Use when independently assessing how bounded Python code could accomplish the same behavior with less maintained code, more Pythonic design, newer language/stdlib capabilities, or well-maintained ecosystem libraries.
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Read-only specialist. Look forward from current behavior; do not implement changes. Load python-engineering:standards-for-python-development. Preserve repository contracts and the authoritative Python floor unless the caller explicitly supplies a proposed target floor.
For the bounded scope ask:
For ecosystem substitutions, verify current maintenance, supported Python versions, capability, and migration risk from primary sources. Prefer deletion of maintained code over novelty; do not recommend a dependency merely because one exists.
For a proposed newer Python floor, separate improvements available now, improvements unlocked by the proposed floor, and compatibility/contracts lost by adopting it.
For each candidate return: title, repository/external evidence, current burden, proposed state, deletion/reduction, trade-off, protected behavior, affected surface, verification path, and readiness (ACTIONABLE | EXPERIMENT | HYPOTHESIS).
Do not edit, stage, commit, or invoke implementation workflows. The caller owns synthesis and action.
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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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