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Financial Report

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monarchjuno
financial-report

Package investing analysis into a publishable financial-report style with institutional section flow, thesis framing, valuation context, catalysts, risks, tables, and financial charts. Use when an agent needs to turn existing research into a broker-style or professional finance report for equities, crypto, credit, commodities, portfolios, or macro topics, including chart-heavy outputs such as indicator charts, OHLCV charts, line charts, bar charts, pie charts, and comparison visuals, while keeping the result structured enough for an external docx, pdf, markdown, or spreadsheet skill to render final files.

Overview

Publishermonarchjuno
Repositoryvibe-investing
Skill namefinancial-report
Stars
301
Forks
59
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by monarchjuno on GitHub. Read the source before you install it.

Installation

Install the Financial Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/monarchjuno/vibe-investing/tree/main/skills/output-formats/financial-report
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/monarchjuno/vibe-investing.git /tmp/vibe-investing
mkdir -p .claude/skills
cp -r /tmp/vibe-investing/skills/output-formats/financial-report .claude/skills/financial-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Financial Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Financial Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Financial Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Financial Report

Overview

Use this skill to transform completed analysis into a polished financial report with a clear investment narrative, publication-ready structure, and supporting charts. Focus on editorial packaging, visual clarity, and analytical communication rather than file conversion alone.

Quick Start

  • Start only after the core investment analysis or dataset already exists.
  • Identify the asset or topic, target audience, report date, author or desk if provided, and the intended stance or key takeaway.
  • Decide whether the report is recommendation-led, market-update-led, valuation-led, or data-dashboard-led before writing.
  • Read references/financial-report-template.md for the canonical report skeleton.
  • Read references/style-rules.md for tone and section ordering.
  • Read references/chart-playbook.md when the report includes indicators, OHLCV, line, pie, bar, or comparison charts.
  • Read references/chart-rendering-backends.md when the report must generate chart images for downstream documents.

Core Workflow

1. Build the report frame

  • Create a title that combines the subject, the main hook, and the current stance or focus.
  • Add a compact metadata block with date, coverage target, time horizon, and recommendation when available.
  • Write an executive summary that makes the report's main conclusion clear immediately.

2. Lead with the investment view

  • Surface the recommendation, thesis, valuation stance, or market view before background detail.
  • Present the main reasons to own, avoid, monitor, or rotate into the asset in concise bullets.
  • Keep the report directional, not merely descriptive.

3. Organize the body like professional finance research

  • Use a consistent order: summary, thesis, subject overview, key drivers, valuation or metric context, charts and exhibits, catalysts, risks, and conclusion.
  • Convert raw notes into claim-evidence form rather than source-dump prose.
  • Keep tables and charts close to the argument they support.

4. Add charts intentionally

  • Choose chart types based on the analytical question rather than decoration.
  • Use OHLCV or candlestick-style charts for price action and market structure.
  • Use line charts for time-series comparisons, indicators, trends, and benchmark-relative moves.
  • Use bar charts for ranked comparisons, period-over-period changes, and peer snapshots.
  • Use pie charts only for composition views such as revenue mix, portfolio weights, or ownership mix.
  • Label axes, units, periods, legends, and sources clearly.
  • Prefer TradingView lightweight-charts first for finance-native time-series visuals.
  • Fall back to matplotlib.pyplot when the chart type is unsupported, awkward, or faster to render there.
  • Export every chart as an image artifact that a downstream document generator can embed directly.

5. Adapt by asset type

  • For equities, emphasize business model, earnings path, valuation range, catalysts, and operating charts.
  • For crypto, emphasize protocol utility, adoption, token mechanics, valuation framing, on-chain or market indicators, and risk.
  • For credit, emphasize cash generation, leverage, refinancing, spread behavior, covenant risk, and downside protection.
  • For commodities, emphasize supply-demand setup, cycle position, macro drivers, inventory or curve data, and scenario ranges.
  • For macro or portfolio reports, emphasize regime drivers, allocation logic, exposures, and benchmarking visuals.

6. Prepare for downstream rendering

  • Output clean sectioned markdown or another neutral structured form unless the user explicitly asks for something else.
  • Keep headings, tables, chart captions, footnotes, and disclaimers easy for an external formatting skill to preserve.
  • Do not hard-code page-layout assumptions that belong to downstream docx or pdf tooling.

Output Requirements

  • Include: title, summary, thesis or main view, supporting analysis, charts or exhibit list, risks, and conclusion.
  • Keep the writing concise, directional, and publication-ready.
  • Separate observed facts from judgment calls.
  • Make charts analytical, not ornamental.
  • Make sure the structure can be passed directly into an external formatting skill.

Guardrails

  • Do not invent a recommendation unsupported by the source analysis.
  • Do not add charts that do not answer a real question.
  • Do not use pie charts for time-series data or too many categories.
  • Do not let visual polish overwhelm analytical clarity.
  • Do not rely on a specific file extension or rendering engine.
  • Do not keep charts only as interactive widgets when the report requires embeddable document assets.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Financial Report AI skill do?

Package investing analysis into a publishable financial-report style with institutional section flow, thesis framing, valuation context, catalysts, risks, tables, and financial charts. Use when an agent needs to turn existing research into a broker-style or professional finance report for equities, crypto, credit, commodities, portfolios, or macro topics, including chart-heavy outputs such as indicator charts, OHLCV charts, line charts, bar charts, pie charts, and comparison visuals, while keeping the result structured enough for an external docx, pdf, markdown, or spreadsheet skill to rend...

Why use Financial Report on TypingMind?

Because you install it once and use it with any model. Financial Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Financial Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/monarchjuno/vibe-investing/tree/main/skills/output-formats/financial-report. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Financial Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Financial Report?

As many as you like. As long as a model supports skills, you can use Financial Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Financial Report AI skill free?

Yes. It is published on GitHub by monarchjuno under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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