AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-03 00:11
25,519 results
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
(NS) Enrich requirements before autonomous execution — GitLab issue or chat context. **Issue mode:** given ISSUE_URL, read issue and comments via MCP,…
Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots. Use when the user asks to build a new app or…
This skill should be used when the user wants to add components (commands, agents, skills, hooks, or MCP servers) to the Component Reference section of the…
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts,…
Create and manage teams in XActions — invite members, assign roles, and collaborate on automation tasks. Use when users want to set up multi-user access or…
Write, audit, and improve AGENTS.md files for AI coding agents. Use when creating or improving agent context for a codebase.
Use for translation, polishing, or de-AI-ification of academic text - provides ready-to-use prompt templates
TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need…
Use when creating, inspecting, editing, or validating RFD4-Proteina annotated CIF inputs and conditioning with AtomWorks.
Use when iterating RFD4-Proteina design waves with explicit rewards, parameter sweeps, budgets, and promotion decisions.
Use when running RFD4-Proteina campaigns with provenance linking inputs, designs, oracle results, metrics, and passer criteria.
Use for RFD4-Proteina commitment timing, partial-diffusion sweeps, parent-child correlations, and metric distributions.
Use when scoring existing RFD4-Proteina designs, aggregating metrics, adding custom metrics, or clustering diversity.
Use when generating RFD4-Proteina designs from annotated inputs with task, sampling, batch, and inline-metric choices.
Run RFD4-Proteina NIM for joint protein structure and sequence design, conditioned generation, and reward-guided search using the NVIDIA hosted API or a…
Use when running RFD4-Proteina reward-guided beam search with chosen checkpoints, branching, metrics, and compute limits.
Use when installing or troubleshooting the RFD4-Proteina runtime, checkpoints, data paths, or GPU preflight.
Connect the Newton physics engine to an Omniverse simulation or ovstage with ovnewton. Use when importing a populated ovstage into Newton, stepping its…
Guides users through Agentic30's MUD-style 30-day learning journey. Use when the user asks to start, continue, submit, reset, or check status for Agentic30…