Breakout Trade Planner

Q: Why use Breakout Trade Planner on TypingMind?

Because you install it once and use it with any model. Breakout Trade Planner 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.

Q: How do I install Breakout Trade Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradermonty/claude-trading-skills/tree/main/skills/breakout-trade-planner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Breakout Trade Planner?

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.

Q: How many AI models can I use with Breakout Trade Planner?

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

Q: Is the Breakout Trade Planner AI skill free?

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

Q: 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.

Q: 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.

CommunityPopular

tradermonty

breakout-trade-planner

Generate Minervini-style breakout trade plans from VCP screener output with worst-case risk calculation, portfolio heat management, and Alpaca-compatible order templates (stop-limit bracket for pre-placement, limit bracket for post-confirmation). Use when user has VCP screener results and wants actionable trade plans with entry/stop/target levels and position sizing.

Overview

Publisher	tradermonty
Repository	`claude-trading-skills`
Skill name	`breakout-trade-planner`
Stars	2.8K
Forks	647
Bundled files	11
License	MIT
Links	Skill source Repository Homepage

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.
11 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tradermonty on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/tradermonty/claude-trading-skills/tree/main/skills/breakout-trade-planner

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/tradermonty/claude-trading-skills.git /tmp/claude-trading-skills
mkdir -p .claude/skills
cp -r /tmp/claude-trading-skills/skills/breakout-trade-planner .claude/skills/breakout-trade-planner

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Breakout Trade Planner 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 Breakout Trade Planner 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 Breakout Trade Planner 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.

Breakout Trade Planner

Generate trade plans from VCP screener output following Mark Minervini's breakout methodology. Calculate position sizes using worst-case entry prices, enforce portfolio risk limits, and output Alpaca API-compatible order templates.

When to Use

User has VCP screener JSON output and wants trade plans
User asks for breakout entry/stop/target calculation
User wants Alpaca order templates for VCP breakout candidates
User needs position sizing with portfolio heat management

Prerequisites

VCP screener JSON output with schema_version: "1.0"
No API keys required (works with local JSON files)
No external skill dependencies (position sizing is built-in)

Workflow

Step 1: Generate Trade Plans

Run the planner with VCP screener output:

bash
python3 skills/breakout-trade-planner/scripts/plan_breakout_trades.py \
  --input reports/vcp_screener_YYYY-MM-DD.json \
  --account-size 100000 \
  --risk-pct 0.5 \
  --output-dir reports/

Step 2: Review Output

Read the generated JSON and Markdown reports. Present:

Actionable Orders — Pre-breakout candidates with order templates
Revalidation — Breakout-state candidates needing live confirmation
Watchlist — Developing VCP candidates to monitor
Rejected/Deferred/Constrained — Candidates filtered by Gate or portfolio limits

Step 3: Explain Trade Plans

For each actionable order, explain:

Entry levels (signal vs worst-case) and stop-loss placement
R-multiple targets and reward-risk ratio
Two execution modes: pre_place (stop-limit) vs post_confirm (limit after 5min confirmation)
Portfolio risk contribution and cumulative heat
Broker and intraday constraints: these templates are planning artifacts, not broker permission. If the plan could create same-day round trips or use margin, confirm the user's broker-specific intraday/day-trading controls. FINRA replaced the old pattern-day-trader day-count and $25,000 minimum-equity requirements with intraday margin standards effective 2026-06-04, with broker phase-in allowed through 2027-10-20.

Minervini Gate (Filtering Criteria)

Candidates must pass ALL conditions:

Condition	Pre-breakout	Breakout
valid_vcp	True	True
rating_band	good/strong/textbook	good/strong/textbook
risk_pct_worst	<= 8.0%	<= 8.0%
breakout_volume	—	True
distance_from_pivot	—	<= max_chase_pct
current_price	—	<= worst_entry

CLI Parameters

Parameter	Default	Description
--account-size	(required)	Account equity in dollars
--risk-pct	0.5	Base risk % per trade
--max-position-pct	10.0	Max single position %
--max-sector-pct	30.0	Max sector exposure %
--max-portfolio-heat-pct	6.0	Max total open risk %
--target-r-multiple	2.0	Take-profit R-multiple
--stop-buffer-pct	1.0	Stop buffer below contraction low
--max-chase-pct	2.0	Max chase above pivot
--pivot-buffer-pct	0.1	Pivot buffer for buy-stop trigger
--current-exposure-json	None	Existing portfolio exposure

Output

breakout_trade_plan_YYYY-MM-DD_HHMMSS.json — Structured plans with order templates
breakout_trade_plan_YYYY-MM-DD_HHMMSS.md — Human-readable report

Exchange Calendar and Replay

Install requirements.txt before running the planner. --as-of accepts either YYYY-MM-DD (00:00 America/New_York) or an offset-bearing ISO-8601 timestamp. Plan validity uses the current not-yet-closed XNYS session or the next real session after a close, weekend, or exchange holiday.

Resources

references/minervini_entry_rules.md — Entry methodology and 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 Breakout Trade Planner AI skill do?

Why use Breakout Trade Planner on TypingMind?

Because you install it once and use it with any model. Breakout Trade Planner 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 Breakout Trade Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradermonty/claude-trading-skills/tree/main/skills/breakout-trade-planner. 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 Breakout Trade Planner?

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 Breakout Trade Planner?

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

Is the Breakout Trade Planner AI skill free?

Yes. It is published on GitHub by tradermonty 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Breakout Trade Planner

When to Use

Prerequisites

Workflow

Step 1: Generate Trade Plans

Step 2: Review Output

Step 3: Explain Trade Plans

Minervini Gate (Filtering Criteria)

CLI Parameters

Output

Exchange Calendar and Replay

Resources

Bundled files

Frequently asked questions

Related AI Skills

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