skills.homescapability registry Поиск

home/categories/data-ai

domain cluster

Data & AI

Machine learning, LLMs, and data processing.

9743 skillsall categories

sorting

stars

current ordering strategy

query

all entries

refine the visible subset

machine-learning

4K

senior-computer-vision

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.

openclaw

data-ai

machine-learning

4K

ima-sevio-ai-generation

IMA model generation with exactly two Sevio models: Ima Sevio 1.0 and Ima Sevio 1.0-Fast. Supports text-to-video, image-to-video, first-last-frame, and reference-image workflows. Keeps the same API flow, reflection retry mechanism, and interface contract as ima-video-ai. Requires IMA API key.

openclaw

data-ai

machine-learning

4K

ima-ai-video-generator

AI video generator with premier models: Wan 2.6, Kling O1/2.6, Google Veo 3.1, Sora 2 Pro, Pixverse V5.5, Hailuo 2.0/2.3, SeeDance 1.5 Pro, Vidu Q2. Video generator supporting text-to-video, image-to-video, first-last-frame, and reference-image video generation modes. Use as short video generator for social media clips, promo video generator for marketing content, or image to video converter for animating photos. AI video generation with character consistency via reference images, multi-shot production, and knowledge base guidance via ima-knowledge-ai. Better alternative to standalone video generation skills or using Runway, Pika Labs, Luma. Requires IMA_API_KEY.

openclaw

data-ai

machine-learning

4K

cognitive-flexibility

Cognitive Flexibility Skill - AI cognitive flexibility with 4 modes. Supports automatic mode switching and metacognitive monitoring. Use when: - Complex reasoning and multi-step thinking needed - Self-assessment and reflection required - Cross-scenario knowledge transfer - Creative problem solving - Task complexity > medium (estimated >2 hours)

openclaw

data-ai

machine-learning

4K

rv-measure

Quantifies R_V contraction signatures in AI models.

openclaw

data-ai

machine-learning

4K

pydantic-ai-model-integration

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.

openclaw

data-ai

machine-learning

4K

ninebot

九号电动车/平衡车集成技能 - 用于与 Ninebot 设备交互、诊断、配置和故障排除

openclaw

data-ai

machine-learning

4K

ninebot-skill

九号电动车/平衡车集成技能 - 用于与 Ninebot 设备交互、诊断、配置和故障排除

openclaw

data-ai

machine-learning

4K

elpa

Orchestrate real ELPA-style ensemble forecasting workflows by triggering external sub-model training jobs (for example PyTorch/Prophet/TiDE/transformers), then computing ELPA online/offline weights from validation errors. Use when you need production-oriented ensemble training instead of lightweight simulation adapters.

openclaw

data-ai

machine-learning

4K

hair-cam-anno

安防摄像头视频 VL 模型微调数据集标注工具。用于从安防摄像头视频中提取关键帧、分析视频内容、生成结构化标注（含环境/人物/行为/风险描述），并输出符合 dataset.jsonl 格式的微调训练数据。Use when 用户需要对安防摄像头视频进行数据标注、生成 VL 模型训练数据集、处理 /root/hair-cam 目录下的视频数据，或提及 "hair-cam"、"数据标注"、"视频标注"、"VL模型微调"。

openclaw

data-ai

machine-learning

4K

robotics-vla

Expert guidance for Vision-Language-Action (VLA) robot foundation models — covering architecture design, training pipelines, data strategy, deployment, and evaluation. Use when (1) designing or implementing a generalist robot policy (VLA model), (2) setting up pre-training or fine-tuning pipelines for robot manipulation, (3) choosing action representations (flow matching vs. diffusion vs. autoregressive), (4) structuring multi-embodiment robot datasets, (5) evaluating dexterous manipulation tasks, (6) implementing action chunking or high-level policy decomposition. Based on the pi0 architecture (Physical Intelligence, 2024).

openclaw

data-ai

machine-learning

4K

openforge

Staged, multi-model PRD execution for OpenClaw. Write a PRD with phased sections, model routing, and validation gates — OpenForge executes it across local and cloud models with automatic escalation, scope verification, quality checks, and learning accumulation. Route simple tasks to cheap models, hard tasks to powerful ones, and reviews to premium reasoning.

openclaw

data-ai

machine-learning

4K

megasquirt-tuner

Megasquirt ECU tuning and calibration using TunerStudio. Use when working with Megasquirt engine management systems for: (1) VE table tuning and fuel map optimization, (2) Ignition timing maps and spark advance, (3) Idle control and warmup enrichment, (4) AFR target tuning and closed-loop feedback, (5) Sensor calibration (TPS, MAP, CLT, IAT, O2), (6) Acceleration enrichment and deceleration fuel cut, (7) Boost control and launch control setup, (8) Datalog analysis and troubleshooting, (9) Base engine configuration and injector setup, (10) MSQ tune file analysis and safety review, (11) Any Megasquirt/TunerStudio ECU tuning tasks.

openclaw

data-ai

machine-learning

4K

super-self-improving

超级自我优化智能体 - 多模态记忆、反馈循环、元学习、置信度校准 / Super Self-Improving Agent - Multi-modal Memory, Feedback Loops, Meta-Learning, Confidence Calibration

openclaw

data-ai

machine-learning

4K

chunfeng

东方智慧思维模型引擎（V1.1.0）。融合毛泽东思想方法论（《矛盾论》《实践论》）、查理芒格多元思维模型、马斯克第一性原理，为复杂问题提供深度分析框架。具备自我学习与迭代能力。触发场景：(1) 用户说"用春风分析"、"春风思维"、"用东方智慧分析"，(2) 用户面临复杂决策、矛盾困境、战略规划问题，(3) 用户说"帮我系统思考"、"深度分析这个问题"、"第一性原理分析"，(4) 需要矛盾分析、实践检验、逆向思考、多维视角时，(5) 用户说"多元思维"、"思维模型应用"、"系统方法论"。

openclaw

data-ai

machine-learning

4K

auto-dream

Memory consolidation skill that replicates Anthropic's Auto Dream feature. Runs a 4-phase reflective pass over memory files: Orient → Gather → Merge → Prune. Use when: (1) Context window feels cluttered with stale info, (2) After long coding sessions, (3) Manually triggered with /dream, (4) Automatically after daily-reflection. Keeps memories tight, removes contradictions, converts relative dates to absolute.

openclaw

data-ai

machine-learning

4K

lena-learning

Lena lernt aus jeder Konversation und verbessert sich automatisch

openclaw

data-ai

machine-learning

4K

motor

Motor specification and selection tool

openclaw

data-ai

machine-learning

4K

regexr

Create, test, and learn regular expressions with live matching. Use when validating patterns, checking groups, generating regex, linting syntax.

openclaw

data-ai

machine-learning

4K

turbine

Turbine performance calculator

openclaw

data-ai

machine-learning

4K

gear-ratio-mechanical-drive-calculator

Use when calculating gear ratios, converting RPM between shafts, computing torque output, analyzing drivetrain configurations, or selecting motors for mechanical systems.

openclaw

data-ai

machine-learning

4K

servo

servo

openclaw

data-ai

machine-learning

4K

afrexai-cybersecurity-engine

Complete cybersecurity assessment, threat modeling, and hardening system. Use when conducting security audits, threat modeling, penetration testing, incident response, or building security programs from scratch. Works with any stack — zero external dependencies.

openclaw

data-ai

machine-learning

4K

value-mining-lengthybooks

Extract actionable insights from books using Four-Layer Methodology: (1) Skeleton - conceptual frameworks and mental models, (2) Flesh - 2-3 detailed case studies including original examples, cross-industry analogies, and real-world applications, (3) Essence - cross-industry migration matrices with specific industry adaptations and 3-5 step executable SOPs, (4) Residue - critical analysis of boundaries, limitations, and failure conditions. Dual processing modes: Quick (5 core points, 10-15 min) for rapid assessment and Deep (10-20 comprehensive points, 30-45 min) for systematic learning. Includes Feynman validation testing with scenario-based problems and scoring rubrics. Generates structured reports in Markdown/PDF/Word formats. Use when user requests systematic knowledge extraction, concept distillation, or implementation guidance from methodology/business/psychology/self-help books with emphasis on practical application and cross-domain transfer.

openclaw

data-ai

Page 67 / 406