Topic: ai-agents
18,135 skills in this topic.
-
torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
x-cmd/skill 19
-
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
x-cmd/skill 19
-
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
x-cmd/skill 19
-
venue-templates
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
x-cmd/skill 19
-
agent-identity
JKHeadley/instar 48
-
agent-memory
JKHeadley/instar 48
-
command-guard
JKHeadley/instar 48
-
credential-leak-detector
JKHeadley/instar 48
-
instar-feedback
JKHeadley/instar 48
-
instar-identity
JKHeadley/instar 48
-
instar-scheduler
JKHeadley/instar 48
-
instar-session
JKHeadley/instar 48
-
instar-telegram
JKHeadley/instar 48
-
knowledge-base
JKHeadley/instar 48
-
smart-web-fetch
JKHeadley/instar 48
-
systematic-debugging
JKHeadley/instar 48
-
autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
a5c-ai/babysitter 514
-
chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
a5c-ai/babysitter 514
-
chroma-integration
Chroma local vector database setup and operations for development and production
a5c-ai/babysitter 514
-
constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
a5c-ai/babysitter 514
-
content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
a5c-ai/babysitter 514
-
crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
a5c-ai/babysitter 514
-
entity-memory-extraction
Entity and fact extraction for user profiling and personalization
a5c-ai/babysitter 514
-
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
a5c-ai/babysitter 514