Reviews Python code across type safety, error handling, security, performance, modern patterns, design clarity, typed-boundary compliance, test quality, and documentation. Use when performing code review, PR review, pre-merge quality checks, or assessing Python for security vulnerabilities, bare except clauses, Any usage outside boundaries, or missing input validation at system boundaries.
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Use this skill for a bounded conventional code review of the requested Python scope.
For a broad audit asking how the code could be more Pythonic, smaller, lower-maintenance, modernized, replaced by ecosystem libraries, or aligned with large-project practices, use python-engineering:python-quality-audit instead. That entryway fans out StinkySnake, SnakePolish, ecosystem, project-practice, and removal/debt research and synthesizes an actionable report.
Review the requested Python scope with these priorities.
Scope: $ARGUMENTS
Load python-engineering:standards-for-python-development before judging the target. Its precedence and contextual defaults are authoritative; this entrypoint must not invent stricter framework migrations or numeric heuristics.
Review for correctness, security, boundary safety, design/cohesion, tests, typing, performance where demonstrated, and documentation affected by the change. Prefer the plugin's defaults for new work, but do not flag coherent existing unittest.mock, absence of Hypothesis without a useful invariant/input space, direct construction, or existing architecture merely because another preferred option exists.
For each finding report severity, file:line, evidence, consequence, suggested correction, and verification. Treat ~500 physical LOC as the default module boundary and inspect/decompose unless evidence shows splitting would worsen cohesion/API boundaries.
Do not edit the reviewed code.
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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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