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Report Stock

Community
staskh
report-stock

Generate comprehensive stock analysis report (PDF or markdown) with trend, PMCC, and fundamental analysis

Overview

Publisherstaskh
Repositorytrading_skills
Skill namereport-stock
Stars
386
Forks
86
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Report Stock 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/staskh/trading_skills/tree/main/.claude/skills/report-stock
  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/staskh/trading_skills.git /tmp/trading_skills
mkdir -p .claude/skills
cp -r /tmp/trading_skills/.claude/skills/report-stock .claude/skills/report-stock
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Report Stock 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 Report Stock 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 Report Stock 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.

Stock Analysis Report Generator

Generates professional reports with comprehensive stock analysis including trend analysis, PMCC viability, and fundamental metrics. Supports both PDF and markdown output formats.

Instructions

Step 1: Gather Data

Run the report script for each symbol:

bash
uv run python scripts/report.py SYMBOL

The script returns detailed JSON with:

  • recommendation - Overall recommendation with strengths/risks
  • company - Company info (name, sector, industry, market cap)
  • trend_analysis - Bullish scanner results (score, RSI, MACD, ADX, SMAs)
  • pmcc_analysis - PMCC viability (score, LEAPS/short details, metrics)
  • fundamentals - Valuation, profitability, dividend, balance sheet, earnings history
  • piotroski - F-Score breakdown with all 9 criteria
  • spread_strategies - Option spread analysis (vertical spreads, straddle, strangle, iron condor)

Step 2: Generate Report

Step 2a — Write markdown

Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/ as:

sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

Step 2b — Convert to PDF (if requested)

Invoke the markdown-to-pdf skill on the markdown file just created:

bash
uv run python .claude/skills/markdown-to-pdf/scripts/markdown_to_pdf.py sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md

The PDF is written alongside the markdown file with the same basename.

Step 3: Report Results

After generating the report, tell the user:

  1. The recommendation (BUY/HOLD/AVOID)
  2. Key strengths and risks
  3. The report file path

Example

bash
# Single symbol
uv run python scripts/report.py AAPL

# Multiple symbols - run separately
uv run python scripts/report.py AAPL
uv run python scripts/report.py MSFT

Report Contents

All sections defined in templates/markdown-template.md:

  1. Header — symbol, company name, generated timestamp
  2. Recommendation — BUY/HOLD/AVOID with strengths and risks
  3. Company Overview — sector, industry, market cap, beta
  4. Trend Analysis — bullish score, RSI, MACD, ADX, SMA distances, earnings date, signals list
  5. Fundamental Analysis — valuation (P/E, P/B, EPS), profitability (margins, ROE, ROA, growth), dividend & balance sheet, earnings history (up to 8 quarters)
  6. Piotroski F-Score — all 9 criteria with PASS/FAIL
  7. Insider Trading — net sentiment, buy/sell counts, recent transactions (omitted if no data)
  8. PMCC Viability — score, IV, LEAPS/short leg details, trade metrics (yield, capital required)
  9. Option Spread Strategies — bull call, bear put, straddle, strangle, iron condor
  10. Investment Summary — strengths and risk factors
  11. Disclaimer footer

Dependencies

This skill aggregates data from:

  • scanner-bullish for trend analysis
  • scanner-pmcc for PMCC viability
  • fundamentals for financial data and Piotroski score

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

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 Report Stock AI skill do?

Generate comprehensive stock analysis report (PDF or markdown) with trend, PMCC, and fundamental analysis

Why use Report Stock on TypingMind?

Because you install it once and use it with any model. Report Stock 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 Report Stock in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/staskh/trading_skills/tree/main/.claude/skills/report-stock. 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 Report Stock?

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 Report Stock?

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

Is the Report Stock AI skill free?

Yes. It is published on GitHub by staskh 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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