cli-developer

jeffallan/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jeffallan/claude-skills --skill cli-developer
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summary

Build cross-platform CLI tools with argument parsing, interactive prompts, and shell completions.

  • Covers Node.js (commander, yargs), Python (click, typer), and Go (cobra, viper) frameworks with design patterns for subcommands, flags, and configuration
  • Includes UX patterns for progress bars, spinners, color output with TTY detection, and graceful signal handling
  • Requires startup time under 50ms, consistent flag naming, non-interactive fallbacks for CI/CD, and shell completion generati
skill.md

CLI Developer

Core Workflow

  1. Analyze UX — Identify user workflows, command hierarchy, common tasks. Validate by listing all commands and their expected --help output before writing code.
  2. Design commands — Plan subcommands, flags, arguments, configuration. Confirm flag naming is consistent and no existing signatures are broken.
  3. Implement — Build with the appropriate CLI framework for the language (see Reference Guide below). After wiring up commands, run <cli> --help to verify help text renders correctly and <cli> --version to confirm version output.
  4. Polish — Add completions, help text, error messages, progress indicators. Verify TTY detection for color output and graceful SIGINT handling.
  5. Test — Run cross-platform smoke tests; benchmark startup time (target: <50ms).

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Design Patterns references/design-patterns.md Subcommands, flags, config, architecture
Node.js CLIs references/node-cli.md commander, yargs, inquirer, chalk
Python CLIs references/python-cli.md click, typer, argparse, rich
Go CLIs references/go-cli.md cobra, viper, bubbletea
UX Patterns references/ux-patterns.md Progress bars, colors, help text

Quick-Start Example

Node.js (commander)

#!/usr/bin/env node
// npm install commander
const { program } = require('commander');

program
  .name('mytool')
  .description('Example CLI')
  .version('1.0.0');

program
  .command('greet <name>')
  .description('Greet a user')
  .option('-l, --loud', 'uppercase the greeting')
  .action((name, opts) => {
    const msg = `Hello, ${name}!`;
    console.log(opts.loud ? msg.toUpperCase() : msg);
  });

program.parse();

For Python (click/typer) and Go (cobra) quick-start examples, see references/python-cli.md and references/go-cli.md.

Constraints

MUST DO

  • Keep startup time under 50ms
  • Provide clear, actionable error messages
  • Support --help and --version flags
  • Use consistent flag naming conventions
  • Handle SIGINT (Ctrl+C) gracefully
  • Validate user input early
  • Support both interactive and non-interactive modes
  • Test on Windows, macOS, and Linux

MUST NOT DO

  • Block on synchronous I/O unnecessarily — use async reads or stream processing instead.
  • Print to stdout when output will be piped — write logs/diagnostics to stderr.
  • Use colors when output is not a TTY — detect before applying color:
    // Node.js
    const useColor = process.stdout.isTTY;
    
    # Python
    import sys
    use_color = sys.stdout.isatty()
    
    // Go
    import "golang.org/x/term"
    useColor := term.IsTerminal(int(os.Stdout.Fd()))
    
  • Break existing command signatures — treat flag/subcommand renames as breaking changes.
  • Require interactive input in CI/CD environments — always provide non-interactive fallbacks via flags or env vars.
  • Hardcode paths or platform-specific logic — use os.homedir() / os.UserHomeDir() / Path.home() instead.
  • Ship without shell completions — all three frameworks above have built-in completion generation.

Output Templates

When implementing CLI features, provide:

  1. Command structure (main entry point, subcommands)
  2. Configuration handling (files, env vars, flags)
  3. Core implementation with error handling
  4. Shell completion scripts if applicable
  5. Brief explanation of UX decisions

Knowledge Reference

CLI frameworks (commander, yargs, oclif, click, typer, argparse, cobra, viper), terminal UI (chalk, inquirer, rich, bubbletea), testing (snapshot testing, E2E), distribution (npm, pip, homebrew, releases), performance optimization

how to use cli-developer

How to use cli-developer 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 cli-developer
2

Execute installation command

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

$npx skills add https://github.com/jeffallan/claude-skills --skill cli-developer

The skills CLI fetches cli-developer from GitHub repository jeffallan/claude-skills 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/cli-developer

Reload or restart Cursor to activate cli-developer. Access the skill through slash commands (e.g., /cli-developer) 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)
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general reviews

Ratings

4.462 reviews
  • Kiara Martin· Dec 28, 2024

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

  • Yusuf Shah· Dec 16, 2024

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

  • Noor Thompson· Dec 12, 2024

    Useful defaults in cli-developer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 8, 2024

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

  • Zaid Gupta· Dec 8, 2024

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

  • Aisha Agarwal· Nov 27, 2024

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

  • Advait Ghosh· Nov 27, 2024

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

  • Anika Abbas· Nov 23, 2024

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

  • Naina Gupta· Nov 7, 2024

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

  • Noor Wang· Nov 3, 2024

    Registry listing for cli-developer matched our evaluation — installs cleanly and behaves as described in the markdown.

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