Skills Directory

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuma

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refac

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development wor

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the us

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the us

Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection",

Build and distribute Expo development clients locally or via TestFlight

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code"

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setti

Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that de

Replace the usage of `expect` and similar functions from `package:matcher` to `package:checks` equivalents.

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. U

Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines,

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implemen

Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipeline

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuma