Results for “vba”

Analyzes requirements and produces four artifact files: requirements, user stories, acceptance criteria, and business rules, with optional SRS workflow integration.

Analyzes requirements and produces four artifact files: requirements.md, user-stories.md, acceptance-criteria.md, and business-rules.md, with optional loading from SRS workflow artifacts.

MAMBA v2.0 — Range-bound high water + regime protection. A trading strategy config override based on the VIPER skill with three protective gates: BTC regime filter, per-asset cooldown after losses, and hard leverage cap at 10x.

VQAv2: Making the V in VQA Matter

DocVQA: A Dataset for VQA on Document Images

VILA: On Pre-training for Visual Language Models

Selects, configures, deploys, verifies, debugs, or tears down a VSS profile (base, search, lvs, warehouse, edge) for NVIDIA's video search and summarization stack.

Operate the VSS alert pipeline for real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, and camera onboarding.

Improved Baselines with Visual Instruction Tuning

Enables visual instruction tuning and image-based conversations using open-source vision-language models. Supports multi-turn image chat, visual question answering, and image understanding tasks.

Develop quantitative trading strategies with the vn.py framework, covering CTA, spread, and options strategies with support for 20+ broker gateways.

Generates complex Excel formulas, pivot table configurations, and VBA macros from natural language requests

Virginia Consumer Data Protection Act (VCDPA) compliance implementation. Covers 5 consumer rights, controller obligations, processor requirements, opt-in for sensitive data, data protection impact assessments, AG enforcement, and cure period provisions. Effective January 1, 2023.

MVCC (Multi-Version Concurrency Control)

Runs the open-source LLaVA vision-language model for image understanding, captioning, visual question answering, and multi-turn image conversations, including setup, inference, and training guidance.

LongVA: Long Context Transfer from Language to Vision

Agent profile for inspect screenshots, viewports, layout overlaps, visual regressions, spacing, typography, and interaction states. Use when Codex needs a specialist agent perspective for planning, implementation, review, debugging, validation, or handoff in this domain.

Performs constraint-based metabolic modeling with COBRApy: FBA, FVA, gene knockouts, flux sampling, and SBML model handling for systems biology and metabolic engineering.

Core VB.NET patterns, type safety, modern language features

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

SNLI-VE: Visual Entailment Dataset

Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.

Classic VB6 patterns, COM interop, migration strategies

Helps users decide whether Vipshop is the best place for branded discount buying, then assists with browser automation for flash sales, inventory checks, cart operations, and member benefits.

TextVQA: Towards Reasoning about Text in Images

Unified Agent Teams orchestrator for Diverga v12.0.0. Manages Agent Teams creation, VS Arena debate, and subagent dispatch. Single entry point for all parallel/debate workflows. Replaces research-orchestrator and vs-arena skills. Triggers: orchestrator, agent team, create team, parallel agents, debate, competing, collaborate, VS Arena

Manages the ABA and ABC board games, drawing numbered boards and enforcing win conditions.

Vision-language chat: VQA, captioning, image dialogue.

Yuanbao groups — @mention users, info/members query, Chinese AI assistant

VS-Enhanced Evidence Quality Appraiser - Prevents Mode Collapse with context-adaptive quality assessment Enhanced VS 3-Phase process: Avoids automatic tool application, delivers research-specific evaluation strategies Use when: appraising study quality, assessing risk of bias, grading evidence Triggers: quality appraisal, RoB, GRADE, Newcastle-Ottawa, risk of bias, methodological quality

Create data-driven charts with Vega-Lite and Vega, covering bar, line, scatter, heatmap, area, radar, and word cloud visualizations from structured data arrays.

3D modeler v2 — Blender, Maya, ZBrush, texturing, rigging, animation, game assets, rendering

Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.