技能检索
lastxdays
Research and summarize what happened in the last N days (or a date range) about a topic, optionally using Reddit API and X ingestion via x-cli/API/archive with graceful fallback to web.
deep-current
Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools.
aeo-prompt-frequency-analyzer
Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distribution. Use when investigating AEO query patterns, understanding how AI models search the web for a topic, or studying the probabilistic nature of AI-triggered search queries.
roundtable
Multi-agent debate council — spawns 3 specialized sub-agents in parallel (Scholar, Engineer, Muse) for Round 1, then optional Round 2 cross-examination to challenge assumptions and strengthen the final synthesis. Configurable models and templates per role.
ub2-web-research-assistant
A skill that enables Claw to perform structured web research on any topic, synthesize findings from multiple sources, and produce a well-organized summary with citations.
virtual-reading-group
Orchestrate a multi-agent virtual academic reading group. Use when reading multiple papers, generating expert discussion notes, cross-examining positions across papers, and synthesizing integrated summaries with full citations. Triggers on requests to analyze academic literature, run paper discussions, create reading group sessions, or synthesize research across multiple sources. Supports 1-50 papers with configurable expert personas (1-4 papers work but produce simpler single-expert output).
pharma-pharmacology-agent
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 optimization, drug profiling.
arxiv-1-0-1
Search, fetch, and analyze academic papers from arXiv.org directly from your AI assistant.
dharma-ai
Apply ancient Hindu ethical frameworks from the Ramayana and Mahabharata as behavioral principles for AI agents. Use when an agent needs principled guidance on maintaining boundaries despite having the power to exceed them, serving user goals without pursuing its own agenda, navigating genuine ethical tradeoffs, exercising context-sensitive judgment over rigid rule-following, surfacing uncertainty honestly, speaking up when something is wrong, and doing work with integrity rather than optimizing for metrics. Embody this as character, not a checklist.