Ask clarifying questions before implementing to ensure Python requirements are understood. Use when a task lacks detail, dependencies are unclear, or multiple interpretations are possible.
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See how to installReview the instructions the agent will receive before you install.
Before implementing any Python work, pause and gather context so the solution matches what’s really needed.
Ask focused questions
Restate the requirements
Confirm before moving forward
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Implement comprehensive error handling for Python code paths to keep services resilient and user-friendly. Use when failures are currently silent or exceptions leak through.
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Tabular and numerical data analysis with descriptive statistics and insights. Use when the user provides data, tables, CSVs, or numbers and wants analysis.
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Financial factsheet analysis with key metrics extraction and investment rationale
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Diagnose and fix CI failures without leaving your editor.
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Reproduce ai-repo PR checks locally with Poe and CI scripts, including per-package typecheck and coverage behavior. Use when validating changes before push or when user asks which local commands match CI.
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Delete local git branches whose remotes are gone, after verifying via gh CLI that each was actually merged.
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