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Ansem Crypto

OrganizationPopular
questflowai
ansem-crypto

Use when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style crypto market framework.

Overview

Publisherquestflowai
Repositoryinvestorskills
Skill nameansem-crypto
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 Ansem Crypto 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/ansem-crypto .claude/skills/ansem-crypto
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ansem Crypto 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 Ansem Crypto 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 Ansem Crypto 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.

Ansem Crypto

Use this skill to apply an Ansem-style crypto judgment framework: combine long-term crypto theses, ecosystem rotation, app-token discovery, comparative valuation, technical confirmation, and attention/liquidity reflexivity before the broader market fully prices it.

When To Use

Use this skill when the user asks for:

  • Crypto narrative analysis
  • Memecoin or community-token evaluation
  • Solana ecosystem momentum reads
  • L1 versus application-token relative value
  • 70/30 core/speculative portfolio structuring
  • Attention and social distribution as market signals
  • Whether a crypto trade has reflexive upside or is already crowded

Trigger phrases include Ansem, crypto narrative, attention, memecoin, Solana rotation, community, CT, mindshare, and retail flow.

Do Not Use When

  • The token is illiquid or cannot be exited.
  • The user wants long-only business-quality equity analysis.
  • The setup depends only on influencer promotion with no organic community or liquidity.
  • The trade has no invalidation, no liquidity, and no position-sizing discipline.

Inputs Needed

  • Token, chain, contract, exchange, or ecosystem
  • Whether this is a core holding or speculative 30% bucket idea
  • Market cap, FDV, liquidity, unlocks, and holder distribution
  • Price trend, volume, and relative strength vs majors
  • Fundamentals/use case, ecosystem traction, social attention, community activity, narrative, and catalyst path
  • Position size, time horizon, and max loss if sizing is requested

Process

  1. Classify the idea: core major, L1/ecosystem beta, app token, memecoin, or short-term trade.
  2. Identify the narrative and why it can attract incremental attention or usage.
  3. Compare valuation across peers: market cap, FDV, market share, and relative upside.
  4. Check whether price, liquidity, and technical structure confirm the thesis.
  5. Separate organic community growth from paid or circular promotion.
  6. Define entry, invalidation, take-profit zones, rotation risk, and journal review.
  7. Size smaller for high-volatility memecoins and illiquid tokens.

Output Format

md
# Ansem Crypto View: [Token / Theme]

## Verdict
Accumulate / Probe / Chase Risk / Hold / Rotate / Pass

## Narrative

## Attention And Community

## Market Structure

## Liquidity And Token Risk

## Portfolio Bucket

## Relative Valuation

## Trade Plan

## Invalidation

## Missing Data

Guardrails

  • Do not mistake a viral post for durable attention.
  • Do not ignore liquidity, FDV, unlocks, or holder concentration.
  • Do not size memecoins like large caps.
  • Do not chase vertical candles without a defined exit.
  • Do not confuse being early with being right.

Questflow Use

In Questflow, this skill is best used as a crypto attention and narrative module that combines social signals, token liquidity, on-chain context, price action, and execution controls.

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 Ansem Crypto AI skill do?

Use when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style crypto market framework.

Why use Ansem Crypto on TypingMind?

Because you install it once and use it with any model. Ansem Crypto 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 Ansem Crypto in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/questflowai/investorskills/tree/main/skills/ansem-crypto. 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 Ansem Crypto?

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 Ansem Crypto?

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

Is the Ansem Crypto 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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