Use when building or debugging Typer/Rich CLI applications. Activates on Rich table rendering, console output in non-TTY environments, CliRunner testing with Rich output, snapshot testing, Typer command wiring, exception chain prevention with AppExit/AppExitRich patterns, table width at 80-column wrapping, Progress/Live in non-interactive contexts, stderr/stdout separation, or force_terminal vs width configuration. Grounds AI-generated CLI code in verified correctness patterns and prevents known Typer/Rich integration mistakes.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
<user_input>$ARGUMENTS</user_input>
If <user_input/> contains a directory or file then that is what should be examined against this guide specifically. Start immediately. If it is empty, then use this as a reference for existing tasks.
Correctness patterns for building CLI applications with Typer and Rich, focused on non-TTY environments and common failure modes. For API reference, load the dedicated skills:
Skill(skill="python-engineering:typer") — Typer CLI framework API reference../python3-cli/references/rich-console-and-markup.md and related Rich referencesConsult python-engineering:standards-for-python-development for the shared rules (architecture, typing, testing, CLI rules).
See ../python3-cli/references/typer-rich-non-tty-patterns.md — Console behavior without TTY, width defaults, force_terminal vs width, Progress/Live in non-interactive contexts, environment variables.
See ../python3-cli/references/typer-rich-tables.md — width measurement pattern that prevents wrapping at 80 columns in non-TTY output.
See ../python3-cli/references/typer-rich-testing-patterns.md — capturing Rich output in pytest, CliRunner with Rich, snapshot testing, common assertion mistakes.
See ../python3-cli/references/typer-rich-exception-handling.md — Typer exception chain prevention with AppExit and AppExitRich patterns. Read when implementing error handling in Typer CLI applications.
See ../python3-cli/assets/typer_examples/index.md — working scripts demonstrating non-TTY display solutions. Read when troubleshooting display and layout of terminal applications.
See ../python3-cli/assets/python-cli-demo.py — complete working CLI demo with all patterns (PEP 723 shebang, Typer + Rich integration, modern Python 3.11+, async processing). Read when creating a new CLI tool as a reference implementation.
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Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.
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SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.
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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.
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Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.
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Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.
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