429 skills · sorted by relevance
Investigate a specific crypto token through price history, trading volume, holders, fund flows, trades, and profit or loss data. Use Nansen commands to examine spot activity and perpetual futures, contracts without an expiry date, with optional CSV exports.
Query trading activity, capital flows, and positions across Polymarket, Hyperliquid, and Meteora. The skill covers wallet scoring, large trades, and liquidity pool analytics through 63 API endpoints, paid per request with USDC on Solana without API keys.
Configure n8n nodes by checking which fields each operation needs and which settings reveal additional options. Start with a minimal configuration, validate it, look up unclear properties, and make targeted edits to existing code or text fields.
Search Douyin videos by keyword and collect structured results with creator details, engagement counts, descriptions, hashtags, covers, and download links. Filter by posting period and sort by relevance, likes, or newest posts.
Extract details from an Etsy listing URL, including displayed prices, product options and their price ranges, images, descriptions, shop information, ratings, and favorites. Use these records for competitor research or tracking individual listings.
Collect customer reviews from e-commerce product and review pages, including review text, ratings, dates, verified purchase status, and helpful votes. Gather multiple pages of feedback to prepare data for customer opinion research and sentiment analysis.
Analyze files or modules for duplicated code, excessive complexity, and violations of SOLID, five software design principles. Get prioritized refactoring suggestions with affected locations, risks, estimated effort, and testing needs to guide code improvements.
Find gaps in how remove-ai-watermarks detects AI origin information and watermarks across new and retained datasets, then verify fixes and check that removable signals are cleared without breaking required image or stream properties.
Analyze ML and AI experiment results with statistical checks, confidence intervals, and effect sizes, which describe the size of differences. Produce scientific figures and analysis reports while identifying missing evidence and limits on model comparison claims.
Manage communication channels by identifying senders, maintaining trusted contacts, and setting the administrator's primary notification destination. It also covers first contact on a new channel and contacting the administrator across channels, with rules for handling unknown senders.
Diagnose unnecessary rebuilds in MSBuild by examining build logs, file timestamps, and declared inputs and outputs. Identify why work repeats, guide fixes when requested, and verify that a second unchanged build skips the expected targets.
Review Google Ads search term reports to find converting queries without dedicated keywords. Group opportunities by theme and estimate volume and cost per conversion, with suggested matching settings, starting bids, and exclusions to reduce overlap.
Inspect public repositories, build artifacts, and container images for software supply chain risks. The skill identifies exposed internal package names, unsafe workflow configurations, and leaked secrets, while requiring build evidence before treating unclaimed package names as exploitable.
Model queues, production lines, logistics, and other systems that share limited resources in Python. Use discrete-event simulation, which advances through individual events, to measure waiting times, resource use, and throughput when comparing staffing or equipment levels.
Investigate local Rust services by starting the crate’s executable with debug logging and following its log output. Use the recorded messages to examine startup problems, runtime behavior, and errors while discussing findings with the agent.
Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.
Review econometric code, proofs, data workflows, and outputs with multiple specialist agents. Assess identification—the assumptions that let data establish an effect—alongside estimation, numerical stability, and reproducibility, then consolidate findings into prioritized tasks.
Draft an English referee report for an economics or finance paper, with a findings summary, specific numbered critiques, and a letter to the editor. Choose the recommendation, review depth, and three to eight comments.
Guide economic time series analysis from initial plots to forecasting. Use Python, R, and Stata examples to check whether statistical properties remain stable over time, choose models, diagnose errors, and examine relationships between multiple series.
Develop identification arguments in econometrics: establish whether observed data uniquely determine a target parameter, state assumptions and rank conditions, and write formal propositions. When uniqueness fails, characterize the range of parameter values consistent with the data.
Choose methods for causal research in applied microeconomics by examining how treatment varies. Compare assumptions, plan diagnostic checks, assess statistical power—the ability to detect effects—and organize a defensible empirical strategy.
Analyze empirical economics PDFs through five questions covering the research problem, causal identification, target effect, robustness, and contribution. Receive a structured Chinese report and a practical checklist of research methods to adapt to other studies.
Clarify a research idea through guided questions, explore three unexpected angles, and develop a focused research question with testable variables and a theoretical explanation. The researcher chooses the direction and confirms the final topic.
Turn a financial economics research idea into a structured, 12-part empirical proposal. It outlines hypotheses, matching data sources, methods for testing causal effects, illustrative results tables, and robustness checks, while examining the study’s contribution.