8 676 development skills from 759 authors. They write and change code. Half of them fit into 1 830 tokens or less — that is what one costs your context window when the agent loads it. 1 213 ship runnable scripts rather than instructions alone. 42 of them cannot work without an MCP server, most often rube. We also found 1 172 copies of these same skills sitting in other people's repositories — counted once here, not 1 172 times.
8 676 unique 759 authors 5 250 updated this month 1 369 from vendors
Generate structured CSV files from Python data using the csv module for tabular data export.
Master Excel lookup functions (VLOOKUP, HLOOKUP, INDEX/MATCH, XLOOKUP) for single and multiple criteria.
Creating technical diagrams and exploded-view illustrations using Python Pillow with geometric primitives and text annotations.
Computing pull request statistics (merge time, top contributors) from gh CLI JSON output using jq.
Using the gh CLI to search and list GitHub issues and pull requests with date filters and label queries.
Manipulate Word .docx files with python-docx, including handling split placeholders across runs and conditional sections.
Guide for mapping Python collection types and operations to Scala equivalents.
Guide for translating Python functional patterns (map, flatMap, Option, monads) to idiomatic Scala.
Guide for writing idiomatic Scala including naming conventions, error handling, and pattern matching.
Guide for translating Python classes, inheritance, ABC, generics and builder patterns to idiomatic Scala.
Reference for translating Python syntax constructs (enums, dataclasses, type vars, protocols) to Scala equivalents.
Reading and analyzing GLM NetCDF output with Python netCDF4 and pandas for RMSE evaluation.
How to use `gh api` with pagination to retrieve all results from GitHub REST API endpoints, including PRs and issues.
Analyze GitHub issues for a date range, counting totals, bug reports (by label substring), and closed bug reports.
Compute PR statistics (total, merged, closed, avg merge time, top contributor) from GitHub API data using Python or jq.
Implementing immutable fluent builder pattern in Scala as a translation of Python classes with method chaining, emphasizing immutability and type safety.
Using the circe library for JSON encoding, decoding, and manipulation in Scala as a replacement for Python's json module, covering the Json ADT, parsing, and path traversal.
Translating Python Enum classes to Scala sealed abstract classes or sealed traits with companion objects, preserving value fields and exhaustive pattern matching.
Retrieve pull request and issue data from GitHub repositories using the gh CLI with specific filters and JSON output for downstream processing.
Process JSON data from GitHub CLI using jq to calculate metrics like average merge times, counts, and top contributors.
Mapping Python's functional tools to idiomatic Scala equivalents, including lambdas and collection methods.
Mapping standard and common libraries from Python to Scala, including datetime, decimal, and JSON.
Translating Python classes, inheritance, and generic variance to Scala equivalents.
Basic syntax and type mapping from Python to Scala, including primitive types and common control structures.
Covers advanced Excel lookup functions including VLOOKUP, INDEX/MATCH, and XLOOKUP for multi-dimensional data retrieval.
Provides utility functions for reading, manipulating, and writing JSON data structures efficiently in Python.
Techniques for applying security fixes to Java projects using git, diffs, and Maven.
Skills for querying GitHub API data using the `gh` CLI, specifically for extracting PR and issue metrics.
Procedures for setting up the python environment, installing dependencies, and verifying installations.
Create clean technical posters and diagrams using the Python Pillow library, including shape drawing, typography placement, and annotation.
Guide on using the Python pypdf library to read, write, and fill PDF forms programmatically.
Use Trivy for offline vulnerability scanning of dependency files like package-lock.json.
Provides techniques for parsing and extracting data from JSON files in Python.
Techniques to find specific data points in nested Python dictionaries using recursion.
Fetch repository metrics, issues, and pull requests over a specific date range using the GitHub Search API.
Parse datetime strings and compute time durations/averages for datasets (like PR merge times) in Python.
A skill for replacing placeholders and handling conditional blocks in python-docx.
Guide for using Circe in Scala 2.13 for parsing and generating JSON, specifically when translating Python JSON handling.
Guide for translating Python TypeVars and generics to Scala covariant and contravariant types.
Guide for translating Python @overload and dynamic typing (Any, Union) to Scala method overloading and type matching.
Reading and processing NetCDF outputs from models like GLM using Python and xarray.
Using openpyxl to read, write, and modify Excel files while preserving formatting and using formulas.
Enhanced npm vulnerability scanning with Trivy supporting multiple severity levels and complete metadata extraction
Aggregate and validate GitHub API data for metrics calculation with comprehensive error handling.
Query GitHub REST API with pagination and date filtering for repository data (PRs, issues).
Working with Word documents (DOCX) using python-docx library with proper text replacement strategies.
Using the GitHub REST Search API to query PRs and issues with date filtering, pagination, and field extraction.
Robust python-docx template filling that handles split runs, conditional sections, nested tables, headers, and footers.