scientific-critical-thinking
Evaluate scientific claims and research methodology for rigor, bias, and validity. Use evidence-based frameworks like GRADE and Cochrane to analyze experiments, protocols, and study conclusions.
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271 skills found
Evaluate scientific claims and research methodology for rigor, bias, and validity. Use evidence-based frameworks like GRADE and Cochrane to analyze experiments, protocols, and study conclusions.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
AI-native product management tool for startups. Features automated competitor research, gap analysis using the WINNING filter, PRD generation, and GitHub Issues integration for prioritized, signal-based roadmap planning.
Interactive Python graphing library for 40+ chart types, scientific visualizations, statistical analysis, and web dashboards using Plotly Express and Graph Objects.
A structured design and planning tool for Vizro dashboards, enforcing a 3-step workflow (requirements, layout, visualization) to ensure production-ready dashboard development.
Generate scaffolding for custom Minecraft Bedrock packet analyzers. Includes template code, registration guides, and packet capture workflows.
Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.
Analyze RFPs and requirements to identify stakeholders, decompose functional modules, extract constraints, and generate high-priority clarification questions.
Create, alter, and validate Snowflake semantic views via the CLI. Automate the generation, documentation, and testing of semantic layer definitions to ensure model accuracy and star schema compliance.
Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.
Automated compliance validation tool for collector bot packages using 8 specialized parallel agents.
Systematic performance engineering: baseline measurement, profiling, bottleneck diagnosis, and evidence-based optimization guidance for high-performance applications.