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Examples

Community
oliver-kriska
examples

Provide Phoenix, LiveView, Ecto, OTP, or Oban examples. Use when asked for sample code, a walkthrough, a proper implementation, or expected workflow output. Pair with domain skills. NOT for debugging, direct changes, best-practice advice, or audits.

Overview

Publisheroliver-kriska
Repositoryclaude-elixir-phoenix
Skill nameexamples
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 Examples 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/examples .claude/skills/examples
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Examples 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 Examples 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 Examples 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.

Examples & Walkthroughs

Official Phoenix Guides (Reference)

For standard implementation patterns, always check official guides first:

Plugin-Specific Patterns

Patterns NOT in official guides (unique to this plugin):

Tidewave Integration Workflow

text
# Requires connected mcp__tidewave__* tools

# Get exact docs for YOUR dependency versions
mcp__tidewave__get_docs "Ecto.Query"

# Execute code in running app
mcp__tidewave__project_eval "MyApp.Accounts.list_users() |> length()"

# Query database directly
mcp__tidewave__execute_sql_query "SELECT count(*) FROM users"

Multi-Agent Review Workflow

bash
# 1. Plan feature with specialist agents
/phx:plan Add user avatars with S3 upload

# 2. After implementation, review with multiple perspectives
/phx:review lib/my_app/accounts.ex  # Elixir idioms
# Security analyzer runs automatically on auth code

# 3. Before deployment
# Deployment validator checks production readiness

Iron Laws Enforcement

This plugin enforces non-negotiable rules across all agents:

Elixir Idioms:

  • NO process without runtime reason
  • Messages are copied (keep small)
  • Changesets for external data

LiveView:

  • NEVER query DB in mount
  • ALWAYS use streams for lists
  • RE-AUTHORIZE in every handle_event

Oban:

  • Jobs MUST be idempotent
  • ALWAYS handle {:error, _} returns
  • Use unique keys for deduplication

Security:

  • Validate at boundaries
  • Never interpolate user input in queries
  • Authorize everywhere (not just mount)

Example Workflows

Bug Investigation

bash
# 1. Start with obvious checks
/phx:investigate Login failing after password reset

# 2. Agent checks Ralph Wiggum list:
#    - File saved? Compiled? Migrated?
#    - Atom vs string keys?
#    - Data preloaded?

# 3. If complex, escalate to Ralph Wiggum Loop (if installed)
/ralph-loop:ralph-loop "Fix login tests. Output <promise>DONE</promise> when green."

Feature Planning

bash
# 1. Research phase
/phx:research Oban unique jobs best practices

# 2. Plan with context analysis
/phx:plan Add daily digest email job

# 3. Agents coordinate:
#    - hex-library-researcher evaluates deps
#    - oban-specialist designs worker
#    - ecto-schema-designer plans data model

Security Audit

bash
# 1. Run security analyzer on auth code
/phx:review lib/my_app_web/controllers/session_controller.ex

# 2. Check for common vulnerabilities:
#    - SQL injection (parameterized queries?)
#    - XSS (proper escaping?)
#    - CSRF (tokens present?)
#    - Authorization (re-checked in events?)

When to Use Official Docs vs Plugin

SituationUse
"How do I create a context?"Official Phoenix guides
"Is my context design idiomatic?"Plugin's /phx:review
"How do I add LiveView?"Official LiveView guides
"Does my LiveView have memory issues?"Plugin's Iron Laws
"How do I deploy to Fly.io?"Official deployment guide
"Is my release config production-ready?"Plugin's deployment-validator

Frequently asked questions

What does the Examples AI skill do?

Provide Phoenix, LiveView, Ecto, OTP, or Oban examples. Use when asked for sample code, a walkthrough, a proper implementation, or expected workflow output. Pair with domain skills. NOT for debugging, direct changes, best-practice advice, or audits.

Why use Examples on TypingMind?

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

Which AI models can use Examples?

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 Examples?

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

Is the Examples 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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