CLI Tools

Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.

Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use for web browsing, form submission, web scraping, or UI testing. NOT for static content (use curl/wget).

Use when debugging Rails issues - provides Rails-specific debugging tools (logs, console, byebug, SQL logging) integrated with systematic debugging process

BAIME-aligned refactoring protocol for Go hotspots (CLIs, services, MCP tooling) with automated metrics (e.g., metrics-cli, metrics-mcp) and documentation.

Basic MCP skill demonstrating CLI-based execution pattern for fetching URL content

Use Microsoft Fabric CLI (fab) to manage workspaces, semantic models, reports, notebooks, lakehouses, and other Fabric resources via file-system metaphor and commands. Use when deploying Fabric items, running jobs, querying data, managing OneLake files, or automating Fabric operations. Invoke this skill automatically whenever a user mentions the Fabric CLI, fab, or Fabric.

Manage backlog tasks using the Backlog.md CLI. Use for creating, editing, viewing, and searching tasks in your backlog.

Control interactive CLI programs in tmux panes

Invoke OpenAI Codex CLI for second opinions, multi-model analysis, architectural validation, or structured JSON output. Use when you need external AI perspective from OpenAI models to validate your decisions or get comparative analysis.

Invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. This skill should be invoked when users explicitly mention "Codex", request complex implementation challenges, advanced reasoning, GPT-5.1 capabilities, or need high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

Build modern SPAs with Inertia.js and Rails using React, Vue, or Svelte. Use when creating Inertia pages, handling forms with useForm, managing shared props, or implementing client-side routing. Triggers on Inertia.js setup, SPA development, or React/Vue/Svelte with Rails.

Apple firmware and binary reverse engineering with the ipsw CLI tool. Use when analyzing iOS/macOS binaries, disassembling functions in dyld_shared_cache, dumping Objective-C headers from private frameworks, downloading IPSWs or kernelcaches, extracting entitlements, analyzing Mach-O files, or researching Apple security. Triggers on requests involving Apple RE, iOS internals, kernel analysis, KEXT extraction, or vulnerability research on Apple platforms.

Comprehensive guide for building production-quality Ruby gems. Use when creating new gems, structuring gem architecture, implementing configuration patterns, setting up testing, or preparing for publishing. Covers all gem types - libraries, CLI tools, Rails engines, and API clients.

Guidance for implementing CLI tools that perform inference using PyTorch models in native languages (C/C++/Rust). This skill should be used when tasks involve extracting weights from PyTorch .pth files, implementing neural network forward passes in C/C++, or creating standalone inference tools without Python dependencies.

Create and modify Argcfiles using the special syntax required. Use this when editing Argcfile.sh, @argc, or any shell script that contains `argc --argc-eval`.

Guidance for SAM-based cell segmentation and mask conversion tasks involving MobileSAM, mask-to-polygon conversion, CSV processing, and command-line interface design. This skill applies when working with Segment Anything Model (SAM) for biological image segmentation, converting binary masks to polygon coordinates, processing microscopy data, or building CLI tools that interface with deep learning models. (project)

Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTorch models to standalone executables, extracting model weights to portable formats (JSON), implementing neural network forward passes in C/C++, or creating CLI tools that load images and run inference without Python dependencies.

This skill guides Cloudflare Workers and Pages development with Wrangler CLI. Use when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.

Browser automation using browser-cdp CLI. Control Chrome, Brave, or Edge browsers for testing, scraping, and web interaction. Uses your real browser (not test mode) for authentic sessions.