dashfix
Enforces plain-hyphen usage when writing or substantively editing project prose, including documentation, READMEs, and UI copy. Also supports auditing, scoring, and cleaning up dash usage.
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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetEnforces plain-hyphen usage when writing or substantively editing project prose, including documentation, READMEs, and UI copy. Also supports auditing, scoring, and cleaning up dash usage.
Supports distributed computing for datasets larger than RAM. Covers parallel file processing, distributed machine learning, and scaling existing pandas or NumPy code across clusters.
Explores uploaded Excel workbooks and CSV files through aggregation, filtering, joins, statistics, and pivot tables. Supports multiple sheets and exports results to CSV, JSON, or Markdown.
Analyzes spreadsheet data from Excel and CSV files. Produces insights, visualizations, and reports.
Selects statistical tests, generates analysis code, and applies four rounds of review. Interprets results and reports p-values, effect sizes, and confidence intervals for research papers.
Analyze, transform, clean, and visualize structured datasets using Python REPL, pandas, numpy, and plotting libraries. Trigger with "analyze data", "process CSV", "EDA", "generate plots", "statistical summary", or when computing numerical results.
Provides guidance for data analysis, visualization, and Jupyter Notebook development. Covers pandas, matplotlib, seaborn, and NumPy.
Analyzes CSV datasets with data quality assessment, statistical analysis, and automated missing-value detection and filling. Creates Plotly Dash dashboards to explore trends and visualize results.
Supports analyst-style conversations about internal data, metrics, telemetry, users, revenue, funnels, trends, and distributions. Produces ad hoc SQL, charts, and data exports against local or cloud ClickHouse.
Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design.
Collects files and runs searches to produce structured context manifests for other agents. Operates read-only without writing code or making design decisions.
Discovers schemas and gathers analyst knowledge to generate data analysis skills with reference files. Supports iterative updates covering company terminology, metric definitions, tables, and common query patterns.
A growing collection of real, public skills. Descriptions and instructions indexed 25 Sept 2026.
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