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Found 1,440 Skills
Use this skill when building user interfaces in a Next.js project that uses shadcn/ui. Triggers include any request to create, update, or refactor React components, pages, forms, dialogs, tables, or layouts. Also use when the user asks about component installation, styling with Tailwind, form validation, toast notifications, or theming. Use this skill whenever the project stack involves shadcn/ui, Tailwind CSS, React Hook Form, Zod, or Sonner.
Run quality gates on implemented feature: tests, lint, type checks, and custom validation. Use after /feature-implement completes. Use for "validate feature", "run quality gates", "check feature", or "/feature-validate". Do NOT use for ad-hoc linting or debugging.
Review and revise content to remove AI-sounding patterns. Voice-agnostic editor that detects cliches, passive voice, structural monotony, and meta-commentary. Use when content sounds robotic, needs de-AIing, or voice validation flags synthetic patterns. Use for "edit for AI", "remove AI patterns", "make it sound human", or "de-AI this". Do NOT use for grammar checking, factual editing, or full rewrites. Do NOT use for voice generation (use voice skills instead).
Run Python quality checks with ruff, pytest, mypy, and bandit in deterministic order. Use WHEN user requests "quality gate", "lint", "verify code quality", "check python", or "pre-commit check". Use for pre-merge validation, CI/CD gating, or comprehensive code quality reports. Do NOT use for single-tool runs (run tool directly), debugging runtime bugs (use systematic-debugging), refactoring (use systematic-refactoring), or architecture review.
Run TypeScript type checking with tsc --noEmit and parse errors into actionable, file-grouped output. Use when validating TypeScript code before commits, after refactors, or when checking for type regressions. Use for "type check", "tsc", "TypeScript errors", "type validation", or pre-commit TypeScript verification. Do NOT use for linting, test execution, runtime errors, or JavaScript-only projects without tsconfig.json.
Safely merge GitHub pull requests using comprehensive pre-merge validation. Use this skill when the user asks to merge a PR, complete a PR workflow, or check if a PR is ready to merge. Validates CI/CD status, reviews, and conflicts before merging with the appropriate strategy.
Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.
Implements the Syncfusion React Rich Text Editor (RichTextEditorComponent) from ej2-react-richtexteditor, supporting HTML (WYSIWYG) and Markdown editing. Use this skill for toolbar configuration, image/video/audio insertion, paste cleanup, AI assistant integration, emoji picker, slash menu, mentions, import/export Word/PDF, form validation, and source code view in React applications.
Comprehensive guide for implementing, registering, and troubleshooting Syncfusion licensing across all platforms. Covers license key registration, license validation errors, RegisterLicense API, SyncfusionLicenseProvider configuration, trial vs. licensed versions, CI/CD build server setup, and platform-specific licensing requirements. Use this skill when users need help with Syncfusion license registration, licensing validation issues, or license-related troubleshooting.
Configurable gate validation skill. Use when running repository-local gate rules from gate_rules.yaml (command/structural/eda-contract), checking legacy experiment registry safety, or enforcing close-gate fail-closed validation.
Exploratory Data Analysis skill for CSV and parquet datasets with deterministic profiling, drift/anomaly scans, contract generation and validation, and optional memory writeback into skill-system-memory. The implementation is Polars-first (lazy scan for large files and early `--sample` head), includes high-cardinality guards for profile/importance/contract flows, and supports categorical correlation with Cramer's V. Use when building or reviewing tabular fraud/risk/data-quality workflows, profiling new datasets, checking leakage or drift, or saving/validating data contracts.
Assess data quality with checks for missing values, duplicates, type issues, and inconsistencies. Use for data validation, ETL pipelines, or dataset documentation.