Results for “variational-inference”

汇总某个经管实证变量在文献中的测算口径、数据来源、模型角色和项目可用性

Analyzing pre-change impact across vertical (dependency chains, files) and horizontal (pattern consistency, naming) dimensions. Use to estimate blast radius before a refactor. No code.

Transforms lessons learned into domain-organized memory instructions that persist across VS Code contexts, with global and workspace scopes.

Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases, covering components, composables, and stores with behavior-first assertions.

Visual Instruction Tuning

Temporal interval algebra for reasoning about time relationships in planning and knowledge representation

Imported skill _template from vercel

Influence Functions in Deep Learning

Builds a 3D volatility surface for any optionable ticker, mapping implied volatility across strike price and time to expiration to identify cheap, expensive, or anomalous options.

Expert in creating opening lines, thumbnails, and hooks that stop the scroll. Covers curiosity gaps, pattern interrupts, emotional triggers, and platform-specific hooks. Knows how to earn attention in the first 3 seconds without resorting to clickbait. Use when "hook, opening line, scroll stopper, headline, first line, attention grab, thumbnail, clickable, " mentioned.

Structured visual QA verdict for screenshot-to-reference comparisons

"Feature importance" is ambiguous.

Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision

Multimodal Few-Shot Learning with Frozen Language Models

Use when annotating VCF files with flanking sequence information (INFO/FS tag) or masking regions/variants in flanking sequences.

A git SHA pins the transformation.

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.

Create clear, effective data visualizations with chart selection, color theory, and annotation best practices using the inference.sh CLI.

Scan for viral app opportunities from trends, gaps, and user pain points

VILA: On Pre-training for Visual Language Models

Conventions and helpers for lightweight relationships between entities expressed as frontmatter references (not first-class Binding entities). Use when linking two entities with a simple, unscoped, untemporal relationship — 'this work item blocks that one', 'this decision relates to that work item'. For scoped/temporal relationships, use binding-management instead.

Applied Virology Design Skill

Multimodal Learning with Transformers: A Survey