CLI Tools

Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.

Coordinate with other AI agents via project-local Maildir messaging. Use when operating in tandem mode with Claude, Gemini, or other agents. Enables claiming tasks, reporting completion, handling blocks, and synchronizing work across terminals.

Analyzes PDFs, images, screenshots, diagrams, and documents using Gemini multimodal. Extracts text, tables, forms; interprets visuals, architecture diagrams, flowcharts, ERDs. Use when user mentions PDFs, images, screenshots, document extraction, OCR, visual analysis, diagram interpretation, or form processing. Do not use for web searching or shell commands.

Use when testing ideas cheaply before building (pretotyping with fake doors, concierge MVPs, paper prototypes) to validate desirability/feasibility, choosing appropriate prototype fidelity (paper/clickable/coded), running experiments to test assumptions (demand, pricing, workflow), or when user mentions prototype, MVP, fake door test, concierge, Wizard of Oz, landing page test, smoke test, or asks "how can we validate this idea before building?".

Convert markdown documents to professional, retro LaTeX-style PDFs with academic formatting, clickable TOC, and proper citations.

Prefer modern CLI tools for better performance: rg (ripgrep) instead of grep for text searching, fd instead of find for file discovery, bat instead of cat for viewing files, sd instead of sed for text replacement, eza instead of ls for directory listing, dust instead of du, procs instead of ps. Use when writing bash scripts, optimizing command chains, working with file searches, or replacing grep/find/cat in workflows. These tools are faster, respect .gitignore, and have better output formatting.

This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.

Reportei marketing report generation API via curl. Use this skill to manage clients, reports, templates, integrations and webhooks for automated marketing analytics.

Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.

Teleport between web and CLI contexts with synchronized actions, credentials, and safety rails.

This skill analyzes article content in-depth and generates optimized, marketable titles in the format 'Title: Subtitle' (10-12 words maximum). The skill should be used when users request title optimization, title generation, or title improvement for articles, blog posts, or written content. It generates 5 title candidates using proven formulas, evaluates them against success criteria (clickability, SEO, clarity, emotional impact, memorability, shareability), and replaces the article's title with the winning candidate.

CLI-first AWS orchestration skill for Lambda, ECS/Fargate, and S3 workflows rooted in `.☁️` runbooks.

Use Gemini CLI for research with Google Search grounding and 1M token context

Microsoft Teams.ai integration patterns for dx-toolkit - Memory API, Anthropic SDK, MCP client setup

Claude Code CLI tool expertise. Features: autonomous coding, slash commands, MCP servers, Agent Skills, hooks, plugins, CI/CD integration. Capabilities: setup/config, troubleshooting, skill creation, MCP integration, enterprise deployment, workflow automation. Actions: configure, troubleshoot, create, deploy, integrate Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, terminal tool, workflow automation, code generation, skill creation, configuration, authentication, API key. Use when: learning Claude Code features, configuring settings, creating skills/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, enterprise deployment questions.

Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs.

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

CLI 도구를 개발하거나 명령줄 인터페이스를 설계할 때 proactively 사용. 플래그 설계, 도움말, 오류 메시지 패턴을 제공합니다. (user)

Expert-level Rust systems programming for high-performance, critical systems like Reth (Ethereum execution client). Use when working on: performance optimization, systems-level code, blockchain execution layers, memory-critical paths, concurrent systems, or production-grade infrastructure requiring staff engineer precision. Specializes in: allocation reduction, redundancy elimination, prefetching, parallelization, and simplicity-first optimization.

Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-based decision making. Coordinates OpenAI Codex, Google Gemini, and Claude CLIs for opinion collection, peer review, and chairman synthesis.