Scan

Q: Why use Scan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cwinvestments/memstack/tree/master/skills/scan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Scan?

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 Scan?

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

Q: Is the Scan AI skill free?

Yes. It is published on GitHub by cwinvestments 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.

Community

cwinvestments

scan

Use when the user says 'scan project', 'estimate', 'how much to charge', or needs codebase complexity analysis.

Overview

Publisher	cwinvestments
Repository	`memstack`
Skill name	`scan`
Stars	425
Forks	45
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cwinvestments on GitHub. Read the source before you install it.

Installation

Install the Scan 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.
https://github.com/cwinvestments/memstack/tree/master/skills/scan
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.

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/cwinvestments/memstack.git /tmp/memstack
mkdir -p .claude/skills
cp -r /tmp/memstack/skills/scan .claude/skills/scan

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

Use it in TypingMind

Enable Scan 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 Scan 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 Scan 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.

🔍 Scan: Analyzing Project Scope...

Analyze a project's complexity and generate pricing recommendations.

Activation

When this skill activates, output:

🔍 Scan: Analyzing project scope...

Then execute the protocol below.

Context Guard

Context	Status
User asks to scan or analyze a project	ACTIVE: full scan
User asks about pricing or estimates	ACTIVE: full scan + pricing
User mentions project metrics (LOC, file count)	ACTIVE: quick metrics
Discussing project analysis concepts generally	DORMANT: do not activate
User is building/coding, not analyzing	DORMANT: do not activate

Protocol

Scan the codebase:

bash
find . -type f \( -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.py" -o -name "*.css" \) | wc -l
find . -type f \( -name "*.ts" -o -name "*.tsx" -o -name "*.js" \) -exec cat {} + | wc -l

Count key components: pages/routes, API endpoints, database tables, external integrations, auth complexity
Assess complexity tier:
- Simple (< 20 files, < 3K LOC): $500 to $2,000
- Medium (20-60 files, 3K-15K LOC): $2,000 to $8,000
- Complex (60-150 files, 15K-50K LOC): $8,000 to $25,000
- Enterprise (150+ files, 50K+ LOC): $25,000+
Factor in: Auth (+2FA/SSO), payments (+$1-3K), real-time (+$1-2K), admin panel (+$2-5K), mobile responsive (+20-30%), per API integration (+$500-1.5K)
Generate three-tier pricing: Budget, Standard, Premium

Inputs

Project directory path
New build vs maintenance estimate

Outputs

Project analysis: file counts, LOC, endpoints, tables
Complexity tier assessment
Three-tier pricing recommendation

Example Usage

User: "scan AdminStack and estimate pricing"


🔍 Scan: Analyzing project scope...

Files: 127 | LOC: ~28,000 | Pages: 27 | API Routes: 34 | Tables: 20
Integrations: Supabase, Stripe, Square, SendGrid, Railway, Hetzner
Complexity: Complex tier

Budget:   $15,000: Core features, basic styling
Standard: $22,000: Full features, admin panel, responsive
Premium:  $30,000, Full + custom integrations + 3mo support

Level History

Lv.1: Base: File/LOC counting with complexity assessment. (Origin: MemStack v1.0, Feb 2026)
Lv.2: Enhanced: Added YAML frontmatter, context guard, activation message, integration pricing. (Origin: MemStack v2.0 MemoryCore merge, Feb 2026)

Frequently asked questions

What does the Scan AI skill do?

Use when the user says 'scan project', 'estimate', 'how much to charge', or needs codebase complexity analysis.

Why use Scan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cwinvestments/memstack/tree/master/skills/scan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Scan?

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 Scan?

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

Is the Scan AI skill free?

Yes. It is published on GitHub by cwinvestments 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

🔍 Scan: Analyzing Project Scope...

Activation

Context Guard

Protocol

Inputs

Outputs

Example Usage

Level History

Frequently asked questions

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