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spark-basics
Provides essential PySpark code snippets for common data operations like reading/writing files, transformations, joins, and window functions. Focuses on practical patterns for ETL jobs with optimization tips.
check-codex
Fetches GitHub Codex AI feedback for the current pull request, categorizes issues by priority (P1-P3), and presents actionable summaries. Integrates with session startup and PR review workflows to catch AI suggestions before merging.
ios-code-review
This skill reviews iOS Swift code for a specific app (Payoo Merchant), focusing on critical issues like RxSwift memory leaks, retain cycles, and Clean Architecture violations. It provides actionable feedback with severity levels and code examples, but is tightly coupled to one project's conventions.
discover-important-function
When given a project codebase, this skill observes the important functions in the codebase for future action.
SQLite
Expert guidance for SQLite database with better-sqlite3 Node.js driver including database setup, queries, transactions, migrations, performance optimization, and integration with TypeScript. Use this when working with embedded databases, better-sqlite3 driver, or SQLite operations.
db-wal-recovery
Guidance for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible. This skill should be used when tasks involve database recovery, WAL file analysis, decrypting database files, or recovering missing/corrupted SQLite data. Helps avoid common pitfalls like fabricating data based on patterns instead of actual recovery.
explain-code
Explain what code does in plain English
python-dev
Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).
analyze-ci
Analyze failed GitHub Action jobs for a pull request.
fuzzing-python
Creating fuzz driver for Python libraries using LibFuzzer. This skill is useful when agent needs to work with creating fuzz drivers / fuzz targets for Python project and libraries.
harbor
Harbor framework for agent evaluation. Use when: (1) Running harbor commands (harbor run, harbor tasks check), (2) Creating/validating SkillsBench tasks, (3) Understanding task format or debugging failures.
pareto-optimization
Multi-objective optimization with Pareto frontiers. Use when optimizing multiple conflicting objectives simultaneously, finding trade-off solutions, or computing Pareto-optimal points.
light-curve-preprocessing
Preprocessing and cleaning techniques for astronomical light curves. Use when preparing light curve data for period analysis, including outlier removal, trend removal, flattening, and handling data quality flags. Works with lightkurve and general time series data.
whisper-transcription
Transcribe audio/video to text with word-level timestamps using OpenAI Whisper. Use when you need speech-to-text with accurate timing information for each word.
python-scala-oop
Guide for translating Python classes, inheritance, and object-oriented patterns to Scala. Use when converting Python code with classes, dataclasses, abstract classes, inheritance, properties, static methods, class methods, or design patterns.
ssl-certificate-management
Manage SSL/TLS certificates with automated provisioning, renewal, and monitoring using Let's Encrypt, ACM, or Vault.
python-packaging
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
data-reconciliation
Imported from https://github.com/benchflow-ai/SkillsBench.
jira-mapper
This skill synchronizes SpecWeave project increments with JIRA by exporting increments as epics/stories/subtasks and importing JIRA items back, ensuring content flows from SpecWeave to JIRA while status updates flow back, maintaining full traceability.
context-loader
This skill explains how SpecWeave optimizes context usage through Claude's native progressive disclosure mechanism and sub-agent parallelization, enabling efficient token management and scalable workflows by loading only relevant skills and isolating context windows.
brownfield-onboarder
Intelligently merges existing CLAUDE.md backups into SpecWeave structure by extracting project knowledge and distributing it to appropriate folders, preventing main CLAUDE.md bloat with both Quick Start and Comprehensive modes.
plugin-development
This skill provides expert guidance for developing Claude Code plugins, covering plugin structure, slash commands, auto-activating skills, and configuration best practices to ensure production-ready results.
feature-engineer
Transforms raw data into production-ready ML features through automated quality assessment, feature creation, selection, and encoding, ensuring robust models with integrated validation and documentation.