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Found 312 Skills
Verify and validate AI output before it reaches users. Use when you need guardrails, output validation, safety checks, content filtering, fact-checking AI responses, catching hallucinations, preventing bad outputs, quality gates, or ensuring AI responses meet your standards before shipping them. Covers DSPy assertions, verification patterns, and generate-then-filter pipelines.
Guide for implementing the Syncfusion WinUI ComboBox control (SfComboBox) for single and multiple selection with filtering and token display. Use this when working with searchable dropdowns, multi-select combo boxes, or editable combo boxes in WinUI applications. This skill covers selection modes, data binding, filtering, grouping, and custom item templates.
WeCom to-do list query skill, which supports filtering by creation time and reminder time, as well as pagination. It is applicable to scenarios where users need to browse the to-do overview, such as when they say "Check my to-do list", "What to-dos do I have", "What are my to-dos this week", "What to-dos are there recently", "Check my to-dos", "List all to-dos", etc. Note: This skill only returns to-do summary information (excluding content and assignees). If you need complete details, please use it together with wecomcli-get-todo-detail.
Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates with gene enrichment (gseapy) and ToolUniverse annotation tools (UniProt, Ensembl, OpenTargets). Supports CSV/TSV/H5AD input formats and any organism. Use when analyzing RNA-seq count matrices, identifying DEGs, performing differential expression with statistical rigor, or answering questions about gene expression changes.
Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user asks to input text and automatically get references, add citations to a paragraph/manuscript, find Nature-series or CNS support for statements, create text-to-reference correspondence, "分段引用", "自动给出引用", "Nature系列引用", "CNS及子刊", "支撑文献", "补引用", "找引用", or export EndNote/RIS/ENW/Zotero RDF.
Implement advanced filtering and sorting capabilities for APIs with query parsing, field validation, and optimization. Use when building search features, complex queries, or flexible data retrieval endpoints.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.
Exa.ai search API integration for neural and keyword web search with content retrieval. Use when implementing web search features, integrating Exa SDK (exa_py, exa-js), or retrieving web content. Triggers on: Exa, exa_py, exa-js, neural search, web search API, search_and_contents, searchAndContents, find_similar, findSimilar, domain filtering, date filtering, text extraction, page summaries, highlights, search auto mode, fast search, search categories, livecrawl, excluding domains, include text, exclude text, EXA_API_KEY.
Tavily: web search optimized for AI agents, answer synthesis, domain filtering, depth control
Tool for creating, querying, editing and managing Feishu Bitable. Supports 27 field types, advanced filtering, batch operations and view management. **Use this Skill when**: (1) You need to create or manage Feishu Bitable Apps (2) You need to add, query, modify or delete records (row data) in Bitable (3) You need to manage fields (columns), views and data tables (4) User mentions "Bitable", "bitable", "data table", "record", "field" (5) You need to batch import or update data in Bitable
Implement the Syncfusion React AutoComplete component for type-ahead suggestions and filtered dropdowns. Use this when working with AutoComplete input fields, local or remote data binding, filtering strategies, item/group templates, or virtualization in React applications. This skill covers installation, data binding, filtering, grouping, accessibility (WAI-ARIA), and API usage for ej2-react-dropdowns AutoComplete.