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Data Storytelling Framework Guide

data-storytelling

sickn33/antigravity-awesome-skills

This skill guides the process of transforming complex, raw data into compelling, actionable narratives. It covers the core structure (Setup, Conflict, Resolution), narrative arcs, and the three pillars (Data, Narrative, Visuals) needed to create high-impact presentations for executives, investors, and non-technical stakeholders. It ensures insights drive clear decisions.

Pysam Genomic Toolkit

K-Dense-AI/claude-scientific-skills

Pysam offers Python bindings to htslib for reading and writing SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences, enabling coverage stats, pileup analysis, variant queries, and seamless integration into NGS pipelines.

Institutional Stock Research Analysis

xvary-stock-research

sickn33/antigravity-awesome-skills

This skill provides institutional-depth equity analysis by combining public SEC EDGAR filings and real-time market data. It can generate structured, verdict-style memos, score stocks across four key pillars (Momentum, Stability, Financial Health, Upside), and perform side-by-side comparisons of two tickers, enabling data-driven investment decision support without requiring proprietary terminal access.

Python Genomic File Processing

K-Dense-AI/scientific-agent-skills

A Python library for reading, querying, filtering, and writing genomic file formats including SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, and tabix data. Supports pileup, coverage analysis, indexing, and CRAM reference operations with HTSlib integration. Ideal for bioinformatics workflows requiring low-level streaming access to genomic data.

Academic Research Literature Lookup

research-lookup

K-Dense-AI/scientific-agent-skills

Compile verified scholarly evidence and references for scientific manuscripts or research briefs. Runs multi-pass Parallel Search with Extract source verification, ranked deduplication, and optional Research/Chat backends to deliver a manuscript-ready research packet targeting 60 unique references.

Configure Clari API Authentication And Export

clari-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up and securing API access for Clari. Learn how to generate API tokens, configure environment variables, and test connectivity to export critical revenue intelligence and forecast data to data warehouses like Snowflake or BigQuery. Includes steps for both standard Clari API and Copilot API integration.

Advanced Snowflake Performance Debugging

snowflake-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for deep debugging complex Snowflake issues. This guide covers advanced techniques including detailed query profiling (spill analysis), diagnosing lock contention and transaction conflicts, analyzing metadata operations, and optimizing partition usage. Use it when standard troubleshooting fails to address slow queries or warehouse performance bottlenecks.

Diagnosing Common Snowflake Errors

snowflake-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive quick reference guide for diagnosing and resolving common operational and compilation errors encountered when working with Snowflake. It provides actionable solutions for issues like 'Object Does Not Exist', connectivity failures, authentication problems, and SQL syntax mistakes across various programming languages and drivers (Python, Node.js).

Power BI Semantic Model Engineering

data-goblin/power-bi-agentic-development

Design, build, refresh, and audit Power BI / Analysis Services tabular semantic models from the terminal: star schema, relationships, measures, calculation groups, RLS roles, incremental refresh, VertiPaq optimization, and Copilot readiness.

Scientific Data Visualization Advisor

scipilot-figure-skill

Haojae/scipilot-figure-skill

A specialized tool for scientific data visualization, acting as a visualization advisor to analyze data, recommend chart types, prevent common errors, and generate publication-grade figures.

Robustness and Sensitivity Testing In Accounting Research

brycewang-stanford/Awesome-Journal-Skills

This comprehensive guide details the methodological requirements for building a robust robustness section in accounting and empirical research manuscripts. It covers four critical pillars: substituting accounting measures, controlling for institutional/governance variables, executing placebo tests, and advanced endogeneity follow-ups. It helps authors ensure their primary findings withstand stringent academic scrutiny.

Identifying Results and Assumption Robustness for Economics

aejmic-identification

brycewang-stanford/Awesome-Journal-Skills

A comprehensive guide for authors aiming to rigorously prove the validity and robustness of their economic findings for top-tier journals. It covers three major pillars: pure theory (identifying load-bearing assumptions), structural econometrics (mapping parameters to data features), and experimental design (defining the estimand). Learn how to move beyond 'convergence' and establish true identification.

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