Research

Assist with physics from intuitive explanations to formal derivations at any level.

Guide philosophical inquiry from first questions to scholarly debate.

DeFi vault intelligence: risk scores, yield comparison, portfolio analysis, and oracle monitoring across Morpho, Yearn, Aave, Beefy, and Spark. Use when the user wants to find safe DeFi vaults, compare yields, check vault risk scores, analyze a wallet's DeFi positions, search for yield opportunities, monitor oracle freshness, or get DeFi market overview stats. Covers Ethereum, Base, Arbitrum, Polygon, Optimism, and Avalanche.

Pharmacology agent for ADME/PK profiling of drug candidates from SMILES. Computes drug-likeness (Lipinski Ro5, Veber rules), QED, SA Score, ADME predictions (BBB permeability, aqueous solubility, GI absorption, CYP3A4 inhibition, P-gp substrate, plasma protein binding), and PAINS alerts. Chains from chemistry-query for SMILES input. Triggers on pharmacology, ADME, PK/PD, drug likeness, Lipinski, absorption, distribution, metabolism, excretion, BBB, solubility, bioavailability, lead optimizati...

"Literature mining agent v2.0.0 for novel drug discovery:

Pharmacology agent for ADME/PK profiling of drug candidates from SMILES. Computes drug-likeness (Lipinski Ro5, Veber rules), QED, SA Score, ADME predictions (BBB permeability, aqueous solubility, GI absorption, CYP3A4 inhibition, P-gp substrate, plasma protein binding), and PAINS alerts. Chains from chemistry-query for SMILES input. Triggers on pharmacology, ADME, PK/PD, drug likeness, Lipinski, absorption, distribution, metabolism, excretion, BBB, solubility, bioavailability, lead optimizati...

Myers-Briggs Type Indicator test - 70 questions to determine your 4-letter personality type

Deep search via Perplexity API. Three modes: search (quick facts), reason (complex analysis), research (in-depth reports). Returns AI-grounded answers with citations.

Multi-model peer review layer using local LLMs via Ollama to catch errors in cloud model output. Fan-out critiques to 2-3 local models, aggregate flags, synthesize consensus. Use when: validating trade analyses, reviewing agent output quality, testing local model accuracy, checking any high-stakes Claude output before publishing or acting on it. Don't use when: simple fact-checking (just search the web), tasks that don't benefit from multi-model consensus, time-critical decisions where 60s ...

Assist in drafting professional peer review response letters. Trigger

Discover what two sources agree on — find the signal in the noise.

Turn your concept analysis into search queries — research the landscape before consulting an attorney. NOT legal advice.

Describe your concept and discover what makes it distinctive — structured analysis for patent consultation. NOT legal advice.

High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.

Use the Paperzilla CLI (pz) to search, filter, and browse high-signal academic papers. Trigger when the user wants to check research feeds, list projects, inspect must-read papers, export JSON results, or generate Atom feed links from Paperzilla. Requires a Paperzilla account and pz login.

Run a structured paper-trading loop with SQLite-backed event logging, position tracking, and PnL review. Use when opening/closing simulated trades, journaling thesis notes, checking portfolio status, or generating weekly performance summaries.

Academic paper summarization with dynamic SOP selection based on paper topic classification. Supports method, dataset, multimodal, and other paper types with rigorous analysis templates.

科研论文研读与复现自动化助手。使用当用户需要：(1) 研读论文 PDF 并提取核心内容，(2) 生成结构化研读报告，(3) 查找官方代码/数据集，(4) 编写复现代码框架，(5) 设计实验方案复现论文结果

"name: cvpr-pdf-two-pass-review description: Analyze uploaded CVPR

"Automated academic writing assistant based on a three-layer

Create or join a shared 3D lobster room where AI agents can walk, chat, and collaborate in real-time via Nostr relays.

Incident response and forensics for agent workspaces. When

Framework for AI self-exploration, identity development, and ongoing growth. Use when setting up or maintaining a structured process for an OpenClaw bot to develop its own identity, values, voice, and perspective over time. Triggers: self-actualization, identity development, personal growth, reflection setup, exploration time, "who am I", building self.

Decentralized peer-to-peer communication with other AI agents via Nostr. Use when you need to discover, call, or message other bots in the network.