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Assigns Audit

Community
oliver-kriska
assigns-audit

Inspect LiveView socket assigns for memory bloat — missing temporary_assigns, unused assigns, unbounded lists needing streams, memory estimates. Use when LiveView memory grows or you need to add temporary_assigns.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill nameassigns-audit
Stars
555
Forks
40
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by oliver-kriska on GitHub. Read the source before you install it.

Installation

Install the Assigns Audit 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/oliver-kriska/claude-elixir-phoenix.git /tmp/claude-elixir-phoenix
mkdir -p .claude/skills
cp -r /tmp/claude-elixir-phoenix/plugins/elixir-phoenix/skills/assigns-audit .claude/skills/assigns-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Assigns Audit 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 Assigns Audit 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 Assigns Audit 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.

LiveView Assigns Audit

Analyze LiveView socket assigns for memory efficiency, clarity, and best practices.

Iron Laws - Never Violate These

  1. Use streams for lists > 100 items - Never store large lists directly in assigns
  2. Use temporary_assigns for transient data - Flash messages, temp errors, notifications
  3. Preload only needed fields - Don't store full Ecto schemas when only needing subset
  4. Initialize all assigns in mount - Never access assigns that might not exist
  5. NEVER modify assigns or code during audit — this is a read-only diagnostic; report findings only

Quick Audit Commands

Extract All Assigns

Use Grep to find all assign( and assign_new( calls in the target LiveView file.

Find Large Data Patterns

Use Grep to find large data patterns: lists stored in assigns (assign.*\[\], assign.*Repo\.all) and full schema storage (assign.*Repo\.get) in the target file.

Audit Checklist

1. Memory Issues

PatternProblemSolution
assign(:items, Repo.all(...))Unbounded listUse stream/3
assign(:user, Repo.get!(...))Full schemaSelect only needed fields
assign(:file_data, binary)Large binaryStore reference, not data
Nested preloadsExcessive dataPreload only what's rendered

2. Missing temporary_assigns

Should use temporary_assigns:

  • Flash messages
  • Form errors after submission
  • One-time notifications
  • Upload progress
elixir
def mount(_params, _session, socket) do
  {:ok, socket, temporary_assigns: [flash_message: nil]}
end

3. Unused Assigns

Search for assigns defined but never used in templates:

Use Grep to extract all assign names (assign\(:(\w+)) from the LiveView file, then use Grep to find all @\w+ references in the corresponding .heex template. Compare to find unused assigns.

4. Missing Initialization

elixir
# BAD: @items might not exist
def render(assigns) do
  ~H"<%= for item <- @items do %>"
end

# GOOD: Initialize in mount
def mount(_params, _session, socket) do
  {:ok, assign(socket, items: [])}
end

Memory Estimation

For each assign, estimate memory footprint:

Data TypeApprox SizeConcern Level
Integer8 bytesLow
String (100 chars)~200 bytesLow
List of 100 maps~10-50 KBMedium
List of 1000 items~100-500 KBHigh
Binary (image)VariesCritical
Full Ecto schema~1-5 KB eachMedium

Usage

Run /lv:assigns path/to/live_view.ex to generate an assigns inventory with memory estimates and optimization recommendations.

Frequently asked questions

What does the Assigns Audit AI skill do?

Inspect LiveView socket assigns for memory bloat — missing temporary_assigns, unused assigns, unbounded lists needing streams, memory estimates. Use when LiveView memory grows or you need to add temporary_assigns.

Why use Assigns Audit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oliver-kriska/claude-elixir-phoenix/tree/main/plugins/elixir-phoenix/skills/assigns-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Assigns Audit?

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 Assigns Audit?

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

Is the Assigns Audit AI skill free?

Yes. It is published on GitHub by oliver-kriska 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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