“arize”的搜索结果

Filter rows from Excel or previously converted Parquet files, a format designed for efficient data storage. Summarize matching records by group with counts, percentages, and totals, then export the summary to Excel.

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• Count records containing a specified risk level by work category
• Calculate group shares among matching records
• Summarize large datasets already converted to Parquet

Filter rows from a selected Excel sheet, summarize category counts and percentages, and export the required columns to a new workbook. The workflow also cleans filter values, renames columns, and provides a download link.

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• Extract rows matching a specific group
• Summarize category counts and percentages
• Export selected columns with clearer names

Turn an AI coding session into a concise team learning document. Summarize the problem, decisions, solution, useful tools, and pitfalls, then publish the Markdown document to the team knowledge base through TeamAI.

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• Document the solution to a difficult problem
• Share a useful workflow or pattern
• Capture decisions and pitfalls from a long session

Check current weather and forecasts for a city, region, airport code, or coordinates. Summarize conditions, temperature, rain, and wind using an available web tool or wttr.in to help plan outings and travel.

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• Checking weather and temperature before going out
• Reviewing rain forecasts for a travel destination
• Checking feels-like temperature and wind

Analyze TRES Finance XLSX reports and summarize the findings. Identify report types from sheets and columns, check balances, transactions, cost basis, or ERP synchronization, and highlight discrepancies, key metrics, and items requiring follow-up.

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• Investigating failed reconciliation checks and large gaps
• Reviewing portfolio value and major holdings
• Summarizing transactions and realized gains or losses

Organize research project knowledge in an Obsidian vault, a folder of notes. Summarize existing repository materials, maintain paper, experiment, result, and writing notes, and synchronize daily progress without MCP or API keys.

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• Import existing research materials into Obsidian as summaries
• Keep daily progress and project memory synchronized
• Connect paper notes with experiments, results, and writing

[omh] Huge PDF or document to read in full: read a very large PDF, contract, manual, or report through Hermes in page-anchored ranges with a coverage ledger. Use when the user says: long-document-reading, long document reading, summarize this pdf, read this pdf, process this pdf, go through this pdf, summarize this document, read this document.

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Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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Arize Phoenix observability platform setup for LLM debugging and evaluation

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Linearize Simulink models. Use when obtaining linear time invariant or linear parameter varying models from Simulink models.

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Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).

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TreeSummarizedExperiment has extended SingleCellExperiment to include hierarchical information on the rows or columns of the rectangular data.

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Rank and summarize the user's own WeChat Moments (朋友圈) feed so real life events and genuine information rise above promotion and small talk, weighted by how much the user actually talks to each author. Use when the user says 'summarize my Moments', 'read my 朋友圈', 'what did I miss on Moments', 'rank my Moments', or 'check my WeChat Moments'.

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Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

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Use when ready to document findings, generate a report, or summarize binary analysis results. Compiles analysis findings into structured reports - correlates facts from triage/static/dynamic phases, validates hypotheses, generates documentation with evidence chains. Keywords - "summarize findings", "generate report", "document analysis", "what did we find", "write up results", "export findings"

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Fetch and summarize review feedback and conversation from a GitHub PR (unresolved review threads, review bodies, and PR conversation comments) without making changes. Use when the user asks to "fetch PR comments", "show PR comments", "check PR for unresolved comments", "list review comments", "what comments are on the PR", "show unresolved threads", or "summarize PR feedback".

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Summarize, organize, and normalize messy research materials into an IEEE-ready writing brief before manuscript drafting. Use when Codex needs to process a folder or collection of experiment logs, code files, AI chat exports, idea notes, literature summaries, related-work notes, copied introduction excerpts, Zotero-derived paper summaries, tables, figures, or scattered Markdown/text records and convert them into structured inputs for ieee-writing, ieee-experiment, ieee-citation, ieee-reviewer, or ieee-response.

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Use when processing, summarizing, or extracting insights from meeting notes in the Obsidian vault. Triggers on "summarize meetings", "process meetings", "meeting summaries", "extract from meetings", "meeting insights".

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Analyze, summarize, and extract insights from DeLive transcription sessions. Use when: user mentions DeLive, transcription, meeting transcripts, live captions, audio transcription, AI correction, corrected transcript, or transcript analysis; user wants to search, retrieve, summarize, correct, or process recorded transcripts; user asks about meeting notes, action items, discussion summaries, or transcript quality from DeLive. Requires DeLive app running locally with its MCP server or REST API.

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Summarize long Isabelle or Coq proof scripts into high-level logical steps and reasoning flow. Use when users need to: (1) Understand the structure of a complex proof, (2) Document proof strategies for others, (3) Extract the key reasoning steps from verbose proof scripts, (4) Create readable proof outlines from detailed tactical proofs. Produces hierarchical outlines with moderate detail showing proof structure, main cases, key lemmas, and reasoning flow for both Isabelle/Isar and Coq proofs.

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Generate concise summaries of source code at multiple scales. Use when users ask to summarize, explain, or understand code - whether it's a single function, a class, a module, or an entire codebase. Handles function-level code by explaining intention and core logic, and large codebases by providing high-level overviews with drill-down capabilities for specific modules.

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Generates clear and structured pull request descriptions from code changes. Use when Claude needs to: (1) Create PR descriptions from git diffs or code changes, (2) Summarize what changed and why, (3) Document breaking changes with migration guides, (4) Add technical details and design decisions, (5) Provide testing instructions, (6) Enhance descriptions with security, performance, and architecture notes, (7) Document dependency changes. Takes code changes as input, outputs comprehensive PR description in Markdown.

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Summarizes the complete lifecycle of a bug across code versions, tracking its introduction, detection, fixing attempts, and regression history. Use when users need to: (1) Understand how a bug evolved over time, (2) Trace when and how a bug was introduced, (3) Analyze fix attempts and their effectiveness, (4) Identify regression patterns, (5) Generate bug lifecycle reports for documentation or post-mortems. Takes a repository, bug identifier, and version history as input.

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