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Found 414 Skills
TanStack Table v8 headless data tables for React. Covers column definitions, sorting, filtering (fuzzy/faceted), server-side pagination with TanStack Query, infinite scroll, virtualization (TanStack Virtual), column/row pinning, row expanding/grouping, column resizing, and reusable Shadcn-styled components. Prevents 15 documented errors including infinite re-renders, React Compiler incompatibility, and server-side state mismatches. Use when building data tables, fixing table performance, implementing server-side pagination, adding filtering/sorting, or debugging table state issues.
Guide for Workleap's logging library (@workleap/logging) that provides structured, composable logging for frontend TypeScript applications. Use this skill when: (1) Setting up logging in a Workleap frontend application (2) Creating or configuring loggers (BrowserConsoleLogger, CompositeLogger) (3) Understanding log levels (debug, information, warning, error, critical) (4) Building complex log entries with chained segments (withText, withObject, withError) (5) Using logging scopes to group related log entries (6) Styling log output in browser console (7) Composing multiple loggers to send logs to different destinations (8) Filtering logs by severity level (9) Integrating logging with LogRocket or other telemetry tools (10) Reviewing logging-related changes in pull requests (11) Questions about logging best practices specific to wl-logging
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
YAML querying, filtering, and transformation with yq command-line tool. Use when working with YAML files, parsing YAML configuration, modifying Kubernetes manifests, GitHub Actions workflows, or transforming YAML structures.
A Tushare data research skill for Chinese natural language. It converts requests like "How has this stock been performing lately?", "Help me check the financial report trend", "Which sector is the strongest recently?", "What are northbound funds buying?", "Export a market data report for me" into executable workflows for data acquisition, cleaning, comparison, filtering, export, and brief analysis. It applies to research scenarios such as A-shares, indices, ETFs/funds, finance, valuation, capital flows, announcements & news, sector concepts, and macroeconomic data.
Implement Syncfusion React TreeView component for hierarchical data display with node selection, drag-drop reordering, inline editing, and custom templating. Use this when building organizational charts, file systems, navigation trees, or any multi-level hierarchical interface. Covers selection modes, checkboxes, filtering, sorting, keyboard navigation, accessibility, and performance optimization with stateless templates.
Guide for implementing Syncfusion React ListBox component. Use this when working with list selection components, build dropdown-like lists with custom templates, enable multi-selection, implement drag-and-drop functionality, add filtering/searching to lists, create accessibility-compliant list boxes, or need to handle list item templates and styling. Perfect for selection menus, item pickers, dual-list transfers, and filterable item lists.
GitHub operations via `gh` CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available), bulk operations across many repos (script with gh api), or when gh auth is not configured.
Use this skill whenever the user wants to work with survey data using the `survy` Python library. Triggers include: loading or reading survey CSV/Excel/JSON/SPSS files, handling multiselect (multi-choice) questions, computing frequency tables or crosstabs, exporting survey data to SPSS (.sav) or other formats, updating variable labels or value indices, transforming survey data between wide/compact formats, filtering respondents, replacing values, adding/dropping/sorting variables, or any task involving survy's API (read_csv, read_excel, read_json, read_polars, read_spss, crosstab, survey["Q1"], to_spss, to_csv, to_excel, to_json, etc.). Also trigger when the user says things like "analyze my survey", "process questionnaire data", "build a survey analysis script", or "help me with survy". Always read this skill before writing any survy code — it contains the correct API, patterns, and gotchas.
Query, summarize, export, create, and edit a user's flomo memos through local desktop auth and the flomo API, without Chrome UI automation. Use when the user wants fast memo lookup, tag filtering, markdown export, lightweight memo creation, or direct text edits to existing memos.
Embedded CAN/CAN-FD debugging tool for interface scanning, message monitoring, test frame transmission, log recording, database file decoding, and bus statistics. Automatically triggered when users mention CAN, CAN-FD, DBC decoding, bus packet capture, USB-CAN joint debugging, message transmission, bus statistics, PCAN, Vector, slcan, CAN interface scanning, CAN ID filtering, ASC logs, BLF files. Also compatible with explicit invocation via /can. Even if users only say "check CAN messages", "send a test frame" or "decode DBC", this skill should be triggered as long as the context involves CAN bus communication.
Comprehensive guide for implementing Syncfusion Angular dropdown components including AutoComplete, ComboBox, DropDownList, ListBox, Mention, MultiSelect and MultiColumn ComboBox. Use this when building selection interfaces, data binding, filtering, cascading dropdowns, custom templates, and accessible dropdown experiences in Angular applications.