llm-models
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-08 00:04
25,879 results
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3…
Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts.…
Python SDK for inference.sh - run AI apps, build agents, and integrate with all models. Package: inferencesh (pip install inferencesh). Supports sync/async,…
Discover and install related skills from inference.sh skill registry. Helps find complementary skills for your AI workflow. Use for: skill discovery, workflow…
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool…
Assign every product a Shopify Standard Product Taxonomy category so AI agents can map a shopper's intent to the right category and surface the store's…
VectorStore trait, Embedder trait, Retriever, document loaders, and ConversationalRetrievalQA.
Bootstrap an agent-development repository with a detailed lab/deliverables/memory structure, local .agent doctrine for ongoing Codex or Claude Code…
Factory skill that creates production-grade, benchmarked, autonomously improved, and verified agent skills. Orchestrates a 5-phase pipeline: interview the user…
Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.
Behavior tree design and implementation for robot decision making
Specialized skill for robot vision including feature detection, tracking, and camera calibration
Few-shot example generation and optimization for improved LLM performance
Conversation summarization for memory compression and context management
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting…
Sampling-based and optimization-based motion planning algorithms
Deep expertise in MoveIt/MoveIt2 configuration and manipulation planning
Expert skill for Model Predictive Control implementation and tuning
Design agents for multi-turn tool use — sequential tool calls, result accumulation, error recovery, and complex task decomposition over multiple turns.
Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.
Structured prompt template creation with variables, formatting, and version control
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
RL training for robot control using simulation with sim-to-real transfer
Expert skill for multi-sensor fusion and state estimation using Kalman filtering. Implement EKF/UKF, configure robot_localization, fuse IMU, GPS, odometry, and…