Apply statsmodels in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses statsmodels or its strengths fit the task.
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Open-source agent runtimes, sandboxes, MCP tooling, and installable Agent Skills.
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Apply statsmodels in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses statsmodels or its strengths fit the task.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply sympy in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses sympy or its strengths fit the task.
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Plan, implement, or review systematic debugging work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests systematic debugging work.
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Create, implement, or review tailwind design system work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on tailwind design system.
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Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.
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Create or review team composition analysis deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for team composition analysis planning or analysis.
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Plan, implement, or review test driven development work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests test driven development work.
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Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.
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Apply pytorch geometric in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses pytorch geometric or its strengths fit the task.
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Create, implement, or review playground work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on playground.
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Create or review revenue operations deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for revenue operations planning or analysis.
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Plan, implement, or review slo implementation work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests slo implementation work.
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Apply risk metrics calculation in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses risk metrics calculation or its strengths fit the task.
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Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
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Design production-ready music prompts and optionally generate music through SandBase. Use for songs, instrumentals, soundtracks, jingles, loops, or multi-part music; use a speech or sound-effect workflow when music is not the main deliverable.
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Create, implement, or review plantuml ascii work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on plantuml ascii.
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Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
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Research public companies and listed securities with current market, company, ownership, and filing data through SandBase. Use for ticker analysis, price-performance comparisons, insider activity, or an evidence-backed investment research brief; do not use for trade execution or personalized financial advice.
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Plan, implement, or review nuget manager work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests nuget manager work.
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Apply polars in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses polars or its strengths fit the task.
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Apply seaborn in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses seaborn or its strengths fit the task.
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Apply spark optimization in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses spark optimization or its strengths fit the task.
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Apply stable-baselines3 in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses stable-baselines3 or its strengths fit the task.
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Apply statistical power in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses statistical power or its strengths fit the task.
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