads it when a task matches its description.

How do I install Earnings Preview in Codex?

Run `npx skills add rongxinzy/RongxinAI --skill earnings-preview -a codex`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/earnings-preview in rongxinzy/RongxinAI) into .agents/skills/earnings-preview in your project. Codex loads it when a task matches its description.

Can I use Earnings Preview in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill earnings-preview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/earnings-preview, .gemini/skills/earnings-preview, .github/skills/earnings-preview and .opencode/skills/earnings-preview in your project.

What does Earnings Preview need to run?

SKILL.md names no scripts, command-line tools or credentials: Earnings Preview is instructions for the agent only.

Does Earnings Preview access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Earnings Preview safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Earnings Preview use?

Earnings Preview is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Earnings Preview use?

About 686 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Earnings Preview?

Skills that share tags, products or a category with Earnings Preview: Longbridge Earnings (helsome/folio, 271 stars), Earnings Analysis (Wind-Alice/AliceMarket, 134 stars), Buy Side Equity Research Memo (haskaomni/serenity-skill, 633 stars) and Longbridge (helsome/folio, 271 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Earnings Preview?

rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.

Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.