Agent skill

Minervini Vcp

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural…

MITAuto-check passed

Install Minervini Vcp

skills CLI
$ npx skills add questflowai/investorskills --skill minervini-vcp -a claude-code

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

GitHub CLI
$ gh skill install questflowai/investorskills minervini-vcp --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/minervini-vcp .claude/skills/minervini-vcp && 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
minervini-vcp
GitHub stars
1.9k
Token cost
~601 tokens
SKILL.md length
271 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural…

  • Works in 6 steps: Confirm stage-2 uptrend and… → Check relative strength and leadership. → Identify contraction sequence: each… → …
  • Evaluating Mark Minervini-style VCP setups: volatility contraction
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Minervini Vcp is an agent skill from questflowai/investorskills. Use when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural stop placement.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).

The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.

When your agent uses it

  • Evaluating Mark Minervini-style VCP setups: volatility contraction
  • Tight price action
  • Moving-average alignment
  • Relative strength

Example prompts

  • “/minervini-vcp”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Confirm stage-2 uptrend and moving-average alignment.
  2. Check relative strength and leadership.
  3. Identify contraction sequence: each pullback should get smaller and tighter.
  4. Confirm volume dries up near the pivot.
  5. Define pivot, entry, stop, first add, and invalidation.
  6. Reject loose, extended, or lagging setups.

What it can do on your machine

Read from SKILL.md and the folder at commit 2844d78. 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 (its code samples are markdown).

    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

Minervini Vcp loads about 601 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~601

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 questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 271 words, ~601 tokens.

Download SKILL.mdSave it as .claude/skills/minervini-vcp/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
minervini-vcp
description
Use when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural stop placement.
invest
./invest.md

Minervini VCP

Use this skill to apply Mark Minervini-style Volatility Contraction Pattern analysis: find leading stocks in uptrends, wait for volatility to contract through successive pullbacks, buy the breakout through a pivot, and cut quickly if the setup fails.

When To Use

Use this skill when the user asks for:

  • VCP pattern review
  • Platform/base breakout analysis
  • Tightness and volatility contraction checks
  • Moving-average and relative-strength alignment
  • Entry, stop, and add plan for a growth leader

Trigger phrases include Minervini, VCP, volatility contraction, tightness, platform, pivot, SEPA, stage 2, and breakout.

Do Not Use When

  • The stock is below key moving averages or in a downtrend.
  • The base is wide, loose, and volatile.
  • The breakout is far extended from the pivot.
  • The user wants long-term value analysis only.

Inputs Needed

  • Ticker, timeframe, and recent OHLCV
  • Moving averages: 50-day, 150-day, 200-day if available
  • Relative strength versus market and industry
  • VCP contractions, pivot, volume dry-up, and breakout volume
  • Earnings/sales growth if available
  • Risk budget if sizing is requested

Process

  1. Confirm stage-2 uptrend and moving-average alignment.
  2. Check relative strength and leadership.
  3. Identify contraction sequence: each pullback should get smaller and tighter.
  4. Confirm volume dries up near the pivot.
  5. Define pivot, entry, stop, first add, and invalidation.
  6. Reject loose, extended, or lagging setups.

Output Format

md
# Minervini VCP View: [Stock]

## Verdict
Buyable Breakout / Watch Pivot / Too Loose / Extended / Failed / Pass

## Trend Template

## VCP Structure

## Pivot And Stop

## Volume And Relative Strength

## Trade Plan

## Missing Data

Guardrails

  • Do not buy loose VCPs.
  • Do not buy below declining key moving averages.
  • Do not chase far above the pivot.
  • Do not widen stops after entry.
  • Do not average down.

Questflow Use

In Questflow, this skill is best used as a technical breakout module for detecting VCP/platform setups, defining stop levels, and monitoring breakout follow-through.

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

Files

SKILL.md and 1 other file in skills/minervini-vcp of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Minervini Vcp 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.

Minervini Vcp compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Minervini Vcp this skillquestflowai/investorskills1.9k—~601Automated safety check: PassMIT
Setupnanocoai/nanoclaw31k—~150Automated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates32k12 repos~3.5kAutomated safety check: PassMIT
Setupgarrytan/gbrain31k—~3.6kAutomated safety check: PassMIT
Setupalirezarezvani/claude-skills28k1 repos~737Automated safety check: PassMIT

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Questions about Minervini Vcp

What does Minervini Vcp do?

A skill your agent uses when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural…. Minervini Vcp is an agent skill from questflowai/investorskills. Use when evaluating Mark Minervini-style VCP setups: volatility contraction, tight price action, moving-average alignment, relative strength, breakout trigger, and structural stop placement.

When should I use Minervini Vcp?

Minervini Vcp fits situations like: evaluating Mark Minervini-style VCP setups: volatility contraction; tight price action; moving-average alignment; relative strength.

How do I install Minervini Vcp in Claude Code?

Run `npx skills add questflowai/investorskills --skill minervini-vcp -a claude-code`. Or copy the skill folder (skills/minervini-vcp in questflowai/investorskills) into .claude/skills/minervini-vcp in your project. Claude Code loads it when a task matches its description.

How do I install Minervini Vcp in Codex?

Run `npx skills add questflowai/investorskills --skill minervini-vcp -a codex`. Or copy the skill folder (skills/minervini-vcp in questflowai/investorskills) into .agents/skills/minervini-vcp in your project. Codex loads it when a task matches its description.

Can I use Minervini Vcp 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 questflowai/investorskills --skill minervini-vcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minervini-vcp, .gemini/skills/minervini-vcp, .github/skills/minervini-vcp and .opencode/skills/minervini-vcp in your project.

What does Minervini Vcp need to run?

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

Does Minervini Vcp 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 Minervini Vcp 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 Minervini Vcp use?

Minervini Vcp is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Minervini Vcp use?

About 601 tokens (SKILL.md is roughly 2.4k 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 Minervini Vcp?

Skills that share tags, products or a category with Minervini Vcp: Setup (nanocoai/nanoclaw, 31k stars), Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 32k stars) and Setup (garrytan/gbrain, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minervini Vcp?

questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.

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