NoesisVision

Estrategias de prueba en Python utilizando pytest, metodología TDD, fixtures, mocking, parametrización y requisitos de cobertura.

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

Run coding agent benchmarks and verify results with nasde. Use this skill when the user wants to: - Run a benchmark (all tasks, single task, specific variant) - Re-run assessment evaluation on existing trial results - Check or verify results in Opik (traces, feedback scores, experiments) - Troubleshoot a failed benchmark run - View or compare trial results Even if the user doesn't say "benchmark"

Use when reviewing AI-generated code for architectural quality, design patterns, and engineering practices

Generate benchmark tasks from git history of the current or specified repository. Use this skill when the user wants to: - Create benchmark tasks based on real problems their team already solved (closed PRs, past commits, resolved issues) - Mine git history for good evaluation candidates - Turn a commit range or set of PRs into a NASDE benchmark - Build a regression test suite from their team's ac

Build diverse benchmark task suites from public GitHub repositories for testing universal skills. Use this skill when the user wants to: - Create a benchmark that spans multiple public repositories and languages - Test a universal skill (refactoring, test writing, code review, etc.) across diverse codebases - Curate a representative set of repos and tasks for cross-codebase validation - Build an e

Use when reviewing AI-generated code for architectural quality, design patterns, and engineering practices

Create coding agent benchmarks for evaluation with nasde. Use this skill when the user wants to: - Create a new benchmark project (set of tasks for evaluating coding agents) - Add tasks to an existing benchmark - Create or modify agent variants (configurations that control agent behavior) - Set up assessment dimensions and scoring criteria - Verify that a new benchmark's Docker environment and tes

Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design. Triggers on: domain modeling, aggregate design, 'entity', 'value object', 'repository', 'bounded context', 'domain event', 'domain service', code touching domain/ directories, rich domain model discussions.

Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.

Internal skill for developing and maintaining nasde-toolkit itself. Use this skill when: - Making changes to nasde-toolkit source code (CLI, runner, evaluator, config, agents) - Refactoring or adding features to the toolkit - Fixing bugs in the evaluation pipeline - Updating dependencies or integration points (Harbor, Opik, `claude` / `codex` CLI subprocess backends) This skill defines the verific

Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design. Triggers on: domain modeling, aggregate design, 'entity', 'value object', 'repository', 'bounded context', 'domain event', 'domain service', code touching domain/ directories, rich domain model discussions.

Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design. Triggers on: domain modeling, aggregate design, 'entity', 'value object', 'repository', 'bounded context', 'domain event', 'domain service', code touching domain/ directories, rich domain model discussions.

Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.

Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design. Triggers on: domain modeling, aggregate design, 'entity', 'value object', 'repository', 'bounded context', 'domain event', 'domain service', code touching domain/ directories, rich domain model discussions.

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

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

CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini individual subscriptions or API keys.

CLI para benchmarks y evaluaciones de agentes de codificación de IA — en tareas que ya entiendes, usando tus suscripciones individuales o claves de API de Claude / Codex / Gemini.