Explorar skills

Checks diagnosability through structured logs, metrics, traces, correlation IDs, and useful log levels. Use when auditing incident visibility.

Configures global exception handling middleware. Use when adding centralized error handling to .NET or Python backends.

Analyzes community health and delegates engagement tasks. Use when managing GitHub issues, discussions, and announcements.

Configures ESLint, Prettier, Ruff, mypy, and .NET analyzers. Use when setting up linting and formatting for a project.

Analyzes application logs: classifies errors, checks log quality, maps stack traces to source. Use when logs need review after test runs or during development.

Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.

Drives a Story through full pipeline (tasks, validation, execution, quality). Use when executing a Story end-to-end from kanban board.

Checks redundant fetches, N+1 loops, over-fetching, missing bulk operations, wrong caching scope. Use when auditing query efficiency.

Scores each test by portfolio value and returns KEEP/DELETE/MERGE/REWRITE. Use when pruning test-suite cost.

Configures environment variables and secrets protection. Use when setting up .env files and gitignore rules for a project.

Use when an evaluation run needs mandatory official-doc, MCP Ref, Context7, and current best-practice research with a structured research summary.

Upgrades .NET NuGet packages with breaking change handling. Use when updating .NET dependencies.