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Found 41 Skills
Expert guidance for using Task (taskfile.dev) automation tool to discover and execute project development commands
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
Add seabbs-bot as a collaborator with push permissions to a repository
Expert guidance for R package development following best practices for devtools, testthat, roxygen2, and R ecosystem tools
TypeScript/JavaScript testing practices with Bun's test runner. Activate when working with bun test, .test.ts, .test.js, .spec.ts, .spec.js, testing TypeScript/JavaScript, bunfig.toml, testing configuration, or test-related tasks in Bun projects.
Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.
Best practices for building CLI applications across languages. Covers CLI design principles (Unix philosophy, command structure, subcommands vs flags), argument parsing (required/optional args, flags, environment variables, config files, precedence), user interface (help text, version info, progress indicators, color output, interactive prompts), output formatting (human-readable vs machine-readable JSON/YAML, exit codes), error handling (clear messages, suggestions, debug mode), cross-platform considerations (paths, line endings, terminal capabilities), testing strategies (integration tests, output verification, exit codes), documentation (README, man pages, built-in help), and language-specific libraries. Activate when working with CLI applications, command-line tools, argument parsing, CLI utilities, argument handling, commands, subcommands, CLI frameworks, or building command-line interfaces.
Turn ideas into designs through collaborative dialogue. Use when user wants to brainstorm, design features, explore approaches, or think through implementation before coding.
Comprehensive data validation using Pydantic v2 with data quality monitoring and schema alignment for PlanetScale PostgreSQL. Use when implementing API validation, database schema alignment, or data quality assurance. Triggers: 'validation', 'Pydantic', 'schema', 'data quality'.
Analyse GitHub repository activity including issues, PRs, contributors, and engagement
Expert in streamlining and enhancing the development of AI Agent Applications, including AI app / agent / workflow code generation, AI model comparison and recommendation, tracing setup, and evaluation planning / setup / execution.
Library documentation via Context7. Use for API references, code examples, framework docs.