elixir-expert▌
404kidwiz/claude-supercode-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
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.
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
- Generate Phoenix project
- Configure database with Ecto
- Define schemas and migrations
- Create contexts for business logic
- Build controllers or LiveViews
- Add authentication
- Deploy with releases
2. OTP Application Design
- Identify stateful components
- Design supervision tree
- Implement GenServers for state
- Add proper error handling
- Implement graceful shutdown
- Test supervision strategies
3. Real-Time with LiveView
- Generate LiveView module
- Define assigns and state
- Implement handle_event callbacks
- Use pubsub for broadcasts
- Optimize with temporary_assigns
- 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-Pattern | Problem | Correct Approach |
|---|---|---|
| Large GenServer state | Memory and serialization | External storage, ETS |
| Defensive coding | Hides bugs | Let it crash, supervise |
| Blocking GenServer | Process bottleneck | Async tasks for I/O |
| No supervision | Unrecoverable crashes | Proper supervision tree |
| Mutable mindset | Bugs and race conditions | Embrace immutability |
How to use elixir-expert on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add elixir-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches elixir-expert from GitHub repository 404kidwiz/claude-supercode-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate elixir-expert. Access the skill through slash commands (e.g., /elixir-expert) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★51 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
Registry listing for elixir-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Min Yang· Dec 28, 2024
Keeps context tight: elixir-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Neel Mensah· Dec 24, 2024
I recommend elixir-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Meera Ndlovu· Dec 8, 2024
Solid pick for teams standardizing on skills: elixir-expert is focused, and the summary matches what you get after install.
- ★★★★★Tariq Desai· Dec 4, 2024
Registry listing for elixir-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Okafor· Nov 27, 2024
Registry listing for elixir-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Arya Rahman· Nov 23, 2024
Solid pick for teams standardizing on skills: elixir-expert is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Nov 19, 2024
Solid pick for teams standardizing on skills: elixir-expert is focused, and the summary matches what you get after install.
- ★★★★★Min Flores· Nov 19, 2024
elixir-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Chawla· Nov 15, 2024
Useful defaults in elixir-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 51