Market uncertainty makes risk signals and hedge choices difficult to compare. This skill routes requests into structured fear, volatility, hedging, and research-quality workflows.

Portfolio research can become fragmented across profiles, theses, themes, watchlists, and alerts. This skill routes each request into a structured workflow powered by LLMQuant Data.

Market research can become fragmented across macro indicators, sentiment measures, and event markets. This skill routes each question to a focused workflow with dates, data windows, caveats, and portfolio context.

Macro research often mixes indicators, market pricing, and portfolio exposures without consistent dates or assumptions. This skill structures the analysis through focused LLMQuant workflows.

Investors often have data but lack a consistent framework for comparing business quality, valuation, growth, and risk. This skill routes the question to a suitable investor lens and grounds the analysis in dated LLMQuant Data.

Equity derivative analysis requires reliable contract terms, market data, and clear risk framing. This skill routes each request through a focused, evidence-based workflow.

Financial research requests can become inconsistent when filing, ownership, and macro questions use different evidence standards. This skill routes each request to a focused workflow that uses dated LLMQuant Data and clearly separates retrieved facts from interpretation.

Local iOS infrastructure limits Maestro testing across development and CI environments. This skill guides remote setup, execution, diagnosis, artifact capture, and cleanup through Limrun.

Local Android builds require large toolchains and can vary across machines. This skill runs Gradle remotely, signs artifacts, and supports Play Store delivery.

Detox setup on remote iOS simulators requires aligned mediator, tunnel, and session settings. This skill provides a repeatable workflow for configuration, validation, and troubleshooting.

Testing Android APKs across remote environments requires device setup, control, and diagnostics. This skill uses Limrun workflows to install, interact, inspect, record, and troubleshoot emulator sessions.

Turning a project or website into a concise launch video requires research, storyboarding, motion, audio, and export work. This skill coordinates that workflow and creates sharing assets.

Turning a project into a concise launch video requires product analysis, scripting, animation, audio, and rendering. Brag coordinates that workflow with Hyperframes and delivers a video, poster, storyboard, and share copy.

Complex delivery pipelines can lose intent or mishandle repository state. This skill guides no-mistakes runs through review, testing, publication, and CI decisions.

GitHub work often requires many commands across issues, pull requests, CI, releases, and projects. This skill directs agents to gh-axi for current commands and task execution.

Browser tasks often require real interaction and diagnostics that simple HTTP requests cannot provide. This skill controls Chrome through a focused command-line workflow.

Visual projects need new images, precise edits, and assets that fit existing designs. This skill guides those workflows through the Eye.Art remote MCP service.

Long subagent responses consume context and shorten productive coding sessions. This skill selects compact investigator, builder, and reviewer workflows for focused tasks.

Demo data can hide layout failures, missing states, and incorrect formatting. This skill guides realistic fixture creation, development-only comparisons, and reports with targeted fixes.

Outdated Motoko examples can cause compiler errors and unsuitable backend designs. This skill provides modern language references, modular actor patterns, and mops dependency workflows.