Customization
Before executing, check for user customizations at: ~/.claude/skills/CORE/USER/SKILLCUSTOMIZATIONS/CreateCLI/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
CreateCLI
Automated CLI Generation System
Generate production-ready TypeScript CLIs with comprehensive documentation, type safety, error handling, and CLI-First Architecture principles.
Voice Notification
When executing a workflow, do BOTH:
Send voice notification:
curl -s -X POST http://localhost:8888/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow from the CreateCLI skill"}' \
/dev/null 2>&1 &
Output text notification:
Running the WorkflowName workflow from the CreateCLI skill...
Full documentation: ~/.claude/skills/CORE/SkillNotifications.md
Workflow Routing
Route to the appropriate workflow based on the request.
When executing a workflow, output this notification directly:
Running the WorkflowName workflow from the CreateCLI skill...
Create a new CLI tool from scratch -> Workflows/CreateCli.md Add a new command to existing CLI -> Workflows/AddCommand.md Upgrade CLI to higher tier -> Workflows/UpgradeTier.md WHEN TO ACTIVATE THIS SKILL
Activate when you see these patterns:
Direct Requests "Create a CLI for [API/service/tool]" "Build a command-line interface for X" "Make a CLI that does Y" "Generate a TypeScript CLI" "I need a CLI tool for Z" Context Clues User describes repetitive API calls -> Suggest CLI User mentions "I keep typing this command" -> Suggest CLI wrapper User has bash script doing complex work -> Suggest TypeScript CLI replacement User working with API that lacks official CLI -> Suggest creating one Examples "Create a CLI for the GitHub API" "Build a command-line tool to process CSV files" "Make a CLI for my database migrations" "Generate a CLI that wraps this API" "I need a tool like llcli but for Notion API" CORE CAPABILITIES Three-Tier Template System
Tier 1: llcli-Style (DEFAULT - 80% of use cases)
Manual argument parsing (process.argv) Zero framework dependencies Bun + TypeScript Type-safe interfaces ~300-400 lines total Perfect for: API clients, data transformers, simple automation
When to use Tier 1:
2-10 commands Simple arguments (flags, values) JSON output No subcommands Fast development
Tier 2: Commander.js (ESCALATION - 15% of use cases)
Framework-based parsing Subcommands + nested options Auto-generated help Plugin-ready Perfect for: Complex multi-command tools
When to use Tier 2:
10+ commands needing grouping Complex nested options Plugin architecture Multiple output formats
Tier 3: oclif (REFERENCE ONLY - 5% of use cases)
Documentation only (no templates) Enterprise-grade plugin systems Perfect for: Heroku CLI, Salesforce CLI scale (rare) What Every Generated CLI Includes
- Complete Implementation
TypeScript source with full type safety All commands functional and tested Error handling with proper exit codes Configuration management
- Comprehensive Documentation
README.md with philosophy, usage, examples QUICKSTART.md for common patterns Inline help text (--help) API response documentation
- Development Setup
package.json (Bun configuration) tsconfig.json (strict mode) .env.example (configuration template) File permissions configured
- Quality Standards
Type-safe throughout Deterministic output (JSON) Composable (pipes to jq, grep) Error messages with context Exit code compliance INTEGRATION WITH PAI Technology Stack Alignment
Generated CLIs follow PAI standards:
Runtime: Bun (NOT Node.js) Language: TypeScript (NOT JavaScript or Python) Package Manager: Bun (NOT npm/yarn/pnpm) Testing: Vitest (when tests added) Output: Deterministic JSON (composable) Documentation: README + QUICKSTART (llcli pattern) Repository Placement
Generated CLIs go to:
~/.claude/Bin/[cli-name]/ - Personal CLIs (like llcli) ~/Projects/[project-name]/ - Project-specific CLIs ~/Projects/PAI/Examples/clis/ - Example CLIs (PUBLIC repo)
SAFETY: Always verify repository location before git operations
CLI-First Architecture Principles
Every generated CLI follows:
Deterministic - Same input -> Same output Clean - Single responsibility Composable - JSON output pipes to other tools Documented - Comprehensive help and examples Testable - Predictable behavior EXTENDED CONTEXT
For detailed information, read these files:
Workflow Documentation Workflows/Create-cli.md - Main CLI generation workflow (decision tree, 10-step process) Workflows/Add-command.md - Add commands to existing CLIs Workflows/Upgrade-tier.md - Migrate simple -> complex Workflows/Add-testing.md - Test suite generation Workflows/Setup-distribution.md - Publishing configuration Reference Documentation framework-comparison.md - Manual vs Commander vs oclif (with research) patterns.md - Common CLI patterns (from llcli analysis) testing-strategies.md - CLI testing approaches (Jest, Vitest, Playwright) distribution.md - Publishing strategies (npm, standalone binaries) typescript-patterns.md - Type safety patterns (from tsx, vite, bun research) Tools & Templates Tools/templates/tier1/ - llcli-style templates (default) Tools/templates/tier2/ - Commander.js templates (escalation) Tools/generators/ - Generation scripts (TypeScript) Tools/validators/ - Quality gates (validation) Examples examples/api-cli/ - API client (reference: llcli) examples/file-processor/ - File operations examples/data-transform/ - Complex CLI (Commander.js) EXAMPLES Example 1: API Client CLI (Tier 1)
User Request: "Create a CLI for the GitHub API that can list repos, create issues, and search code"
Generated Structure:
~/.claude/Bin/ghcli/ ghcli.ts # 350 lines, complete implementation package.json # Bun + TypeScript tsconfig.json # Strict mode .env.example # GITHUB_TOKEN=your_token README.md # Full documentation QUICKSTART.md # Common use cases
Usage:
ghcli repos --user exampleuser ghcli issues create --repo pai --title "Bug fix" ghcli search "typescript CLI" ghcli --help
Example 2: File Processor (Tier 1)
User Request: "Build a CLI to convert markdown files to HTML with frontmatter extraction"
Generated Structure:
~/.claude/Bin/md2html/ md2html.ts package.json README.md QUICKSTART.md
Usage:
md2html convert input.md output.html md2html batch *.md output/ md2html extract-frontmatter post.md
Example 3: Data Pipeline (Tier 2)
User Request: "Create a CLI for data transformation with multiple formats, validation, and analysis commands"
Generated Structure:
~/.claude/Bin/data-cli/ data-cli.ts # Commander.js with subcommands package.json README.md QUICKSTART.md
Usage:
data-cli convert json csv input.json data-cli validate schema data.json data-cli analyze stats data.csv data-cli transform filter --column=status --value=active
QUALITY STANDARDS
Every generated CLI must pass these gates:
- Compilation TypeScript compiles with zero errors Strict mode enabled No any types except justified
- Functionality All commands work as specified Error handling comprehensive Exit codes correct (0 success, 1 error)
- Documentation README explains philosophy and usage QUICKSTART has common examples --help text comprehensive All flags/options documented
- Code Quality Type-safe throughout Clean function separation Error messages actionable Configuration externalized
- Integration Follows PAI tech stack (Bun, TypeScript) CLI-First Architecture principles Deterministic output (JSON) Composable with other tools PHILOSOPHY Why This Skill Exists
Developers repeatedly create CLIs for APIs and tools. Each time:
Starts with bash script Realizes it needs error handling Realizes it needs help text Realizes it needs type safety Rewrites in TypeScript Adds documentation Now has production CLI
This skill automates steps 1-7.
The llcli Pattern
The llcli CLI (Limitless.ai API) proves this pattern works:
327 lines of TypeScript Zero dependencies (no framework) Complete error handling Comprehensive documentation Production-ready immediately
This skill replicates that success.
Design Principles Start Simple - Default to Tier 1 (llcli-style) Escalate When Needed - Tier 2 only when justified Complete, Not Scaffold - Every CLI is production-ready Documentation First - README explains "why" not just "how" Type Safety - TypeScript strict mode always RELATED SKILLS development - For complex feature development (not CLI-specific) mcp - For web scraping CLIs (Bright Data, Apify wrappers) lifelog - Example of skill using llcli
This skill turns "I need a CLI for X" into production-ready tools in minutes, following proven patterns from llcli and CLI-First Architecture.