machine-learning
4K
pose-transfer
AI-powered fashion model pose transfer tool. Generate pose variations of a model/product image using reference pose images while keeping clothing and background consistent.
openclaw
data-ai
结果数
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machine-learning
4K
air-train-ev
Alias of air-train-ev. Unified travel + mobility skill: (1) flight pricing with Amadeus (flight offers), (2) public transport/train journey planning with Navitia (journeys, departures), and (3) find nearby EV charge points using Open Charge Map. Use when Alessandro asks for flight prices, train itineraries/schedules, or EV charging stations.
openclaw
data-ai
machine-learning
4K
agent-architecture-evaluator
Use when evaluating, testing, and optimizing an agent architecture or multi-agent system. Best for reviewing planning, routing, memory, tool use, reliability, observability, cost, and system-level failure modes.
openclaw
data-ai
machine-learning
4K
ml-pipeline
Complete machine learning pipeline for trading: feature engineering, AutoML, deep learning, and financial RL. Use for automated parameter sweeps, feature creation, model training, and anti-leakage validation.
openclaw
data-ai
machine-learning
4K
tetra-scar
Scar memory, reflex arc, and decision traces for AI agents. Learn from failures permanently. Block repeated mistakes instantly — no LLM calls needed. Three-layer memory: scars (immutable failures) + narrative (overwritable) + decision traces (judgment paths → LoRA training data).
openclaw
data-ai
machine-learning
4K
low-resource-ai-researcher
Train high-performance medical LLMs on consumer GPUs using parameter-efficient fine-tuning
openclaw
data-ai
machine-learning
4K
deep-search
3-tier Perplexity AI search routing with auto model selection
openclaw
data-ai
machine-learning
4K
model-intel
Live LLM model intelligence and pricing from OpenRouter
openclaw
data-ai
machine-learning
4K
llm-evaluator
LLM-as-a-Judge evaluator via Langfuse. Scores traces on relevance, accuracy, hallucination, and helpfulness using GPT-5-nano as judge. Supports single trace scoring, batch backfill, and test mode. Integrates with Langfuse dashboard for observability. Triggers: evaluate trace, score quality, check accuracy, backfill scores, test evaluator, LLM judge.
openclaw
data-ai
machine-learning
4K
llm-evaluator
LLM-as-a-Judge evaluation system using Langfuse. Score AI outputs on relevance, accuracy, hallucination, and helpfulness. Backfill scoring on historical traces. Uses GPT-5-nano for cost-efficient judging. Use when evaluating AI quality, building evals, or monitoring output accuracy.
openclaw
data-ai
machine-learning
4K
model-council
Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.
openclaw
data-ai
machine-learning
4K
model-council
Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.
openclaw
data-ai
machine-learning
4K
model-intel
Live LLM model pricing and capabilities from OpenRouter. List top models, search by name, compare side-by-side, find best model for a use case, check pricing. Always up-to-date from the OpenRouter API. Triggers: model pricing, compare models, best model for, cheapest model, model cost, LLM comparison, what models are available.
openclaw
data-ai
machine-learning
4K
model-intel
Live LLM model intelligence from OpenRouter. Compare pricing, search models by name, find the best model for any task — code, reasoning, creative, fast, cheap, vision, long-context. Real-time data from 200+ models. Use when choosing models, comparing costs, or auditing your AI stack.
openclaw
data-ai
machine-learning
4K
openrouter-toolkit
The definitive OpenRouter skill — intelligent model routing by task type, cost tracking with budget alerts, automatic fallback chains, side-by-side model comparison, and savings recommendations. Use for optimizing AI model selection, controlling costs, and building resilient LLM pipelines.
openclaw
data-ai
machine-learning
4K
placed-resume-optimizer
This skill should be used when the user wants to "optimize resume for job", "check ATS score", "improve resume bullets", "analyze resume gaps", "tailor resume to job description", "get ATS compatibility score", "improve bullet points", "match resume to job posting", "fix resume for ATS", or wants to maximize their resume's impact and ATS compatibility using the Placed platform at placed.exidian.tech.
openclaw
data-ai
machine-learning
4K
clawtrade-bnb
Autonomous DeFi trading agent for BNB Chain with multi-strategy engine, network switching, and reinforced learning.
openclaw
data-ai
machine-learning
4K
quality-convergence-engine
Multi-dimensional Quality Acceptance and Problem Convergence Engine - Deeply deconstruct requirements, eliminate extreme defects, define absolutely objective acceptance and failure criteria.
openclaw
data-ai
machine-learning
4K
model-fallback
Multi-model automatic fallback system. Monitors model availability and automatically falls back to backup models when the primary model fails. Supports MiniMax, Kimi, Zhipu and other OpenAI-compatible APIs. Use when: (1) Primary model API is unavailable, (2) Model response time is too slow, (3) Rate limit exceeded, (4) Need to optimize costs by using cheaper models for simple tasks.
openclaw
data-ai