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Found 5 Skills
Use for search evaluation, a POC or bake-off, Parallel vs Exa/Tavily comparisons, SimpleQA/DeepSearchQA benchmarks, or diagnosing search evaluation results. For product selection use choose-your-parallel-api; for integration migration use migrate-to-parallel.
Build apps and agents on the Parallel API: Search, Extract, Responses, Task, Decisions and Monitor, through the parallel-web Python and TypeScript SDKs or REST. Use when writing, reviewing or debugging code that calls Parallel; when choosing a Parallel API, search mode, reasoning effort or Task processor; when adding web search, page extraction, cited answers, research, enrichment, web-grounded decisions or web monitoring to an app; when swapping another search provider for Parallel; when setting up PARALLEL_API_KEY; or when a Parallel request fails. Not for searching the web inside the agent's own session. To remove an existing Exa, Tavily, Perplexity or Firecrawl integration end to end, use migrate-to-parallel; to benchmark Parallel against another provider, use parallel-search-evaluation.
Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. Provides comprehensive reviews with actionable feedback across all key dimensions: claims/evidence, relation to prior work, originality, significance, clarity, and reproducibility. Also provides formative feedback on incomplete drafts, proposals, and research code repositories. MANDATORY TRIGGERS: review paper, ICML review, paper review, evaluate paper, research paper feedback, ML paper review, conference review, academic review, paper critique, NeurIPS review, ICLR review, project proposal, research proposal, paper draft, early feedback, incomplete paper, work in progress, WIP review, review repo, review codebase, research project review