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hkust-quant-society

Official

@HKUST-QUANT-SOCIETY

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5Public Repos
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33Published Skills

HKUST Quant Society provides quantitative finance research skills covering options Greeks, factor evaluation, risk profiling, and point-in-time fundamental analysis.

Skills Distribution
DomainBusiness, Fi...Quantitative Resea.. (30%)Options Pricing & .. (25%)Risk Management & .. (20%)Fundamental Resear.. (15%)

Agent Skills by hkust-quant-society

Showing 33 vetted skills indexed across 1 GitHub repositories.

HKUST-QUANT-SOCIETYHKUST-QUANT-SOCIETY

effect

Implements Effect v4 TypeScript services, schemas, and workflows using verified source references.

Official
Intermediate
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compose:parallel

Dispatch concurrent subagents to fix independent failures across separate problem domains.

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Intermediate
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compose:brainstorm

Guides collaborative design exploration before any implementation work begins.

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Advanced
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compose:ask

Routes user decisions through the question tool with autonomous fallback for headless execution.

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Intermediate
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compose:merge

Guides completion of development branches through structured merge, PR, or discard workflows.

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Advanced
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compose:verify

Enforces running verification commands before claiming work is complete or passing.

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Basic
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compose:plan

Generates detailed implementation plans with bite-sized TDD tasks from feature specifications.

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Intermediate
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compose:worktree

Creates isolated git worktree workspaces with baseline test verification before feature work.

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Intermediate
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compose:feedback

Evaluates code review feedback with technical verification before implementation.

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Intermediate
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compose:review

Dispatches a code reviewer subagent to evaluate git changes against requirements.

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Intermediate
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compose:report

Consolidates spec iterations into a final-state feature report and marks related specs.

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Intermediate
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compose:execute

Executes written implementation plans with task tracking, verification steps, and review checkpoints.

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Intermediate
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compose:tdd

Enforces test-driven development with red-green-refactor cycles before writing production code.

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Intermediate
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compose:new-skill

Guides authoring of new skill bundles with frontmatter and structured instructions.

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Basic
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compose:subagent

Executes implementation plans by dispatching fresh subagents per task with two-stage review gates.

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Advanced
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compose:debug

Diagnose bugs and test failures through a four-phase root cause investigation workflow.

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Intermediate
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options-greeks

Computes portfolio Greeks and validates GreeksProfile contracts for options positions.

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Intermediate
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options-vol-surface

Fits implied volatility surfaces from options chain CSV data into validated VolSurfaceResult outputs.

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Intermediate
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options-brainstorm

Clarifies options strategy intent and produces a validated OptionsSpec draft.

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Intermediate
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options-compose

Orchestrates options strategy clarification, volatility surface, Greeks, and backtest workflows.

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Intermediate
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infra

Executes infrastructure group tasks for development environments, component integration, testing, and observability.

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Intermediate
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agent

Executes Agent engineering tasks for tools, skills, context, and runtime integration.

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Intermediate
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factor-evaluation

Evaluates quantitative factors through the canonical QuantEvaluator and records contracts, provenance, and artifacts.

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Intermediate
HKUST-QUANT-SOCIETYHKUST-QUANT-SOCIETY

factor

Orchestrates factor research by composing DataAccess, FactorEngine, and QuantEvaluator capabilities.

Official
Advanced

Frequently Asked Questions About hkust-quant-society

FAQPage Schema
What tasks can I perform with HKUST Quant Society's skills?

You can compute options Greeks, build implied volatility surfaces, evaluate quant factors via the canonical QuantEvaluator, run point-in-time RAG research without lookahead bias, generate CICC/Huatai-style PDF research reports, and produce RiskProfile verdicts integrated with CI pipelines.

Who are these skills designed for?

They target quantitative researchers, options traders, risk analysts, and model developers organized into groups (options, factor, risk, model, strategy, fundamental, infra), each with named owners and orchestration patterns like ReAct and Orchestrator-Worker.

How do the quant skills enforce correctness and governance?

Skills use typed schema contracts (OptionsSpec, ModelSpec, RiskProfile, StrategyReport), human gates for model submission, deterministic CI compatibility flows, and point-in-time data enforcement to eliminate lookahead bias in research.

Do the skills include non-finance capabilities?

Yes. The manifest includes Cloudflare platform skills covering Workers, Pages, KV, D1, R2, Workers AI, Vectorize, and Terraform/Pulumi infrastructure, plus Effect TypeScript support and compose-based development discipline skills like TDD, review, and verification.

What are the prerequisites for using these skills?

Skills expect structured schema inputs (e.g., schemas.options.OptionsSpec, schemas.strategy.StrategySpec), access to shared components like DataAccess, FactorEngine, and QuantEvaluator, and group-based ownership assignments for orchestrated multi-step research tasks.