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Found 2,174 Skills
Debug NestJS issues systematically. Use when encountering dependency injection errors like "Nest can't resolve dependencies", module import issues, circular dependencies between services or modules, guard and interceptor problems, decorator configuration issues, microservice communication errors, WebSocket gateway failures, pipe validation errors, or any NestJS-specific runtime issues requiring diagnosis.
Debug Next.js issues systematically. Use when encountering SSR errors, hydration mismatches like "Text content did not match", routing issues with App Router or Pages Router, build failures, dynamic import problems, API route errors, middleware issues, caching and revalidation problems, or performance bottlenecks. Covers both Pages Router and App Router architectures.
Refactor Scikit-learn and machine learning code to improve maintainability, reproducibility, and adherence to best practices. This skill transforms working ML code into production-ready pipelines that prevent data leakage and ensure reproducible results. It addresses preprocessing outside pipelines, missing random_state parameters, improper cross-validation, and custom transformers not following sklearn API conventions. Implements proper Pipeline and ColumnTransformer patterns, systematic hyperparameter tuning, and appropriate evaluation metrics.
Guidelines for building clean, scalable APIs with Go standard library and NestJS TypeScript, covering security, validation, and modular architecture.
Adds documents to golden dataset with validation. Use when curating test data or saving examples.
Assigns confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).
Build modern monolith applications with Inertia.js - combining server-side frameworks (Laravel, Rails, etc.) with React/Vue/Svelte frontends without building APIs. Use when creating Inertia pages and layouts, working with Link component for navigation, building forms with Form component or useForm hook, handling validation and errors, managing shared data and props, implementing authentication and authorization, using manual visits with router, working with partial reloads, setting up persistent layouts, or configuring client-side setup.
Build conversational AI agents using Pydantic AI + OpenRouter. Use when creating type-safe Python agents with tool calling, validation, and streaming.
Accessibility testing for web applications using Playwright (@playwright/test) with TypeScript and axe-core. Use when asked to write, run, or debug automated accessibility checks, keyboard navigation tests, focus management, ARIA/semantic validations, screen reader compatibility, or WCAG 2.1 Level AA compliance testing. Covers axe-core integration, POUR principles (perceivable, operable, understandable, robust), color contrast, form labels, landmarks, and accessible names.
Conduct rigorous 5 Whys root cause analysis with guided questioning, quality scoring, and professional report generation. Use when performing root cause analysis, investigating problems, conducting 5 Whys sessions, troubleshooting recurring issues, or when user mentions "5 whys", "root cause", "why did this happen", "find the cause", or needs to identify underlying causes of defects, failures, or process problems. Includes validation tests, scoring rubric, and countermeasure development.
Guidance for working with the Beltic KYA (Know Your Agent) ecosystem - a credential-based trust framework for AI agents. Use when: (1) Working in any Beltic repository (beltic-spec, beltic-cli, beltic-sdk, fact-python, kya-platform, wizard, nasa), (2) Implementing agent credential signing/verification, (3) Using @belticlabs/kya SDK or beltic-sdk Python, (4) Understanding agent safety certification, (5) Working with verifiable credentials for AI. Triggers on: Beltic CLI commands, agent credentials, HTTP message signatures (RFC 9421), safety scores, KYB tier verification, trust chain validation.
Pre-commit security validation and secret detection. Runs gitleaks scan and validates configuration, integrates with pre-commit hooks to prevent credential leaks. Use when user mentions scanning for secrets, gitleaks, secret detection, credential scanning, pre-commit security, or .gitleaks.toml.