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Found 2,086 Skills
US stock market sentiment monitoring and position recommendation system. Evaluates market sentiment by tracking 5 core indicators (NAAIM Exposure Index, Institutional Equity Allocation, Retail Net Buying, S&P 500 Forward P/E Ratio, Hedge Fund Leverage) and outputs sentiment ratings and position recommendations. This skill should be used when the user mentions topics such as US stock sentiment, market overheating, greed/fear indicators, NAAIM, institutional positioning, retail sentiment, P/E valuation bubbles, hedge fund leverage, whether to reduce positions, market risk assessment, position management advice, market top/bottom signals, etc. Even if the user simply asks "Is the US stock market risky right now?" or "Should I reduce my positions?", this skill should be triggered to provide a structured analytical framework.
A Tushare data research skill for Chinese natural language. It converts requests like "How has this stock been performing lately?", "Help me check the financial report trend", "Which sector is the strongest recently?", "What are northbound funds buying?", "Export a market data report for me" into executable workflows for data acquisition, cleaning, comparison, filtering, export, and brief analysis. It applies to research scenarios such as A-shares, indices, ETFs/funds, finance, valuation, capital flows, announcements & news, sector concepts, and macroeconomic data.
Scaffolds eval.yaml test files for agent skills in the dotnet/skills repository. Use when creating skill tests, writing evaluation scenarios, defining assertions and rubrics, or setting up test fixture files. Handles eval.yaml generation, fixture organization, and overfitting avoidance. Do not use for running or debugging existing tests nor for skills authoring.
Research and analyze tokens on supported blockchains: search tokens by keyword, get token details (price, market cap, volume, supply), run security audits (honeypot, mint risk, proxy, tax), list DEX liquidity pools, view top holders, find smart money traders, and retrieve K-line candlestick chart data. Trigger words: token, coin, search token, find token, look up token, token info, token details, token data, token price, price of, how much is, what is the price, market cap, market capitalization, volume, trading volume, supply, total supply, circulating supply, FDV, fully diluted valuation, token security, security audit, is it safe, honeypot, rug pull, mint risk, proxy contract, buy tax, sell tax, token pools, liquidity pools, DEX pools, trading pools, LP, liquidity, token holders, top holders, who holds, whale holders, holder distribution, token traders, smart money, smart traders, KOL traders, top traders, candles, candlestick, K-line, kline, price chart, price history, OHLCV, token analysis, token research, due diligence, DYOR, check token. Chinese: 代币, 搜索代币, 查代币, 代币信息, 代币详情, 代币价格, 价格多少, 市值, 交易量, 总供应量, 代币安全, 安全审计, 是否安全, 蜜罐, 貔貅, 池子, 流动性, 持有者, 大户, 鲸鱼, 交易者, 聪明钱, K线, 蜡烛图, 价格走势. CRITICAL: Always use `--json` flag for structured output. CRITICAL: When user asks about token safety, ALWAYS run `token security` — do not guess. Do NOT use this skill for: - Trending token rankings or new token discovery → use liberfi-market - Wallet holdings, activity, or PnL stats → use liberfi-portfolio - Swap quotes, trade execution, or transaction broadcast → use liberfi-swap - General market trends without a specific token → use liberfi-market Do NOT activate on vague single-word inputs like "token" or "coin" without additional context specifying a search query, chain, or address.
Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate project memory files. Also triggers for "project memory optimization", "CLAUDE.md quality check", "documentation review", or when a project memory file needs to be created from scratch. This skill scans memory files, evaluates quality against standardized criteria, outputs detailed quality reports with scores and recommendations, then makes targeted updates with user approval.
Use when the user needs research methodology, long-form content creation, academic-style citations, fact-checking, or evidence-based writing with proper source attribution. Trigger conditions: whitepaper drafting, research article writing, source evaluation, citation management, fact-checking protocol, case study creation, evidence-based argumentation.
End-to-end real estate investment analysis skill. Use when users ask to analyze a property deal, run the numbers on a rental, evaluate real estate investments, build a pro forma, compare markets, calculate cap rate, cash-on-cash return, IRR, NOI, DSCR, equity multiple, or GRM. Also triggers on: BRRRR analysis, house hack evaluation, short-term rental (STR/Airbnb) analysis, commercial underwriting, multifamily deal analysis, syndication waterfall modeling, Monte Carlo simulation for real estate, sensitivity analysis on a deal, 1031 exchange planning, cost segregation analysis, depreciation calculations, real estate tax strategy, market comparison and scoring, rental property screening, deal screening, investor report generation, real estate financial modeling, property type comparison, rent-to-price analysis, development feasibility, land analysis, value-add underwriting, API integration for real estate data (Zillow, Redfin, AirDNA, Mashvisor, ATTOM, Rentcast, Census), or any real estate investment financial analysis task.
Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes.
Advance one runnable thread by one bounded round from the minimal continuation entry, stopping on dirty interrupt files, pending proposals, or contract overreach.
Use when approaching any animation task—establishing foundational thinking patterns, teaching animation principles, or when none of the specialized thinking styles quite fit the situation.
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series
Design and manage reference data systems — security master, client master, account master, identifier mapping, pricing data, and governance. Use when building or evaluating a security master database, mapping identifiers across systems (CUSIP to ISIN, SEDOL to FIGI), designing client master models for onboarding or KYC, defining account master attributes across custodians, implementing pricing validation with vendor hierarchy, establishing reference data governance and stewardship, handling identifier changes from corporate actions, or troubleshooting data quality issues traced to stale prices or missing identifiers. Trigger on: security master, CUSIP, ISIN, SEDOL, FIGI, client master, account master, pricing data, reference data, golden source, MDM, master data, identifier mapping, data governance, pricing validation.