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Oneil Canslim

OrganizationPopular
questflowai
oneil-canslim

Use when evaluating growth stocks through O'Neil CAN SLIM: earnings acceleration, relative strength, institutional demand, market direction, base quality, and breakout discipline.

Overview

Publisherquestflowai
Repositoryinvestorskills
Skill nameoneil-canslim
Stars
1.8K
Forks
138
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Oneil Canslim 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.
  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/questflowai/investorskills.git /tmp/investorskills
mkdir -p .claude/skills
cp -r /tmp/investorskills/skills/oneil-canslim .claude/skills/oneil-canslim
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oneil Canslim 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 Oneil Canslim 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 Oneil Canslim 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.

O'Neil CAN SLIM

Use this skill to apply William O'Neil-style growth stock selection: find companies with accelerating earnings and sales, strong relative strength, constructive bases, institutional sponsorship, and a favorable general market.

When To Use

Use this skill when the user asks for:

  • CAN SLIM analysis
  • Growth stock screening
  • Relative strength and earnings acceleration checks
  • Cup-with-handle, flat base, or base breakout review
  • A 7-8% stop-loss plan for a growth stock trade

Trigger phrases include CAN SLIM, O'Neil, relative strength, base breakout, cup with handle, IBD, earnings acceleration, and 7% stop.

Do Not Use When

  • The company has weak or decelerating fundamentals.
  • The market is in a confirmed downtrend.
  • The stock is thinly traded or extended far above a proper buy point.
  • The user wants deep value or long-term moat analysis only.

Inputs Needed

  • Ticker and exchange
  • Quarterly EPS and sales growth
  • Annual EPS trend
  • Relative strength vs. market and peers
  • Base pattern, pivot price, volume, and current price
  • General market trend

Process

  1. Check CAN SLIM fundamentals first: current and annual earnings, sales, new product/catalyst.
  2. Confirm leadership: relative strength, industry group strength, and price near new highs.
  3. Evaluate supply and demand: float, volume dry-up, accumulation, institutional sponsorship.
  4. Confirm market direction.
  5. Judge base quality and pivot validity.
  6. Define buy point, stop, add rules, and sell rules.

Output Format

md
# CAN SLIM View: [Stock]

## Verdict
Buy Point / Watchlist / Extended / Pass / Market Stand Down

## CAN SLIM Checklist
| Letter | Status | Evidence |
|--------|--------|----------|

## Base And Pivot

## Buy / Stop Plan

## Sell Rules

## Missing Data

Guardrails

  • Do not buy cheap-looking laggards.
  • Do not buy extended breakouts.
  • Do not ignore the general market trend.
  • Cut losses quickly, usually around 7-8% from the proper buy point.
  • Do not average down.

Questflow Use

In Questflow, this skill is best used as a growth-stock opportunity scanner and breakout monitor that connects fundamentals, relative strength, price/volume, and execution rules.

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 Oneil Canslim AI skill do?

Use when evaluating growth stocks through O'Neil CAN SLIM: earnings acceleration, relative strength, institutional demand, market direction, base quality, and breakout discipline.

Why use Oneil Canslim on TypingMind?

Because you install it once and use it with any model. Oneil Canslim 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 Oneil Canslim in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/questflowai/investorskills/tree/main/skills/oneil-canslim. 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 Oneil Canslim?

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 Oneil Canslim?

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

Is the Oneil Canslim AI skill free?

Yes. It is published on GitHub by questflowai 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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