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Found 463 Skills
Implement the Syncfusion Angular DropDownList component for single-value selection from a predefined list. Use this when building dropdown selectors, searchable dropdowns, filtered lists, grouped options, or cascading dropdowns. This skill covers data binding, filtering, templates, grouping, virtualization, form integration, styling, and API usage with @syncfusion/ej2-angular-dropdowns.
Write a structured architecture decision document — an RFC / design doc / technical doc that records *why* a non-trivial technical choice was made, not just what was built. Follows a six-part method: contextualize for a newcomer, state the architecturally-relevant requirements, design components against them with static + dynamic diagrams, weigh every alternative by pros / cons / risks (each risk with impact, probability, mitigation, contingency), record the decision and how it was made, then conclude and communicate. Writes in the language of the request. Reach for it whenever someone is choosing between technical options or documenting one — "write an RFC", "design doc", "architecture decision", "ADR", "tradeoff analysis", "technical documentation of an implementation", "help me decide between X and Y" — even if they never say "RFC". Also fits the retrospective variant: documenting an implementation after the fact (lessons learned, version history).
Use this skill whenever a lawyer or mediator needs help analyzing a dispute for mediation purposes. This includes: reviewing case materials (pleadings, contracts, correspondence, evidence) to identify issues in dispute, summarizing each party's position and interests, conducting legal analysis of the key issues, proposing mediation strategies or settlement directions, and preparing for mediation sessions. Trigger this skill when the user mentions 'mediation', 'dispute analysis', 'settlement', 'dispute resolution', 'identify issues in dispute', 'party positions', 'mediation brief', 'case analysis for mediation', 'ADR', 'mediation preparation', 'caucus strategy', 'settlement options', or any request to analyze a conflict between two or more parties with the goal of finding resolution. Also trigger when the user uploads case files and asks for a structured breakdown of who wants what, what the core disagreements are, or how the case might settle. Even if the user doesn't explicitly say 'mediation', trigger when the context involves analyzing opposing positions in a dispute with a resolution-oriented (rather than litigation-oriented) goal.
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
Clarify or discuss a proposed task, plan, design update, or ADR by resolving the highest-value unresolved decisions, decision criteria, trade-offs, and option boundaries until the inputs are ready for task creation, task planning, task/design updates, ADR writing, or safe implementation continuation. Use this as the default path when the user asks to clarify, discuss criteria, compare options, stress-test a design, or otherwise resolve material unresolved questions before proceeding. When clarification ends, resume the invoking workflow. It may also be used for general grilling when explicitly selected or when no other default grilling skill is available.
Propose multiple visual design variants for on-screen elements and let the human pick in the Argent Lens window. Use when the user asks for design alternatives / options / A-B choices for a screen or component, or any time you have produced more than one candidate look for an element and want a human decision before committing.
Evaluate strategic options by NPV vs ease of implementation. Use for project prioritization, resource allocation, and strategic decision making.
Use this skill when benchmarking compensation, designing equity plans, building leveling frameworks, or structuring total rewards. Triggers on compensation benchmarking, equity grants, stock options, leveling, pay bands, total rewards, salary ranges, and any task requiring compensation strategy or structure design.
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.
Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
Guide for Using RQData Data API. Used when you need to query RQData data interfaces and obtain financial data. Supports data queries for markets such as A-shares, Hong Kong stocks, futures, options, indices, funds, and convertible bonds, including HTTP API and Python API documentation.
Use when browsing available dedicated server options. Use when user asks "what servers are available", "show server prices", or "compare server plans". Do NOT use for listing owned servers (use zeabur-server-list instead).