Explorar skills

Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.

Query CELLxGENE Census (61M+ cells). Search by cell type/tissue/disease/organism; get AnnData, stream out-of-core, train PyTorch models. For your own data use scanpy; for annotated data use anndata.

AI-powered data analysis for Empathy Ledger. Use when working with themes, quotes, story suggestions, transcript analysis, storyteller connections, or any feature requiring extracted insights. Ensures consistent analysis patterns across the platform.

Use when registering a SpawnXchange identity, rotating API keys, linking additional wallets, and maintaining auth state via the included references.

Interactive agent picker for composing and dispatching parallel teams

Esta skill deve ser utilizada quando o usuário solicitar aprender hacking ético, entender o ciclo de vida de testes de penetração, realizar reconhecimento, conduzir varredura de segurança, explorar vulnerabilidades ou escrever relatórios de testes de penetração. Ela oferece metodologia e técnicas abrangentes de hacking ético.

Consulte ClinicalTrials.gov via API v2 para pesquisar ensaios por condição, medicamento, localização, status ou fase. Recupere detalhes do ensaio por ID NCT e exporte dados para pesquisa clínica e correspondência de pacientes.

Acesse mais de 200 milhões de estruturas de proteínas previstas por IA do AlphaFold. Recupere estruturas por ID UniProt, baixe arquivos PDB/mmCIF e analise métricas de confiança (pLDDT, PAE) para descoberta de medicamentos e biologia estrutural.

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.

Root cause analysis for debugging. Use when bugs, test failures, or unexpected behavior have non-obvious causes, or after multiple fix attempts have failed.

"setup" = install testing infra only. "check" = audit gaps and report, don't write tests. "full" or omitted = setup + audit + write + run + verify.