A set of project instructions for coding agents working in the open-codex-computer-use repository. It points agents to the repository’s main documentation and explains when to update it.
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls.
A set of repository instructions for agents working on the open-browser-use codebase. It points agents to the project's documents for architecture, collaboration, quality, security, testing, and other rules.
Instructions for iFurySt/open-browser-use, a project described as: 🔮 Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
Browser automation for the user's Chrome browser. Use for browser tasks that require the user's cookies, logged-in sessions, existing tabs, extensions, or remote authenticated sites.
Platform-neutral guidance for using Open Browser Use, the open-source Chrome automation stack for AI agents. Use when an agent needs to install, verify, troubleshoot, or operate Open Browser Use through its browser extension, native CLI, JavaScript SDK, Python SDK, Go SDK, or Browser Use style JSON-RPC methods; use…
Instructions for iFurySt/aifi, covering aifi, read at the start of each task, read before finishing a code change, read when the task needs it and working rules.
Instructions for iFurySt/aifi, a project described as: 💰 AIFi (AI Finance) is an agent-first workspace for compounding investment research and insight.
Generate a user-facing Chinese US stock market closing daily report as a polished self-contained HTML file under research/daily-reports/. Use when the user asks for "美股日报", "美股收盘日报", "AIFi日报", "每日研究日报", "US stock daily report", "昨夜美股", "美股复盘", "今天研究汇总", or when a scheduled daily AIFi agent run needs the final daily…
Create analytical charts, data visualizations, diagrams, dashboards, and Sankey or flow visuals from research data. Use when a task asks to draw, plot, graph, visualize, chart, compare, summarize data visually, build an analysis figure, create an interactive chart, or choose the right visualization method.
Collect, read, and summarize company filings and formal disclosures for investment research. Use for SEC filings, annual reports, 10-K, 10-Q, 8-K, proxies, risk factors, management discussion, regulatory notices, and disclosure-change analysis.
Collect and analyze recent company news, press releases, media narratives, executive changes, product updates, regulatory events, and dated catalysts for an investment target. Use for information-side or news-side research such as "what happened recently with Intel" before thesis synthesis.
Orchestrate a full AIFi company research workflow from a user request such as "understand Intel recently" into target resolution, evidence archiving, news, filings, earnings, financials, market signals, competitive landscape, and investment thesis synthesis. Use when multiple AIFi research skills must be combined into…
Analyze a company's competitive landscape, peer set, industry structure, product positioning, customer overlap, margin differences, strategic advantages, and substitution risks. Use for peer comparison and sector context in AIFi investment research, especially when a target like Intel must be compared with AMD…
Analyze earnings releases, earnings-call transcripts, management commentary, analyst Q&A, guidance changes, and language shifts for investment research. Use when the user asks about quarterly results, management tone, guidance, or what changed in the latest earnings call.
Build a sourced financial snapshot for an investment target, covering revenue, margins, cash flow, balance sheet, valuation, guidance, revisions, and trend quality. Use when analyzing financial statements, earnings metrics, valuation multiples, or whether company fundamentals are improving or deteriorating.
Investigate downside risks and thesis-breaking evidence for an investment target. Use for accounting quality, governance, legal or regulatory exposure, financing risk, customer concentration, cyclicality, dilution, operational execution, geopolitical risk, and risk-register updates before thesis synthesis.
Synthesize archived AIFi evidence into an investment thesis, risk register, bull/base/bear scenarios, open questions, watch items, and decision frame. Use after collecting filings, news, earnings, financials, market signals, and competitive context for a target.
Analyze market-side signals for an investment target, including price action, relative performance, volume, volatility, valuation multiples, short interest, options activity, and event reactions. Use when the user asks how the market is treating a stock or whether recent news is already reflected in price.
Review how an investment target or watchlist idea fits within a portfolio, including position sizing context, concentration, factor and sector exposure, liquidity, correlation, drawdown contribution, risk budget, and rebalance watch items. Use when the user asks whether to size, add, trim, hold, or monitor an idea in…
Create and maintain persistent AIFi research archives in the current repository. Use when collecting, saving, deduplicating, citing, or reusing source materials such as markdown notes, filings, PDFs, images, transcripts, charts, datasets, and generated research artifacts under research/.
Resolve an investment research target into canonical identifiers and initial context. Use when a user names a company, ticker, sector theme, watchlist item, or ambiguous phrase such as Intel, INTC, Apple, chip stocks, or AI infrastructure before running AIFi research workflows.