EurecaMoment
Official@eurecamoment
Offers a structured five-stage pipeline for constructing, validating, and evaluating multimodal benchmarks through rigorous data synthesis and ground truth materialization.
Agent Skills by EurecaMoment
Showing 60 vetted skills indexed across 1 GitHub repositories.
EurecaMomentdata-juicer-card
Clean and preprocess datasets using Data-Juicer tools.
EurecaMomentmodelNeedMeasured
Read and interpret JSON model templates for Stage5 evaluation.
EurecaMomentdepthanything3-local
Run Depth Anything 3 inference locally for depth and camera pose estimation.
EurecaMomentyoloe-local
Run a local YOLOE service for image annotation with text, visual, or prompt-free detection and segmentation.
EurecaMomentllm-local-qwen
Deploy qwen3.5-0.8b locally via vLLM for text generation and chat completion.
EurecaMomentsam3-local
Run local SAM3 image segmentation and video prediction APIs.
EurecaMomentdefault-annotation
Orchestrate VLM, YOLOE, SAM3, and Depth Anything 3 to generate image annotations.
EurecaMomentERQA
Evaluates multimodal QA models on spatial reasoning and embodied visual grounding benchmarks.
EurecaMomentUav_photos
Access real UAV image datasets for spatial intelligence tasks.
EurecaMomentbenchclaw-stage1-draft
Automate benchmark development workflow stages from literature review to execution plan creation.
EurecaMomentbenchclaw-stage5-eval
Automate model evaluation and report generation for BenchClaw benchmarks.
EurecaMomentbenchclaw-stage4-template-metric-code-generation
Generate benchmark templates, metrics, and code for BenchClaw stage4 builds.
EurecaMomentbenchclaw-stage3-evidence-compiler
Compile, clean, and generate ground truth for benchmark data using Python scripts.
EurecaMomentbenchclaw-pipeline
Automate AI benchmark construction through a five-stage pipeline.
EurecaMomentbenchclaw-stage1-intent-understanding
Extract user intent and generate retrieval queries for BenchClaw stage 1.
EurecaMomentbenchclaw-stage1-scope-preprocess-analysis
Normalize and structure raw BenchClaw Stage 1 data for offline preprocessing.
EurecaMomentbenchclaw-stage1-template-metric-draft-generation
Generate initial drafts for templates and metrics in BenchClaw stage 1.
EurecaMomentbenchclaw-stage1-literature-review
Extract claims with supporting evidence from paper collections for AI benchmarks.
EurecaMomentbenchclaw-stage1-capability-dimension-planning
Plan and organize benchmark capability dimensions from annotations, literature, and preprocessed pools.
EurecaMomentbenchclaw-stage1-literature-search
Automate literature search, download, verification, and reading for BenchClaw Stage 1.
EurecaMomentbenchclaw-stage1-execution-plan-generation
Transform benchmark drafts into executable execution plans and handoff files.
EurecaMomentbenchclaw-stage1-benchmark-draft-generation
Generate initial benchmark drafts from user inputs and data artifacts.
EurecaMomentbenchclaw-stage5-opencode-usage-report
Generate Opencode token and cost usage reports from SQLite session data.
EurecaMomentbenchclaw-stage5-full-evaluation
Automate AI benchmark evaluation by validating datasets, executing model predictions, and computing metrics.
Frequently Asked Questions About EurecaMoment
FAQPage SchemaWhat specific tasks does the BenchClaw pipeline enable?▼
The pipeline enables end-to-end benchmark construction, including literature review, data cleaning, ground truth materialization, template-metric code generation, and final model evaluation. It supports multi-stage synthesis for both simulator-based and real-world image datasets.
Which personas benefit from these evaluation capabilities?▼
Research engineers and data scientists focused on multimodal model evaluation, spatial reasoning, and embodied visual grounding benchmarks utilize these capabilities to standardize dataset quality and validate model predictions.
What are the prerequisites for running these evaluation services?▼
Users require local access to specific simulation environments like Habitat-Sim, CARLA, or LIBERO, alongside local inference deployments for vision models such as SAM3, YOLOE, and Depth Anything 3 to facilitate data annotation and ground truth generation.