eric861129/SKILLS_All-in-one

Search, preview, and download open-source AI agent skills for Claude Code, Codex, ChatGPT, and MCP workflows.

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52Stars on the repository
199Mods indexed here, across every type
4mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

hypogenic

49

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex needs its repo

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use…

not rated 52 4mo ago A 69 tokens copy · 95% MIT

kaggle

50

eric861129/SKILLS_All-in-one

Skill Claude Code

Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, badges, or anything Kaggle-related. Handles account setup, competition reports, dataset/model downloads, notebook execution, competition submissions, badge collection, and general Kaggle…

not rated 52 4mo ago B 70 tokens original MIT

kaggle

51

eric861129/SKILLS_All-in-one

Skill Claude Code

Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, badges, or anything Kaggle-related. Handles account setup, competition reports, dataset/model downloads, notebook execution, competition submissions, badge collection, and general Kaggle…

not rated 52 4mo ago B 70 tokens copy · 100% MIT

eric861129/SKILLS_All-in-one

Skill Claude Code needs its repo

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework…

not rated 52 4mo ago A 89 tokens copy · 100% MIT

matlab

53

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when…

not rated 52 4mo ago B 93 tokens copy · 88% MIT

matplotlib

54

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for…

not rated 52 4mo ago A 77 tokens copy · 83% MIT

ml-pipeline

55

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when…

not rated 52 4mo ago A 123 tokens copy · 97% MIT

mssql

56

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent…

not rated 52 4mo ago B 84 tokens copy · 100% MIT

mysql

57

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks…

not rated 52 4mo ago B 79 tokens copy · 100% MIT

networkx

58

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks…

not rated 52 4mo ago A 85 tokens copy · 83% MIT

octav-api

59

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Integrate with Octav API for cryptocurrency portfolio tracking, transaction history, and DeFi analytics across 65+ blockchain networks. Use when building applications that need to: (1) Track wallet balances and net worth across multiple chains, (2) Query transaction history with filtering and search, (3) Monitor DeFi…

not rated 52 4mo ago B 136 tokens original MIT

pandas-pro

60

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series…

not rated 52 4mo ago A 87 tokens copy · 95% MIT

plotly

61

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

not rated 52 4mo ago A 48 tokens copy · 89% MIT

polars

62

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

not rated 52 4mo ago A 69 tokens copy · 81% MIT

postgres-pro

63

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.

not rated 52 4mo ago A 41 tokens copy · 94% MIT

postgres

64

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection.…

not rated 52 4mo ago B 79 tokens copy · 89% MIT

rag-architect

65

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic…

not rated 52 4mo ago A 73 tokens copy · 92% MIT

recommendations

66

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer "what would I like" questions, (3) provide personalized recommendations based on preferences, (4) rank…

not rated 52 4mo ago A 108 tokens original MIT

spark-engineer

67

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure…

not rated 52 4mo ago A 75 tokens copy · 98% MIT

sql-pro

68

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs…

not rated 52 4mo ago A 115 tokens copy · 92% MIT

usfiscaldata

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eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to…

not rated 52 4mo ago A 106 tokens copy · 100% MIT

vaex

70

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large…

not rated 52 4mo ago A 100 tokens copy · 88% MIT

x-twitter-scraper

71

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

X API & Twitter scraper skill for AI coding agents. Builds integrations with the Xquik REST API, MCP server & webhooks: tweet search, user lookup, follower extraction, engagement metrics, giveaway contest draws, trending topics, account monitoring, reply/retweet/quote extraction, community & Space data, mutual follow…

not rated 52 4mo ago A 117 tokens original MIT

zarr-python

72

eric861129/SKILLS_All-in-one

Skill Claude CodeCodex

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

not rated 52 4mo ago A 42 tokens copy · 95% MIT

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