Shard

Community

cwinvestments

shard

Use when the user says 'shard this', 'split file', or when working with files over 1000 lines.

Overview

Publisher	cwinvestments
Repository	`memstack`
Skill name	`shard`
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 Shard 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/shard
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/shard .claude/skills/shard

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

Use it in TypingMind

Enable Shard 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 Shard 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 Shard 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.

💎 Shard: Refactoring Large File...

Split monolithic files into focused, maintainable modules.

Activation

When this skill activates, output:

💎 Shard: Refactoring large file...

Then execute the protocol below.

Context Guard

Context	Status
User says "shard", "split file", or "refactor"	ACTIVE: full protocol
Editing a file over 1000 lines	ACTIVE: suggest refactor
User says "refactor" for logic changes (not splitting)	DORMANT: not a shard task
Discussing code organization concepts	DORMANT: do not activate
File is under 500 lines	DORMANT: not worth splitting

Protocol

Identify the target file and count lines:
```
bash
wc -l <file>
```
Analyze structure:
- List all exports (functions, components, types, constants)
- Identify logical groupings
- Map internal dependencies (what calls what)
Propose the split: present to user BEFORE executing:
- Target: 100-300 lines per new file
- Group related functionality
- Keep types near consumers
- Shared utilities in separate file
Execute the refactor:
- Create new files with proper names
- Move code to appropriate files
- Add import/export statements
- Create index.ts barrel if needed for backwards compatibility
- Update all imports throughout the project

Verify build:

bash
npm run build 2>&1 | tail -20

Present result: new file structure with line counts

Inputs

File path to refactor
Optional: preferred split strategy or target file count

Outputs

Multiple smaller files replacing the original
Updated imports throughout project
Build verification

Example Usage

User: "shard infrastructure/page.tsx: it's 1100 lines"


💎 Shard: Refactoring large file...

infrastructure/page.tsx (1,110 lines) → 6 files:
  page.tsx         (~120 lines), Main page, tab switcher
  RailwayTab.tsx   (~200 lines), Railway monitoring
  HetznerTab.tsx   (~180 lines), Hetzner monitoring
  HeadroomTab.tsx  (~250 lines), Headroom + setup guide
  types.ts         (~80 lines),   Shared interfaces
  constants.ts     (~60 lines):   Status configs

Build check: ✓ passed

Level History

Lv.1: Base: File analysis and splitting with import updates. (Origin: MemStack v1.0, Feb 2026)
Lv.2: Enhanced: Added YAML frontmatter, context guard, propose-before-execute, activation message. (Origin: MemStack v2.0 MemoryCore merge, Feb 2026)

Frequently asked questions

What does the Shard AI skill do?

Use when the user says 'shard this', 'split file', or when working with files over 1000 lines.

Why use Shard on TypingMind?

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

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

Which AI models can use Shard?

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 Shard?

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

Is the Shard 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.

View all

Pinecone

NousResearch

OrganizationPopular

Managed vector DB for production RAG and search.

Qdrant

Vector search engine for production RAG systems.

Tensorrt Llm

High-throughput LLM inference on NVIDIA GPUs.

Internal Comms

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

💎 Shard: Refactoring Large File...

Activation

Context Guard

Protocol

Inputs

Outputs

Example Usage

Level History

Frequently asked questions

Related AI Skills

Set up your own AI workspace now