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elixir-expert

Skill179 starsChanged 7 months agoMITView on GitHub

Expert in Elixir, Phoenix Framework, and OTP. Specializes in building concurrent, fault-tolerant, and real-time applications using the BEAM. Use when building Elixir applications, working with Phoenix, implementing GenServers, or designing distributed systems on the BEAM.

2 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 9 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create contexts for business logic

    line 57
  2. Distinctive:

    Add proper error handling

    line 66
  3. Distinctive:

    Use pubsub for broadcasts

    line 74
  4. Distinctive:

    Add JS hooks if needed

    line 76
  5. Distinctive:

    Use supervision trees for fault tolerance

    line 80
  6. Distinctive:

    Keep GenServer state minimal

    line 81
  7. Distinctive:

    Use contexts to organize business logic

    line 82
  8. Distinctive:

    Prefer immutable data transformations

    line 83
  9. Distinctive:

    Test concurrent code with async: true

    line 84

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Elixir Expert

Purpose

Provides expertise in Elixir development, Phoenix Framework, and OTP patterns. Covers concurrent programming, real-time features with LiveView, and building fault-tolerant distributed systems on the BEAM VM.

When to Use

  • Building Elixir applications
  • Developing Phoenix web applications
  • Implementing real-time features with LiveView
  • Using OTP patterns (GenServer, Supervisor)
  • Building distributed systems on BEAM
  • Designing fault-tolerant architectures
  • Working with Ecto for database access

Quick Start

Invoke this skill when:

  • Building Elixir applications
  • Developing Phoenix web applications
  • Implementing real-time features with LiveView
  • Using OTP patterns
  • Designing fault-tolerant systems

Do NOT invoke when:

  • Building Ruby on Rails apps (use rails-expert)
  • Building Node.js backends (use javascript-pro)
  • Building Python backends (use python-pro)
  • Infrastructure automation (use terraform-engineer)

Decision Framework

Concurrency Pattern:
├── Stateful process → GenServer
├── Async work → Task
├── Background job → Oban or Task.Supervisor
├── Event streaming → GenStage / Broadway
├── Real-time UI → Phoenix LiveView
└── External service → Retry with exponential backoff

Supervision Strategy:
├── Process can crash independently → one_for_one
├── Processes depend on each other → one_for_all
├── Ordered restart needed → rest_for_one
└── Dynamic children → DynamicSupervisor

Core Workflows

1. Phoenix Application Setup

  1. Generate Phoenix project
  2. Configure database with Ecto
  3. Define schemas and migrations
  4. Create contexts for business logic
  5. Build controllers or LiveViews
  6. Add authentication
  7. Deploy with releases

2. OTP Application Design

  1. Identify stateful components
  2. Design supervision tree
  3. Implement GenServers for state
  4. Add proper error handling
  5. Implement graceful shutdown
  6. Test supervision strategies

3. Real-Time with LiveView

  1. Generate LiveView module
  2. Define assigns and state
  3. Implement handle_event callbacks
  4. Use pubsub for broadcasts
  5. Optimize with temporary_assigns
  6. Add JS hooks if needed

Best Practices

  • Let it crash - design for failure recovery
  • Use supervision trees for fault tolerance
  • Keep GenServer state minimal
  • Use contexts to organize business logic
  • Prefer immutable data transformations
  • Test concurrent code with async: true

Anti-Patterns

Anti-PatternProblemCorrect Approach
Large GenServer stateMemory and serializationExternal storage, ETS
Defensive codingHides bugsLet it crash, supervise
Blocking GenServerProcess bottleneckAsync tasks for I/O
No supervisionUnrecoverable crashesProper supervision tree
Mutable mindsetBugs and race conditionsEmbrace immutability

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