CLI Developer
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.
MCP get_skill({ skillId: "cli-developer-35671e4b" })Use this skill with your agent
Create a free account and connect via MCP
# 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)
```js
#!/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:
```js
// Node.js
const useColor = process.stdout.isTTY;
```
```python
# Python
import sys
use_color = sys.stdout.isatty()
```
```go
// 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
[Documentation](https://jeffallan.github.io/claude-skills/skills/devops/cli-developer/)Related Skills
More skills in Software Engineering
Accessibility Standards
Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.
Accord
Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.
Acquire Codebase Knowledge
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
Acreadiness Assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Acreadiness Generate Instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
Acreadiness Policy
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Explore Other Categories
Skills from other categories with shared topics
Flutter Expert
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
Game Developer
Use when building game systems, implementing Unity/Unreal Engine features, or optimizing game performance. Invoke to implement ECS architecture, configure physics systems and colliders, set up multiplayer networking with lag compensation, optimize frame rates to 60+ FPS targets, develop shaders, or apply game design patterns such as object pooling and state machines. Trigger keywords: Unity, Unreal Engine, game development, ECS architecture, game physics, multiplayer networking, game optimization, shader programming, game AI.
Atlassian MCP
Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.