perl-patterns

affaan-m/everything-claude-code · updated Apr 8, 2026

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$npx skills add https://github.com/affaan-m/everything-claude-code --skill perl-patterns
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summary

Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.

skill.md

Modern Perl Development Patterns

Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.

When to Activate

  • Writing new Perl code or modules
  • Reviewing Perl code for idiom compliance
  • Refactoring legacy Perl to modern standards
  • Designing Perl module architecture
  • Migrating pre-5.36 code to modern Perl

How It Works

Apply these patterns as a bias toward modern Perl 5.36+ defaults: signatures, explicit modules, focused error handling, and testable boundaries. The examples below are meant to be copied as starting points, then tightened for the actual app, dependency stack, and deployment model in front of you.

Core Principles

1. Use v5.36 Pragma

A single use v5.36 replaces the old boilerplate and enables strict, warnings, and subroutine signatures.

# Good: Modern preamble
use v5.36;

sub greet($name) {
    say "Hello, $name!";
}

# Bad: Legacy boilerplate
use strict;
use warnings;
use feature 'say', 'signatures';
no warnings 'experimental::signatures';

sub greet {
    my ($name) = @_;
    say "Hello, $name!";
}

2. Subroutine Signatures

Use signatures for clarity and automatic arity checking.

use v5.36;

# Good: Signatures with defaults
sub connect_db($host, $port = 5432, $timeout = 30) {
    # $host is required, others have defaults
    return DBI->connect("dbi:Pg:host=$host;port=$port", undef, undef, {
        RaiseError => 1,
        PrintError => 0,
    });
}

# Good: Slurpy parameter for variable args
sub log_message($level, @details) {
    say "[$level] " . join(' ', @details);
}

# Bad: Manual argument unpacking
sub connect_db {
    my ($host, $port, $timeout) = @_;
    $port    //= 5432;
    $timeout //= 30;
    # ...
}

3. Context Sensitivity

Understand scalar vs list context — a core Perl concept.

use v5.36;

my @items = (1, 2, 3, 4, 5);

my @copy  = @items;            # List context: all elements
my $count = @items;            # Scalar context: count (5)
say "Items: " . scalar @items; # Force scalar context

4. Postfix Dereferencing

Use postfix dereference syntax for readability with nested structures.

use v5.36;

my $data = {
    users => [
        { name => 'Alice', roles => ['admin', 'user'] },
        { name => 'Bob',   roles => ['user'] },
    ],
};

# Good: Postfix dereferencing
my @users = $data->{users}->@*;
my @roles = $data->{users}[0]{roles}->@*;
my %first = $data->{users}[0]->%*;

# Bad: Circumfix dereferencing (harder to read in chains)
my @users = @{ $data->{users} };
my @roles = @{ $data->{users}[0]{roles} };

5. The isa Operator (5.32+)

Infix type-check — replaces blessed($o) && $o->isa('X').

use v5.36;
if ($obj isa 'My::Class') { $obj->do_something }

Error Handling

eval/die Pattern

use v5.36;

sub parse_config($path) {
    my $content = eval { path($path)->slurp_utf8 };
    die "Config error: $@" if $@;
    return decode_json($content);
}

Try::Tiny (Reliable Exception Handling)

use v5.36;
use Try::Tiny;

sub fetch_user($id) {
    my $user = try {
        $db->resultset('User')->find($id)
            // die "User $id not found\n";
    }
    catch {
        warn "Failed to fetch user $id: $_";
        undef;
    };
    return $user;
}

Native try/catch (5.40+)

use v5.40;

sub divide($x, $y) {
    try {
        die "Division by zero" if $y == 0;
        return $x / $y;
    }
    catch ($e) {
        warn "Error: $e";
        return;
    }
}

Modern OO with Moo

Prefer Moo for lightweight, modern OO. Use Moose only when its metaprotocol is needed.

# Good: Moo class
package User;
use Moo;
use Types::Standard qw(Str Int ArrayRef);
use namespace::autoclean;

has name  => (is => 'ro', isa => Str, required => 1);
has email => (is => 'ro', isa => Str, required => 1);
has age   => (is => 'ro', isa => Int, default  => sub { 0 });
has roles => 
how to use perl-patterns

How to use perl-patterns on Cursor

AI-first code editor with Composer

1

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 perl-patterns
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/affaan-m/everything-claude-code --skill perl-patterns

The skills CLI fetches perl-patterns from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/perl-patterns

Reload or restart Cursor to activate perl-patterns. Access the skill through slash commands (e.g., /perl-patterns) 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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.838 reviews
  • Shikha Mishra· Dec 28, 2024

    perl-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Smith· Dec 16, 2024

    Solid pick for teams standardizing on skills: perl-patterns is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Dec 4, 2024

    Solid pick for teams standardizing on skills: perl-patterns is focused, and the summary matches what you get after install.

  • Isabella Verma· Dec 4, 2024

    I recommend perl-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Nov 23, 2024

    We added perl-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Soo Ndlovu· Nov 23, 2024

    Keeps context tight: perl-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Charlotte Huang· Nov 7, 2024

    We added perl-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Benjamin Mehta· Oct 26, 2024

    perl-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Oct 14, 2024

    perl-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Menon· Oct 14, 2024

    perl-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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