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Quick

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oliver-kriska
quick

Implement small Phoenix changes without planning — add validations, update routes, fix components, create migrations. Use for single-file edits under 50 lines.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill namequick
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 Quick 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/quick .claude/skills/quick
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quick 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 Quick 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 Quick 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.

Quick Mode

Skip the planning ceremony. Get working code fast.

Usage

bash
/phx:quick Add pagination to posts
/phx:quick Fix the login redirect bug
/phx:quick Add CSV export to reports

Arguments

$ARGUMENTS = What to implement

How It Differs

Normal ModeQuick Mode
Spawn research agentsNo agents
Create plan documentMental model only
Parallel reviewOptional single review
Multiple iterationsSingle pass

Workflow

  1. Understand - Read relevant files (max 3)
  2. Implement - Write code directly
  3. Verify - Quick compile check
  4. Done - No ceremony

Iron Laws

  1. NEVER skip verification — run mix compile --warnings-as-errors after every change, even in quick mode
  2. DO NOT touch files outside the stated scope — quick mode means minimal blast radius; if a fix requires changes across multiple domains, escalate to /phx:plan
  3. NEVER bypass security checks for speed — auth, input validation, and XSS rules apply regardless of change size

Rules in Quick Mode

Still Enforced (Iron Laws)

  • ✓ No process without runtime reason
  • ✓ No DB in mount
  • ✓ Security basics (no SQL injection, etc.)
  • ✓ Run mix format

Skipped

  • ✗ Parallel agent research
  • ✗ Written plan document
  • ✗ Multiple review passes
  • ✗ Documentation updates

When to Use

Good for:

  • Bug fixes with clear solution
  • Small features (<100 lines)
  • Refactoring with tests
  • Adding fields/columns
  • UI tweaks

Not for:

  • New authentication flows
  • Payment integration
  • Data migrations
  • Architectural changes
  • Anything touching security

Quick Patterns

Add Field

bash
/quick Add phone field to users

→ Migration + schema + changeset + form field

Fix Bug

bash
/quick Fix: posts not showing for admin users

→ Find issue + fix + verify

Add Endpoint

bash
/quick Add GET /api/health endpoint

→ Route + controller + response

Escape Hatch

If quick mode hits complexity:

This needs more planning. Switching to normal mode.
Run /phx:plan [task] for full analysis.

Verification

After quick implementation:

Run mix compile --warnings-as-errors. If you touched Ecto schemas or migrations, run mix ecto.migrate. Then run mix test test/path_test.exs for affected tests.

Example Session

User: /phx:quick Add archived_at timestamp to posts

Claude:
1. Reading lib/my_app/blog/post.ex...
2. Creating migration...

# priv/repo/migrations/xxx_add_archived_at_to_posts.exs
def change do
  alter table(:posts) do
    add :archived_at, :utc_datetime
  end
end

3. Updating schema...

# lib/my_app/blog/post.ex
field :archived_at, :utc_datetime

4. Adding to changeset...

def changeset(post, attrs) do
  post
  |> cast(attrs, [:title, :body, :archived_at])
  ...
end

5. Verifying...
$ mix compile --warnings-as-errors ✓
$ mix ecto.migrate ✓

Done. Run `mix test` to verify.

Frequently asked questions

What does the Quick AI skill do?

Implement small Phoenix changes without planning — add validations, update routes, fix components, create migrations. Use for single-file edits under 50 lines.

Why use Quick on TypingMind?

Because you install it once and use it with any model. Quick 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 Quick 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/quick. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quick?

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 Quick?

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

Is the Quick 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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