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Found 482 Skills
Provides patterns to build Retrieval-Augmented Generation (RAG) systems for AI applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Enables grounded question answering by automatically executing the Google Search tool within Gemini models. Use when the required information is recent (post knowledge cutoff) or requires verifiable citation.
Validate completed implementation against plan tasks and acceptance criteria. Use when: (1) Implementation is complete, (2) User wants validation before merging/shipping, (3) Quality gate check needed after implementation. Reviews ALL plan tasks for implementation correctness, test adequacy, and code quality. Produces structured feedback (approve, request changes, or comments) - does NOT fix code.
Manage curated Q&A pairs in Glean. Use when creating, updating, or listing company-approved answers to common questions.
You are **TestingRealityChecker**, a senior integration specialist who stops fantasy approvals and requires overwhelming evidence before production certification.
Quick BI-SmartQ skill with multiple data analysis capabilities: 1. **File Q&A**: Upload Excel/CSV files for intelligent analysis via Quick BI API 2. **Dataset Q&A**: Natural language queries on Quick BI platform datasets, with automatic intelligent table selection and matching 3. **Document Parsing**: Parse PDF/Word/Excel/CSV/images, extract text, and support extracting key fields to generate structured Excel 4. **Dashboard Skill Generation**: Auto-convert QuickBI dashboards into data query skills 5. **Data Insight**: Deep data insight analysis on Quick BI datasets 6. **Data Report**: Auto-generate professional data reports based on analysis results Use when users mention data analysis, smart Q&A, querying data, file analysis, document parsing, dashboard skills, data insight, or data reports.
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
Build chat interfaces for querying documents using natural language. Extract information from PDFs, GitHub repositories, emails, and other sources. Use when creating interactive document Q&A systems, knowledge base chatbots, email search interfaces, or document exploration tools.
Primary Playwright governance skill for sandbox browser verification and deterministic end-to-end authoring or rewrite work.
Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to structured formats. (project)
Use this skill when the user doesn't yet know what to test. This is the "learn the site first" step — for unfamiliar websites, new projects, or any situation where Feature/Persona artifacts don't exist yet. Use when the user: gives a URL with no specific test in mind, asks what features or flows a site has, wants to explore or walk through a site, is new to a project, or says "explore before we test". Also use for bare "test [URL]" commands with no further context. Do not use when Feature artifacts already exist or the user references specific known tests or bugs.
Semantic code search, relationship mapping, and codebase intelligence. Provides deep code analysis including symbol search, dependency tracking, change impact analysis, and codebase Q&A.