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Found 2,054 Skills
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.
Generate professional Hebrew documents including PDF, DOCX, and PPTX with full RTL support and proper Hebrew typography. Use when user asks to create Hebrew PDF, generate Israeli business documents, "lehafik heshbonit", "litstor hozeh", build Hebrew Word document, create Hebrew PowerPoint, or produce Israeli templates such as Heshbonit Mas (tax invoice), Hozeh (contract), Hatza'at Mechir (proposal), or Protokol (meeting minutes). Covers reportlab, WeasyPrint, python-docx, and pptxgenjs with bidi paragraph support. Do NOT use for OCR or reading existing documents (use hebrew-ocr-forms instead).
Clarify requirements before implementing by asking the minimum must-have questions. Use when a request is underspecified or ambiguous, when the user asks to “ask clarifying questions”, or when multiple plausible interpretations exist and you risk doing the wrong work.
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.
Identify the core constraints that truly define a domain, profession, role, product, or debate. Classify these constraints into World/Rules/Interpretation (Hard/Soft/Self-imposed) categories, then analyze how this set of constraints defines identity, completes the problem statement, frames the solution space, and explains actual behaviors. It is particularly useful for distinguishing solution divergences caused by different constraints despite the same goal, and identifying old interpretations that are mistakenly treated as hard facts. USE WHEN the user says 'constraint', 'find constraints', 'what are the constraints of this domain', 'essential constraints', 'what defines its boundaries', 'is this a hard constraint or self-imposed constraint', 'where are the boundaries', 'why does this behavior happen', 'constraint', '/ljg-constraint', or provides any domain/profession/role/product/debate and requests mapping of its defining constraints and solution space. NOT FOR deep-dive generators (use ljg-rank, which focuses on generative power rather than boundaries), vertical deep dives into a single viewpoint (use ljg-think), book decomposition (use ljg-book), or concept dissection (use ljg-learn).
OpenAPI (Swagger) 2.0 specification for describing REST APIs. Use when writing, validating, or interpreting Swagger 2.0 specs, generating clients/docs, or working with path/operation/parameter/response/schema/security definitions.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
Create, edit, and analyze office documents (PDF, DOCX, PPTX, XLSX). Use when working with PDFs, Word documents, PowerPoint presentations, or Excel spreadsheets. Covers text extraction, form filling, document creation, and data analysis.
Model, forecast, and interpret volatility using time-series models and options-implied measures. Use when the user asks about EWMA, GARCH models, implied volatility, volatility surfaces, volatility term structure, or the VIX. Also trigger when users mention 'volatility smile', 'volatility skew', 'realized vs implied vol', 'volatility risk premium', 'vol clustering', 'mean-reverting volatility', 'options pricing inputs', 'RiskMetrics', 'decay factor', or ask how to forecast future volatility for risk management.
Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale. Triggers: "document translation", "batch translation", "translate documents", "DocumentTranslationClient".
Apply signaling theory (Spence, 1973) to analyze how agents communicate private information through costly, credible signals under information asymmetry. Use this skill when the user needs to evaluate whether a corporate action serves as a credible signal, analyze dividend or IPO signaling, assess separating vs pooling equilibria, or when they ask 'why do firms pay dividends', 'is this signal credible', or 'how does underpricing signal quality'.